CN105078422B - Method and apparatus for monitoring cardiopulmonary resuscitation compression interruption time - Google Patents

Abstract

The application discloses a method and equipment for monitoring cardio-pulmonary resuscitation pressing interruption time based on a pulse blood oxygen technology, and discloses a pulse wave processing method, which comprises the following steps: processing a detected signal, wherein the detected signal reflects the real-time pulse characteristic of a detected person; performing pulse wave identification according to the processing result; counting the pulse wave fluctuation period according to the identification result; and outputting the statistical information. The application also discloses a medical device for pulse wave processing. In the embodiment of this application, because the period to the pulse wave disappearance through the identification result to the pulse wave is makeed statistics of, and output statistical information for medical personnel can directly acquire statistical information, for among the prior art, observe the pulse wave waveform through the people's eye and judge the pulse wave, the information in the period that this application can show the pulse wave disappearance directly perceivedly can remind the doctor to pay attention to and avoid potential danger, in order to do benefit to and improve cardiopulmonary resuscitation success rate.

Description

Method and device for monitoring interruption time of cardiopulmonary resuscitation compressions

technical field

The present application relates to the medical field, and in particular, to a method, a device and a medical device for monitoring the interruption time of cardiopulmonary resuscitation.

Background technique

Cardiovascular disease has become the leading cause of human morbidity and mortality, resulting in approximately 17 million deaths worldwide each year, many of which manifest as sudden cardiac death. Sudden cardiac death has become an important killer threatening human life and health, and the most effective and direct medical method for this situation is cardiopulmonary resuscitation (CPR). CPR creates a temporary artificial circulation by increasing intrathoracic pressure (thoracic pumping mechanism) or directly squeezing the heart (cardiac pumping mechanism) to generate blood flow to deliver oxygen to the brain and other vital organs.

In the absence of recovery of spontaneous circulation, high-quality chest compressions should be performed with minimal interruptions. In 2013, the American College of Cardiology recommended that chest compression time should not be less than 80% of the total rescue time. In the process of chest compressions, due to endotracheal intubation, replacement of the compressor, electrical defibrillation and other operations, the compression is often interrupted. Excessive interruption of chest compressions will lead to a decrease in coronary perfusion pressure, which will lead to a decrease in the rate of recovery of spontaneous circulation, and even recovery of spontaneous circulation will reduce long-term neurological outcomes. At present, there is no simple and easy monitoring method to detect and remind the rescuer of the interruption of compression, which reduces the quality of cardiopulmonary resuscitation and makes it difficult to achieve the ideal rescue effect. For patients with cardiac arrest during chest compression, blood oxygen monitoring will display the blood flow pulse waveform caused by the compression. If the compression is interrupted, the blood flow pulse waveform disappears immediately. Conventional blood oxygen monitoring generally can only display the pulse wave waveform, which needs to be judged by observing the pulse wave waveform with the human eye, and cannot directly give an early warning of the interruption time of pressing.

SUMMARY OF THE INVENTION

The present application provides a pulse wave processing method, device and medical equipment.

According to a first aspect of the present application, the present application provides a method for monitoring the interruption time of cardiopulmonary resuscitation compressions, comprising:

Process the measured signal, the measured signal reflects the real-time pulse characteristics of the measured person;

Pulse wave recognition is performed according to the processing result;

According to the recognition result, the period of pulse wave extinction is counted;

Output statistics.

According to a second aspect of the present application, the present application provides a processing device for monitoring the interruption time of CPR compressions, including:

an analog-to-digital conversion unit for processing the measured signal, the measured signal reflecting the real-time pulse characteristics of the measured person;

The digital signal processing unit is used to identify the pulse wave according to the processing result, and perform statistics on the period of pulse wave extinction according to the identification result;

Output unit for outputting statistics.

