CN117631738A - Current adjustment method, device, electronic equipment and readable storage medium - Google Patents

Abstract

This application discloses a current adjustment method, device, electronic equipment and readable storage medium, which belongs to the field of electronic technology. The method includes: acquiring the PPG signal collected by the PPG sensor in the wearable electronic device within the first time period, the first ACC signal collected by the ACC sensor within the first time period, and the light emitting element in the PPG sensor collecting the first ACC signal within the first time period. The average current value within the segment, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal meets the first condition, based on the PPG signal and the first ACC signal and an average current value to adjust the current value of the light emitting element; wherein satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; the PPG signal The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in is greater than the predetermined quantity threshold.

Description

Current adjustment method, device, electronic equipment and readable storage medium

Technical field

This application belongs to the field of electronic technology, and specifically relates to a current adjustment method, device, electronic equipment and readable storage medium.

Background technique

In the era of big data, with the promotion and popularization of wearable electronic devices, wearable electronic devices have become one of the important products in the field of sports and health. Currently, most wearable electronic devices can help users better manage their health conditions through PPG technology, which is a non-invasive optical measurement technology used to measure the user's heart rate and cardiac blood flow.

In related technologies, wearable electronic devices emit light, such as LEDs or laser diodes, by controlling the light-emitting element in the built-in PPG sensor. The light penetrates the skin and reaches the blood vessels and then reflects out of the skin. Then, the PPG in the PPG sensor The chip can calculate user physiological indicators such as heart rate and blood oxygen saturation by converting the detected light intensity and light waveform reflected by the skin surface into PPG signals. These user physiological indicators can be analyzed and recorded through applications in wearable electronic devices, and corresponding health advice and exercise guidance can be provided.

However, when the user wears the wearable electronic device for exercise, the wearable electronic device will sway irregularly as the user's movement changes, causing the PPG signal acquired by the PPG chip in the wearable electronic device to fluctuate. The variation is large, therefore, it will affect the accuracy of wearable electronic devices in measuring user physiological indicators through PPG sensors.

Contents of the invention

The purpose of the embodiments of the present application is to provide a current adjustment method, device, electronic equipment and readable storage medium, which can reduce the signal fluctuation of the PPG signal acquired by the PPG chip in the wearable electronic device, so as to improve the throughput of the wearable electronic device. The accuracy of PPG sensors in measuring user physiological indicators.

In a first aspect, embodiments of the present application provide a current adjustment method. The current adjustment method includes: acquiring a PPG signal collected by a PPG sensor in a wearable electronic device within a first time period, and obtaining a PPG signal collected by an ACC sensor within a first time period. The collected first ACC signal and the average current value of the light emitting element in the PPG sensor during the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; When the PPG signal satisfies the first condition, the current value of the light emitting element is adjusted based on the PPG signal, the first ACC signal and the average current value; wherein satisfying the first condition includes at least one of the following: all samples in the PPG signal The average signal strength of the PPG signal of the point is outside the preset signal strength range; the number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold.

In the second aspect, embodiments of the present application provide a current adjustment device. The current adjustment device includes: an acquisition module and a processing module; the acquisition module is used to acquire the data collected by the PPG sensor in the wearable electronic device within a first time period. The PPG signal, the first ACC signal collected by the ACC sensor in the first time period, and the average current value of the light emitting element in the PPG sensor in the first time period; the PPG signal includes the PPG signal of at least one sampling point, the first The ACC signal includes the ACC signal of at least one sampling point; the processing module is used to adjust the PPG signal, the first ACC signal and the average current value obtained by the acquisition module based on the PPG signal acquired by the acquisition module meeting the first condition. The current value of the light emitting element; wherein, satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; the average signal strength at all sampling points in the PPG signal The number of sampling points whose amplitude is outside the predetermined amplitude range is greater than the predetermined number threshold.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first aspect. the method described.

In a sixth aspect, embodiments of the present application provide a computer program product, the program product is stored in a storage medium, and the program product is executed by at least one processor to implement the method as described in the first aspect.

In the embodiment of the present application, the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the light emitting element in the PPG sensor are obtained. The average current value in the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal satisfies the first condition, based on the PPG signal, the first An ACC signal and an average current value to adjust the current value of the light emitting element; wherein satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range ; The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. In this solution, when the wearable electronic device determines that the PPG signal meets the first condition, it adaptively adjusts the current value of the light-emitting element by combining the ACC signal generated by motion collected in the same time period and the average current value of the light-emitting element. , thereby avoiding the problem that the PPG signal obtained by the PPG chip in the wearable electronic device fluctuates greatly due to irregular shaking caused by the user's movement, thus improving the accuracy of the wearable electronic device in measuring the user's physiological indicators through the PPG sensor. .

Description of drawings

Figure 1 is one of the schematic flow diagrams of a current adjustment method provided by an embodiment of the present application;

Figure 2 is a second schematic flowchart of a current adjustment method provided by an embodiment of the present application;

Figure 3 is the third schematic flowchart of a current adjustment method provided by an embodiment of the present application;

Figure 4 is a schematic structural diagram of a current regulating device provided by an embodiment of the present application;

Figure 5 is one of the schematic diagrams of the hardware structure of an electronic device provided by an embodiment of the present application;

FIG. 6 is a second schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The current adjustment method, device, electronic device and readable storage medium provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

In the era of big data, with the promotion and popularization of wearable electronic devices, wearable electronic devices have become one of the important products in the field of sports and health. Currently, most wearable electronic devices can help users better manage their health conditions through PPG technology, which is a non-invasive optical measurement technology used to measure the user's heart rate and cardiac blood flow.

In related technologies, wearable electronic devices emit light, such as LEDs or laser diodes, by controlling the light-emitting element in the built-in PPG sensor. The light penetrates the skin and reaches the blood vessels and then reflects out of the skin. Then, the PPG in the PPG sensor The chip can calculate user physiological indicators such as heart rate and blood oxygen saturation by converting the detected light intensity and light waveform reflected by the skin surface into PPG signals. These user physiological indicators can be analyzed and recorded through applications in wearable electronic devices, and corresponding health advice and exercise guidance can be provided.

In related technology, the PPG technology used in photoplethysmography refers to the use of optical heart rate sensors. The wearable electronic device emits specific color wavelengths by controlling the light-emitting elements in the built-in PPG sensor, such as LEDs or laser diodes. Light enters the epidermal skin of the human body, and then the photosensitive sensor in the PPG sensor receives the corresponding reflected light or incident light to detect the pulse signal. Except for areas where the absorption of light by human muscles, bones, veins and other tissues is basically constant, the absorption or attenuation of light by arteries flowing under the skin changes all the time; at the same time, due to the regular beating of the heart, the blood is As the blood is pumped into the artery, the blood volume of the artery also changes accordingly. Therefore, when the light passes through the skin tissue and then reflects to the photosensitive sensor at the receiving end, the intensity of the light signal obtained will change to a certain extent. Then, the PPG chip in the PPG sensor converts this change in light signal into a corresponding electrical signal, that is, the above-mentioned PPG signal, so that the wearable electronic device can measure the user's physiological indicators based on the PPG signal.

Usually, when wearing a wearable electronic device, such as a smart watch, a loose wearing state will make the user feel more comfortable and reduce the user's sense of restraint. However, wearing the smart watch in this way will cause the contact between the PPG sensor installed on the bottom case of the smart watch and the skin to change dynamically, causing the data collected by the PPG sensor to be very unstable, making the PPG signal obtained by the PPG chip in the wearable electronic device very unstable. The signal fluctuations vary greatly, which affects the accuracy of the smart watch's calculation of health indicators and greatly reduces the user's experience of measuring their own health during exercise.

In the current adjustment method provided by the embodiment of the present application, the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the PPG sensor are obtained. The average current value of the light emitting element in the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal meets the first condition , based on the PPG signal, the first ACC signal and the average current value, adjust the current value of the light emitting element; wherein, satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is at Outside the preset signal strength range; the number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. In this solution, when the wearable electronic device determines that the PPG signal meets the first condition, it adaptively adjusts the current value of the light-emitting element by combining the ACC signal generated by motion collected in the same time period and the average current value of the light-emitting element. , thus allowing the PPG chip in the wearable electronic device to obtain a relatively stable PPG signal when the user's movement causes irregular shaking, thereby improving the accuracy of the wearable electronic device in measuring the user's physiological indicators through the PPG sensor.

The execution subject of the current adjustment method provided in this embodiment may be a current adjustment device, and the current adjustment device may be a wearable electronic device, or may be a control module or processing module in the wearable electronic device. The following uses a wearable electronic device as an example to describe the technical solutions provided by the embodiments of the present application.

An embodiment of the present application provides a current adjustment method. FIG. 1 shows a flow chart of a current adjustment method provided by an embodiment of the present application. This method can be applied to electronic devices. As shown in Figure 1, the current adjustment method provided by the embodiment of the present application may include the following steps 201 and 202.

Step 201: The wearable electronic device acquires the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the light emitting element in the PPG sensor. The average current value during the first time period.

In some embodiments of the present application, the above-mentioned first time period can be any period of time, it can be a fixed period of time, or it can be a random period of time. For example, within 1s, or within 10ms, etc.

In some embodiments of the present application, the above-mentioned PPG signal includes a PPG signal of at least one sampling point.

In some embodiments of the present application, the above-mentioned first ACC signal includes the ACC signal of at least one sampling point.

In some embodiments of the present application, the PPG sensor acquires the signal strength of the PPG signal at each of at least one sampling point, and obtains a segment of the PPG signal based on the signal strength of the PPG signal at these sampling points.

Step 202: When the PPG signal meets the first condition, the wearable electronic device adjusts the current value of the light emitting element based on the PPG signal, the first ACC signal and the average current value.