According to a third aspect of the present application, the present application provides a medical device, comprising:

A light-emitting receiver, which includes a light-emitting tube and a receiving tube, the light-emitting tube emits at least one light signal for passing through human tissue, the receiving tube receives at least one light signal passing through the human tissue, and converts it into at least one light signal electric signal;

a digital processor, configured to convert the electrical signal into a digital signal, process the digital signal, identify the pulse wave according to the processing result, and count the period during which the pulse wave stops;

Output module for outputting statistics.

Due to the adoption of the above technical solutions, the beneficial effects of the present application are:

(1) In the specific embodiment of the present application, since the period of pulse wave extinction is counted by the recognition result of the pulse wave, and the statistical information is output, the medical staff can directly obtain the statistical information. The pulse wave can be judged by observing the pulse wave waveform with the eyes. The application can intuitively display the information of the period of the pulse wave extinction, and can remind the doctor to avoid potential dangers, so as to improve the success rate of cardiopulmonary resuscitation.

(2) In the specific embodiment of the present application, since the output statistical information includes the duration of the pulse wave extinction time, the doctor can monitor the time of stopping the compression, which can prevent the patient from being in danger because the time of stopping the compression exceeds the specified time.

(3) In the specific embodiment of the present application, since the output statistical information includes the total time ratio of the statistical pulse wave extinction time, the doctor can be intuitively reminded, so that the doctor can avoid the reduction of the chest compression time ratio due to subjective factors or negligence. danger.

Description of drawings

Fig. 1 is the flow chart in one embodiment of the application method;

FIG. 2 is a schematic diagram of a manual/mechanical pressing state change in an embodiment;

FIG. 3 is a schematic diagram of functional modules of the apparatus of the present application in an embodiment.

Detailed ways

The present application will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

Example 1:

As shown in FIG. 1 , the pulse wave processing method of the present application, an embodiment thereof, includes the following steps:

Step 102: Process the measured signal, and the measured signal reflects the real-time pulse characteristics of the measured person. Among them, the signal under test is processed, including:

Identify fluctuating and constant components from the measured signal;

Pulse waves are generated based on fluctuation components.

In this application, a sliding time window can be established, and the pulse wave can be displayed in the sliding time window.

Step 104: Perform pulse wave identification according to the processing result.

In the absence of recovery of spontaneous circulation, high-quality chest compressions should be performed with minimal interruptions. Factors such as tracheal intubation or replacement of the compressor during manual compression often lead to interruption of compression. The latest cardiopulmonary resuscitation guidelines propose that the chest compression time ratio should be more than 80%, and the interruption of chest compressions should not exceed 10s. Interrupting compressions for too long will significantly reduce the recovery rate of spontaneous circulation. However, in the actual clinical rescue situation, it is not possible to monitor the interruption time of compression, nor to remind medical staff in time, which often leads to interruption of compression for a long time, and the proportion of chest compression time decreases, which is not conducive to the recovery of patients' spontaneous circulation.

Based on the premise that the patient has no spontaneous circulation, manual pressing and squeezing of the heart will generate a heartbeat, and blood circulation will be formed at the fingertips. And once this pressing is stopped, the blood circulation will disappear. In the blood oxygen system, the pressure is present, there is a pulse wave signal, the pressure is stopped, and the pulse wave disappears. Therefore, the artificial/mechanical compression state of the pulse wave can be recognized by the change of the pulse wave. The manual/mechanical compression states described herein include the compression continuous state and the compression intermittent state. When the manual/mechanical pressing state is the pressing continuous state, the pulse wave continues; when the manual/mechanical pressing state is the pressing intermittent state, the pulse wave stops.

The identification of the pulse wave can be identified by the amplitude (Amplitude) and width (Width) of a single pulse. The amplitude is the AC component, and the width is the mapping of the sampling points of the single pulse frequency. The mapping relationship between the number of sampling points and frequency and pulse is:

PulseRate=60*f _Hz =60*SampleRate/Width

PulseRate is the number of pulses per minute (unit: times/minute), f _Hz is the single pulse frequency, SampleRate is the sampling rate of the blood oxygen signal, and Width is the pulse width of a single pulse, that is, the number of sampling points. The time domain area indicator is also based on the width of a single pulse.