In some embodiments of this application, meeting the first condition includes at least one of the following:

The average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range;

The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold.

In some embodiments of the present application, if the above-mentioned PPG signal satisfies the first condition, it means that the fluctuation of the PPG signal changes greatly. Therefore, it is necessary to adjust the current value of the light-emitting element to reduce the fluctuation amplitude of the PPG signal.

In some embodiments of the present application, the above-mentioned preset signal strength range may be a default setting of the wearable electronic device, or may be a user-defined setting.

In some embodiments of the present application, the above-mentioned predetermined amplitude range may be a default setting of the wearable electronic device, or may be a user-defined setting.

For example, the above-mentioned predetermined amplitude range can be determined through experimental evaluation based on different scenarios, such as wearing scenarios, heart rate measurement scenarios, or blood oxygen measurement scenarios.

In some embodiments of the present application, the wearable electronic device is based on the PPG signal, the first ACC signal collected by the ACC sensor in the wearable electronic device within the first time period, and the light emitting element in the PPG sensor within the first time period. average current value, calculate the current value required to adjust the light-emitting element, and adjust the current value of the light-emitting element according to this current value.

In the current adjustment method provided by the embodiment of the present application, the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the PPG signal collected by the PPG sensor in the first time period are obtained. The average current value of the light emitting element in the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal meets the first condition, Based on the PPG signal, the first ACC signal and the average current value, the current value of the light emitting element is adjusted; wherein satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is at a preset It is assumed that the signal strength is outside the range; the number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. In this solution, when the wearable electronic device determines that the PPG signal meets the first condition, it adaptively adjusts the current value of the light-emitting element by combining the ACC signal generated by motion collected in the same time period and the average current value of the light-emitting element. , thus allowing the PPG chip in the wearable electronic device to obtain a relatively stable PPG signal when the user's movement causes irregular shaking, thereby improving the accuracy of the wearable electronic device in measuring the user's physiological indicators through the PPG sensor.

Optionally, in this embodiment of the present application, as shown in Figure 2 in conjunction with Figure 1, the above step 202 specifically includes steps 202a to 202d:

Step 202a: The wearable electronic device performs a sliding window operation on the first ACC signal to obtain the second ACC signal within N sliding windows, where N is an integer greater than 1.

In some embodiments of the present application, the wearable electronic device can perform a sliding window operation on the first ACC signal according to the preset window length and the preset sliding window distance to obtain the second ACC signal within N sliding windows.

For example, the above-mentioned preset window length may be set by default for the wearable electronic device, or may be customized by the user.

For example, the above-mentioned preset sliding window distance may be a default setting of the wearable electronic device, or may be a user-defined setting.

For example, assuming that the first ACC signal includes ACC signals of 500 sampling points, if the window length is 300 and the sliding window distance is 100, the first ACC signal can be divided into three second ACC signals. The first second ACC signal includes the ACC signal from the 1st sampling point to the 300th sampling point; the second second ACC signal includes the ACC signal from the 100th sampling point to the 400th sampling point, and the third second ACC signal includes the ACC signal from the 100th sampling point to the 400th sampling point. The second ACC signal includes the ACC signal from the 200th sampling point to the 500th sampling point.

Step 202b: The wearable electronic device calculates the similarity between any two second ACC signals among the N second ACC signals.

In some embodiments of the present application, a dynamic time warping algorithm (Dynamic Time Warping, DTW) calculates the self-similarity between two second ACC signals.

In some embodiments of the present application, the self-similarity between any two ACC signals mentioned above is used to represent the consistency of the user's actions under these two ACC signals.

Step 202c: When the first similarity is greater than the first threshold and the first difference between the first predicted current value and the average current value is greater than or equal to the second threshold, the wearable electronic device determines the current value based on the first difference and the average current value, calculate the first current value, and adjust the current value of the light emitting element based on the first current value.

In some embodiments of the present application, the first similarity is the highest similarity among the similarities of any two second ACC signals among the N second ACC signals.

In some embodiments of the present application, the above-mentioned first threshold may be set by default for the wearable electronic device or may be customized by the user.

In some embodiments of the present application, the above-mentioned first predicted current value is calculated based on the preset amplitude, the amplitude of the first PPG signal, and the average current value collected in the first time period.

For example, the above-mentioned preset amplitude may be an average of the upper limit and the lower limit of the above-mentioned preset amplitude range.

For example, the above-mentioned first predicted current value can be calculated based on Formula 1.

Illustratively, the above formula 1 is:

In some embodiments of the present application, the above-mentioned second threshold may be set by default for the wearable electronic device, or may be customized by the user.

In some embodiments of the present application, the above "adjusting the current value of the light-emitting element based on the first current value" means that the wearable electronic device can directly adjust the current value of the light-emitting element in the PPG sensor to the first current value.

Optionally, in some embodiments of the present application, "calculate the first current value based on the first difference and the average current value" in the above step 202c specifically includes step 202c1:

Step 202c1: The wearable electronic device halves the first difference between the first predicted current value and the average current value and adds it to the average current value to obtain the first current value.

In some embodiments of the present application, the wearable electronic device may use Formula 2 to calculate the above-mentioned first current value.

Illustratively, the above formula 2 is:

Step 202d: When the first similarity is less than or equal to the first threshold and the first difference is greater than or equal to the second threshold, the wearable electronic device calculates the second current value based on the first difference and the average current value, and adjusting the current value of the light emitting element a preset number of times based on the second current value.

In some embodiments of the present application, the above-mentioned number of presets may be set by default for the wearable electronic device, or may be customized by the user.

In some embodiments of the present application, after calculating the second current value, the wearable electronic device superimposes the second current value multiple times according to a preset number of times to adjust the current value of the light emitting element.

For example, assuming that the preset number of current adjustments is three times, after the wearable electronic device calculates the second current value, it first adjusts the current value of the light-emitting element to the second current value, and then adjusts the light emission for the second time. When adjusting the current value of the component, add the current current value to the second current value to obtain the current value to be adjusted for the second time. When adjusting the current value of the light-emitting component for the third time, add the current current value to the second current value again. , to obtain the current value to be adjusted for the third time to obtain the final current value of the light generating element.

Optionally, in some embodiments of the present application, "calculate the first current value based on the first difference and the average current value" in step 202d above specifically includes step 202d1:

Step 202d1: The wearable electronic device adds one-third of the first difference between the first predicted current value and the average current value to the average current value to obtain a second current value.

In some embodiments of the present application, the wearable electronic device can use Formula 3 to calculate the above-mentioned first current value.

Illustratively, the above formula 3 is:

In this way, the wearable electronic device can determine how to adjust the current value of the light emitting element based on whether the user's movements are regular, so that the PPG sensor can obtain a more stable PPG signal based on the adjusted current value.

In another possible embodiment, when the difference between the first predicted current of the wearable electronic device and the average current value of the light emitting element in the PPG sensor within the first time period is less than the above-mentioned second threshold, The wearable electronic device can directly adjust the current value of the light emitting element according to the first predicted current.

In this way, when the difference between the current value that needs to be adjusted and the current current value is not large, the wearable electronic device can directly adjust the current value of the light-emitting element, so that the PPG sensor can obtain a better value based on the adjusted current value. Stable PPG signal.

Optionally, in some embodiments of the present application, as shown in Figure 3 in conjunction with Figure 1, the above step 202 specifically includes steps 202A to 202E:

Step 202A: The wearable electronic device acquires at least one motion data set.

In some embodiments of the present application, each motion data set in the at least one motion data set corresponds to an action.

In some embodiments of the present application, the above-mentioned at least one motion data set may be obtained from a preset database or may be obtained from the user's historical motion data.

In some embodiments of the present application, the above-mentioned motion data set includes the ACC signal collected by the ACC sensor, the PPG signal collected by the PPG sensor, and the average current value of the light emitting element during the user's action.

In some embodiments of the present application, the above actions may be regular actions. For example, walking, indoor running, outdoor running or ball games, etc.

Step 202B: The wearable electronic device calculates the similarity between the first ACC signal or the third ACC signal and the ACC signal in each motion data set.

In some embodiments of the present application, the third ACC signal is an ACC signal obtained by performing a sliding window operation on the first ACC signal.

In some embodiments of the present application, the wearable electronic device can use a dynamic time warping algorithm (Dynamic Time Warping, DTW) to calculate the similarity between the first ACC signal or the third ACC signal and the ACC signal in each motion data set.

In some embodiments of the present application, the similarity between the above-mentioned first ACC signal or the third ACC signal and the ACC signal in each motion data set is used to characterize the actions performed by the user when the ACC sensor collects the first ACC signal, and is consistent with the motion. The consistency, or similarity, of the actions corresponding to the data set.

It can be understood that the higher the similarity between the two signal segments, the more similar the actions corresponding to the two signal segments are.

Step 202C: The wearable electronic device determines the first motion data set from at least one motion data set based on the similarity between the first ACC signal or the third ACC signal and the ACC signal in each motion data set.

In some embodiments of the present application, the first motion data set is the motion data set in which the ACC signal with the highest similarity is located.

Step 202D: The wearable electronic device calculates a third current value based on the PPG signal and the average current value in the first motion data set, as well as the PPG signal.

In a possible embodiment, when the maximum similarity among the similarities is greater than or equal to the first threshold, the wearable electronic device is based on the average current value in the first motion data set, the average signal strength of the PPG signal and the first The average signal strength of the PPG signal in the motion data set is used to calculate the third current value.

In some embodiments of the present application, the above-mentioned wearable electronic device may use Formula 4 to calculate the third current value.

Illustratively, the above formula 4 is:

In another possible embodiment, when the maximum similarity among the similarities is less than the first threshold, the wearable electronic device directly performs the above-mentioned process of steps 202a to 202d.

Step 202E: The wearable electronic device adjusts the current value of the light-emitting element based on the third current value and the second difference between the third current value and the average current value of the light-emitting element in the PPG sensor within the first time period.

In some embodiments of the present application, the wearable electronic device calculates a second difference between the third current value and the average current value of the light emitting element in the PPG sensor within the first time period, and based on the second difference and The third current value adjusts the current value of the emission element.

In a possible example, when the second difference between the third current value calculated by the wearable electronic device and the average current value of the light emitting element in the PPG sensor within the first time period is less than the above-mentioned second threshold. , wearable electronic devices can. Then adjust the current value of the light emitting element according to the third current value.

In another possible embodiment, the second difference between the third current value calculated by the wearable electronic device and the average current value of the light emitting element in the PPG sensor within the first time period is greater than or equal to the above-mentioned second In the case of a threshold value, the wearable electronic device calculates and adjusts the current value of the light-emitting element based on the third current value and the above-mentioned second difference value, and adjusts the current value of the light-emitting element based on the calculated current value.

For example, the wearable electronic device uses the above formula 2 to calculate and adjust the current value of the light-emitting element based on the third current value and the above-mentioned second difference value.

In this way, the wearable electronic device can determine how to adjust the current value based on the difference between the predicted adjusted current value and the current current value, so as to make the adjusted current value more accurate.

Optionally, in the embodiment of the present application, the current condition method provided by the embodiment of the present application can be executed by the dimming judgment module, the action estimation model, and the dimming current prediction model.

In some embodiments of the present application, the above-mentioned dimming determination module is used to determine whether the above-mentioned PPG signal meets the first condition, that is, whether the current value of the light-emitting element needs to be adjusted.

Specifically, the above-mentioned internal processing process of the dimming judgment module may be executed with reference to the above-mentioned step 201.

In some embodiments of the present application, the above-mentioned action estimation model is used to determine the action performed by the user when the above-mentioned first ACC signal is collected.

Specifically, the above-mentioned internal processing of the action estimation model may be performed with reference to the above-mentioned steps 202a and 202b, as well as steps 202A to 202C.

In some embodiments of the present application, the above-mentioned dimming current prediction model is used to calculate and adjust the current value of the above-mentioned light-emitting element.

Specifically, the internal processing of the up-regulated photocurrent prediction model may be performed with reference to the above-mentioned steps 202c and 202d, as well as steps 202D and 202E.

In this way, the smart watch can automatically recognize and learn the user's regular standard movement actions in sports scenes, and predict the regulating current of the PPG chip by analyzing the standard movements, which greatly improves the accuracy of the watch's regulating current calculation in sports conditions, and can provide Healthy algorithms provide higher signal quality data.

It should be noted that, for the current adjustment method provided by the embodiments of the present application, the execution subject may be a current adjustment device, a wearable electronic device, or a functional module or entity of the wearable electronic device. In the embodiment of the present application, the current regulating device performing the current regulating method is taken as an example to illustrate the current regulating device provided by the embodiment of the present application.

FIG. 4 shows a possible structural diagram of the current regulating device involved in the embodiment of the present application. As shown in Figure 4, the current regulating device 700 may include: an acquisition module 701 and a processing module 702;

Among them, the above-mentioned acquisition module 701 is used to acquire the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the light emission in the PPG sensor. The average current value of the component in the first time period; the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; the PPG signal includes the PPG signal of at least one sampling point, and the first ACC The signal includes an ACC signal of at least one sampling point; the above-mentioned processing module 702 is used to, when the PPG signal acquired by the above-mentioned acquisition module 701 meets the first condition, based on the PPG signal acquired by the above-mentioned acquisition module 701, the first ACC signal and the average The current value is to adjust the current value of the light emitting element; wherein, satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points is greater than the predetermined quantity threshold.

Optionally, in some embodiments of the present application, the above-mentioned processing module 702 is specifically used to: perform sliding window operation on the first ACC signal to obtain the second ACC signal within N sliding windows, where N is an integer greater than 1; Calculate the similarity between any two second ACC signals among the N second ACC signals; when the first similarity is greater than the first threshold, and the first difference between the first predicted current value and the average current value is greater than or equal to the first In the case of two thresholds, the first current value is calculated based on the first difference and the average current value, and the current value of the light emitting element is adjusted based on the first current value; when the first similarity is less than or equal to the first threshold, and When the first difference is greater than or equal to the second threshold, the second current value is calculated based on the first difference and the average current value, and the current value of the light emitting element is adjusted a preset number of times based on the second current value; wherein, The first similarity is the highest similarity among the similarities of any two second ACC signals, and the first predicted current value is calculated based on the preset amplitude, the amplitude of the PPG signal, and the average current value.

Optionally, in some embodiments of the present application, the above-mentioned processing module 702 is specifically configured to halve the first difference between the first predicted current value and the average current value and then add it to the average current value to obtain the first current value; or, the above-mentioned processing module 702 is specifically configured to add one-third of the first difference between the first predicted current value and the average current value to the average current value to obtain the second current value.

Optionally, in some embodiments of the present application, the above-mentioned acquisition module 701 is also used to acquire at least one motion data set, each motion data set corresponds to an action, and the motion data set includes the user's actions during the preset motion. , the ACC signal collected by the ACC sensor, the PPG signal collected by the PPG sensor, and the average current value of the light emitting element; the above-mentioned processing module 702 is also used to calculate the first ACC signal or the third ACC signal, and the ACC in each motion data set. The similarity of the signals, the third ACC signal is the ACC signal obtained by performing a sliding window operation on the first ACC signal; the above-mentioned processing module 702 is also used to determine the first motion data set from at least one motion data set based on the similarity, The first motion data set is the motion data set in which the ACC signal with the highest similarity is located; the above-mentioned processing module 702 is specifically used to calculate the third current value based on the PPG signal and the average current value in the first motion data set, and the PPG signal; The above processing module 702 is specifically configured to adjust the current value of the light emitting element based on the third current value and the second difference between the third current value and the average current value.

Optionally, in some embodiments of the present application, the above-mentioned processing module 702 is specifically configured to, in the case where the maximum similarity among the similarities is greater than or equal to the first threshold, based on the average current value, PPG in the first motion data set The third current value is calculated based on the average signal strength of the signal and the average signal strength of the PPG signal in the first motion data set.

In the current regulating device provided by the embodiment of the present application, the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the PPG signal collected by the PPG sensor in the first time period are obtained. The average current value of the light emitting element in the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal meets the first condition, Based on the PPG signal, the first ACC signal and the average current value, the current value of the light emitting element is adjusted; wherein satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is at a preset It is assumed that the signal strength is outside the range; the number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. In this solution, when the current adjustment device determines that the PPG signal meets the first condition, it adaptively adjusts the current value of the light emitting element by combining the ACC signal generated by motion collected in the same time period and the average current value of the light emitting element. Therefore, when the user's movement causes irregular shaking, the PPG chip in the current regulating device can obtain a relatively stable PPG signal, thereby improving the accuracy of the current regulating device in measuring the user's physiological indicators through the PPG sensor.

The current regulating device in the embodiment of the present application may be an electronic device, a wearable electronic device, or a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile Internet device (MID), or augmented reality (AR)/virtual reality (VR). ) equipment, robots, wearable devices, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (personal digital assistants, PDA), etc., and can also be servers, network attached storage (Network Attached Storage, NAS) ), personal computer (PC), television (TV), teller machine or self-service machine, etc., the embodiments of this application are not specifically limited.

The current regulating device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The current regulating device provided by the embodiment of the present application can implement various processes implemented by the method embodiments of Figures 1 to 3. To avoid repetition, they will not be described again here.

Optionally, as shown in Figure 5, this embodiment of the present application also provides an electronic device 800, including a processor 801 and a memory 802. The memory 802 stores programs or instructions that can be run on the processor 801. When the program or instruction is executed by the processor 801, each step of the above current adjustment method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, the details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 6 is a schematic diagram of the hardware structure of an electronic device that implements an embodiment of the present application. The electronic device may be a wearable electronic device.

The electronic device 100 includes but is not limited to: radio frequency unit 101, network module 102, audio output unit 103, input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, etc. part.

Those skilled in the art can understand that the electronic device 100 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 110 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 6 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Among them, the radio frequency unit 101 is used to obtain the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the light emitting element in the PPG sensor. The average current value in the first time period; the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal An ACC signal including at least one sampling point; the processor 110 is configured to adjust, based on the PPG signal obtained by the radio frequency unit 101, the first ACC signal and the average current value, if the PPG signal obtained by the radio frequency unit 101 satisfies the first condition. The current value of the light emitting element; wherein, satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; the average signal strength at all sampling points in the PPG signal The number of sampling points whose amplitude is outside the predetermined amplitude range is greater than the predetermined number threshold.

Optionally, in some embodiments of the present application, the processor 110 is specifically configured to: perform a sliding window operation on the first ACC signal to obtain the second ACC signal within N sliding windows, where N is an integer greater than 1; calculate The similarity of any two second ACC signals among the N second ACC signals; when the first similarity is greater than the first threshold, and the first difference between the first predicted current value and the average current value is greater than or equal to the second threshold In the case of , calculate the first current value based on the first difference and the average current value, and adjust the current value of the light emitting element based on the first current value; when the first similarity is less than or equal to the first threshold, and the first When the difference is greater than or equal to the second threshold, the second current value is calculated based on the first difference and the average current value, and the current value of the light emitting element is multiplied based on the second current value and the preset number of current adjustments. Adjustments; wherein, the first similarity is the highest similarity among the similarities of any two second ACC signals, and the first predicted current value is calculated based on the preset amplitude, the amplitude of the PPG signal, and the average current value. .

Optionally, in some embodiments of the present application, the processor 110 is specifically configured to halve the first difference between the first predicted current value and the average current value and then add it to the average current value to obtain the first current value. ; Or, the processor 110 is specifically configured to add one-third of the first difference between the first predicted current value and the average current value to the average current value to obtain the second current value.

Optionally, in some embodiments of the present application, the radio frequency unit 101 is also used to obtain at least one motion data set. Each motion data set corresponds to an action. The motion data set includes the user's actions during the preset motion. The ACC signal collected by the ACC sensor, the PPG signal collected by the PPG sensor, and the average current value of the light emitting element; the processor 110 is also used to calculate the relationship between the first ACC signal or the third ACC signal and the ACC signal in each motion data set. Similarity, the third ACC signal is an ACC signal obtained by performing a sliding window operation on the first ACC signal; the processor 110 is also configured to determine the first motion data set from at least one motion data set based on the similarity, the first motion The data set is the motion data set in which the ACC signal with the highest similarity is located; the processor 110 is specifically configured to calculate the third current value based on the PPG signal and the average current value in the first motion data set, and the PPG signal; the processor 110, Specifically, it is used to adjust the current value of the light emitting element based on the third current value and the second difference between the third current value and the average current value.

Optionally, in some embodiments of the present application, the processor 110 is specifically configured to, when the highest similarity among the similarities is greater than or equal to the first threshold, based on the average current value and PPG signal in the first motion data set The third current value is calculated as well as the average signal strength of the PPG signal in the first motion data set.

In the wearable electronic device provided by the embodiment of the present application, the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the PPG sensor are obtained The average current value of the light emitting element in the first time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; when the PPG signal meets the first condition , based on the PPG signal, the first ACC signal and the average current value, adjust the current value of the light emitting element; wherein, satisfying the first condition includes at least one of the following: the average signal strength of the PPG signal at all sampling points in the PPG signal is at Outside the preset signal strength range; the number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. In this solution, when the wearable electronic device determines that the PPG signal meets the first condition, it adaptively adjusts the current value of the light-emitting element by combining the ACC signal generated by motion collected in the same time period and the average current value of the light-emitting element. , thus allowing the PPG chip in the wearable electronic device to obtain a relatively stable PPG signal when the user's movement causes irregular shaking, thereby improving the accuracy of the wearable electronic device in measuring the user's physiological indicators through the PPG sensor.

It should be understood that in the embodiment of the present application, the input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042. The graphics processor 1041 is responsible for the image capture device (such as Process the image data of still pictures or videos obtained by the camera). The display unit 106 may include a display panel 1061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 107 includes a touch panel 1071 and at least one of other input devices 1072 . Touch panel 1071 is also called a touch screen. The touch panel 1071 may include two parts: a touch detection device and a touch controller. Other input devices 1072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 109 may include volatile memory or nonvolatile memory, or memory 109 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 109 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 110 may include one or more processing units; optionally, the processor 110 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 110 .

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above-mentioned current adjustment method embodiment is implemented, and the same can be achieved. The technical effects will not be repeated here to avoid repetition.

Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above current adjustment method embodiment. Each process can achieve the same technical effect. To avoid repetition, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product. The program product is stored in a storage medium. The program product is executed by at least one processor to implement each process of the above-mentioned current adjustment method embodiment, and can achieve the same technical effect. , to avoid repetition, will not be repeated here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims (12)

1. A current regulation method, characterized in that the method includes: Obtain the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the light emitting element in the PPG sensor in the first time period. The average current value within a time period, the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; When the PPG signal satisfies the first condition, adjusting the current value of the light emitting element based on the PPG signal, the first ACC signal and the average current value; Wherein, satisfying the first condition includes at least one of the following: The average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. 2. The method of claim 1, wherein adjusting the current value of the light emitting element based on the PPG signal, the first ACC signal and the average current value includes: Perform a sliding window operation on the first ACC signal to obtain the second ACC signal within N sliding windows, where N is an integer greater than 1; Calculate the similarity between any two second ACC signals among the N second ACC signals; When the first similarity is greater than the first threshold and the first difference between the first predicted current value and the average current value is greater than or equal to the second threshold, based on the first difference and the average current value, calculate a first current value, and adjust the current value of the light emitting element based on the first current value; When the first similarity is less than or equal to the first threshold and the first difference is greater than or equal to the second threshold, based on the first difference and the average current value, calculate a second current value, and adjusting the current value of the light-emitting element a preset number of times based on the second current value; Wherein, the first similarity is the highest similarity among the similarities between any two second ACC signals, and the first predicted current value is based on the preset amplitude, the amplitude of the PPG signal and The average current value is calculated. 3. The method of claim 2, wherein calculating the first current value based on the first difference and the average current value includes: The first difference between the first predicted current value and the average current value is halved and then added to the average current value to obtain the first current value; Calculating the second current value based on the first difference and the average current value includes: The second current value is obtained by adding one-third of the first difference between the first predicted current value and the average current value to the average current value. 4. The method of claim 1, wherein adjusting the current value of the light emitting element based on the PPG signal, the first ACC signal and the average current value includes: Obtain at least one motion data set, each motion data set corresponds to an action, and the motion data set includes the ACC signal collected by the ACC sensor, the PPG signal collected by the PPG sensor, and the The average current value of the light-emitting element; Calculate the similarity between the first ACC signal or the third ACC signal and the ACC signal in each motion data set, where the third ACC signal is an ACC signal obtained by performing a sliding window operation on the first ACC signal; Based on the similarity, determine a first motion data set from the at least one motion data set, where the first motion data set is the motion data set in which the ACC signal with the highest similarity is located; Calculate a third current value based on the PPG signal and the average current value in the first motion data set, and the PPG signal; The current value of the light emitting element is adjusted based on the third current value and a second difference between the third current value and the average current value. 5. The method of claim 4, wherein calculating the third current value based on the PPG signal and the average current value in the first motion data set, and the PPG signal, includes: In the case where the highest similarity among the similarities is greater than or equal to the first threshold, based on the average current value in the first motion data set, the average signal strength of the PPG signal and the The average signal strength of the PPG signal is used to calculate the third current value. 6. A current regulating device, characterized in that the current regulating device includes: an acquisition module and a processing module; The acquisition module is used to acquire the PPG signal collected by the PPG sensor in the wearable electronic device in the first time period, the first ACC signal collected by the ACC sensor in the first time period, and the PPG signal in the PPG sensor. The average current value of the light emitting element within the first time period; the PPG signal includes the PPG signal of at least one sampling point, and the first ACC signal includes the ACC signal of at least one sampling point; The processing module is configured to process the PPG signal, the first ACC signal and the average current value based on the PPG signal acquired by the acquisition module when the PPG signal acquired by the acquisition module satisfies the first condition. , adjust the current value of the light emitting element; Wherein, satisfying the first condition includes at least one of the following: The average signal strength of the PPG signal at all sampling points in the PPG signal is outside the preset signal strength range; The number of sampling points whose amplitudes are outside the predetermined amplitude range of all sampling points in the PPG signal is greater than the predetermined quantity threshold. 7. The device according to claim 6, characterized in that the processing module is specifically used for: Perform a sliding window operation on the first ACC signal to obtain the second ACC signal within N sliding windows, where N is an integer greater than 1; Calculate the similarity between any two second ACC signals among the N second ACC signals; When the first similarity is greater than the first threshold and the first difference between the first predicted current value and the average current value is greater than or equal to the second threshold, based on the first difference and the average current value, calculate a first current value, and adjust the current value of the light emitting element based on the first current value; When the first similarity is less than or equal to the first threshold and the first difference is greater than or equal to the second threshold, based on the first difference and the average current value, calculate a second current value, and adjusting the current value of the light-emitting element a preset number of times based on the second current value; Wherein, the first similarity is the highest similarity among the similarities between any two second ACC signals, and the first predicted current value is based on the preset amplitude, the amplitude of the PPG signal and The average current value is calculated. 8. The device according to claim 7, wherein the processing module is specifically configured to halve the first difference between the first predicted current value and the average current value and compare it with the average value. Add the current values to obtain the first current value; or, The processing module is specifically configured to add one third of the first difference between the first predicted current value and the average current value to the average current value to obtain the second current value. 9. The device according to claim 6, characterized in that the acquisition module is also used to acquire at least one motion data set, each motion data set corresponds to an action, and the motion data set includes a user performing a motion. In the process, the ACC signal collected by the ACC sensor, the PPG signal collected by the PPG sensor and the average current value of the light emitting element; The processing module is also used to calculate the similarity between the first ACC signal or the third ACC signal and the ACC signal in each motion data set. The third ACC signal is a slide of the first ACC signal. ACC signal obtained after window operation; The processing module is further configured to determine a first motion data set from the at least one motion data set based on the similarity, where the first motion data set is the motion data set in which the ACC signal with the highest similarity is located; The processing module is specifically configured to calculate the third current value based on the PPG signal and the average current value in the first motion data set, and the PPG signal; The processing module is specifically configured to adjust the current value of the light emitting element based on the third current value and the second difference between the third current value and the average current value. 10. The device according to claim 9, characterized in that the processing module is specifically configured to: when the highest similarity among the similarities is greater than or equal to a first threshold, based on the first motion data The third current value is calculated based on the average current value in the set, the average signal strength of the PPG signal, and the average signal strength of the PPG signal in the first motion data set. 11. An electronic device, characterized in that it includes a processor, a memory and a program or instructions stored on the memory and executable on the processor. The program or instructions are implemented when executed by the processor. The steps of the current regulating method according to any one of claims 1 to 5. 12. A readable storage medium, characterized in that a program or instructions are stored on the readable storage medium, and when the programs or instructions are executed by a processor, the current flow according to any one of claims 1 to 5 is realized. Adjustment method steps.