The traditional method only extracts the amplitude and width information of a single pulse wave, which can be used to judge whether it is a complete pulse wave. In the harsh environment of clinical compression rescue, interference may increase the difficulty of pulse wave identification, and only relying on amplitude and width information may cause misidentification.

In one embodiment, performing pulse wave identification includes:

Take multiple single pulse waves, and identify the period during which the pulse wave stops through the changes of the multiple single pulse waves.

In one embodiment, at least three consecutive single pulse waves can be taken, and the period of pulse wave extinction can be identified by the change in the area value of the single pulse wave or the change in the waveform of the single pulse wave.

In order to improve the recognition accuracy of pulse wave/non-pulse wave, more feature information can be used to assist the recognition. In one embodiment, through the fluctuation of the area value of a plurality of consecutive (such as greater than or equal to 3) single pulse waves or the correlation of the waveform shapes of a plurality of consecutive (such as greater than or equal to 3) single pulse waves, etc. By adding these methods, the recognition rate of pulse and no pulse state can be greatly improved, and the influence of clinical interference on parameter measurement can be reduced.

Step 106: according to the recognition result, perform statistics on the period of pulse wave extinction;

In the present application, the period during which the pulse wave ceases is the manual/mechanical compression interval.

In an implementation manner, according to the identification result, the pulse wave extinction period is counted, including: counting the duration of the pulse wave extinction time.

In another implementation manner, according to the identification result, statistics are performed on the period of pulse wave extinction, further comprising:

The total time ratio of pulse wave extinction time is counted, which is the ratio of the cumulative duration of the pulse wave extinction period to the CPR operation duration.

In another implementation manner, according to the identification result, statistics are performed on the period of pulse wave extinction, further comprising:

Preset the first threshold and the second threshold;

When the duration of the pulse wave extinction period is greater than the first threshold, output alarm prompt information;

And/or when the total occupancy ratio of the pulse wave extinction time is greater than the second threshold, output alarm prompt information.

The application can realize the total time in the following ways: 1. By default, when the patient clip puts on the probe, the timer is started, and the probe is automatically cleared when the probe is not connected to the patient (the probe is the medium for collecting the patient's physiological signals); 2. Set start and stop The button is operated by doctors and nurses during use. When applying, click "Start" to start the total time counting, and click "Stop" to stop the total time counting.

At the end of the manual/mechanical compression interval, the manual/mechanical compression state changes to the manual/mechanical compression continuous state, that is, when the compression waveform appears again, the timing will not be counted.

In an embodiment, the total time-to-time ratio of the pulse wave extinction time is specifically calculated by the following formula:

为人工/机械按压过程的采样点累积统计；

为人工/机械按压过程中出现人工/机械间歇期的采样点数据累积统计；其中p＝1,2,3,……P，p指第p次人工/机械间歇期；P指在N点长度的人工/机械按压过程中发生的人工/机械间歇期的总次数；q＝1,2,3,……Q，q为第p次CPR间歇期中的第q点，Q指第p次人工/机械间歇期所持续的总点数。in,

Cumulative statistics for the sampling points of the manual/mechanical compression process;

It is the cumulative statistics of the sampling point data of the manual/mechanical interval during the manual/mechanical compression process; where p=1,2,3,...P, p refers to the p-th manual/mechanical interval; P refers to the length at point N The total number of manual/mechanical intervals occurred during the manual/mechanical compression; q=1,2,3,...Q, q is the qth point in the pth CPR interval, and Q refers to the pth manual/mechanical interval. The total number of points the mechanical interval lasts.

Step 108: Output statistical information. This application can display statistical information on the display.

On the basis that the single pulse wave signal is accurately identified, the pulse wave processing method of the present application, another implementation manner thereof, includes the following steps:

Step 202: Establish a sliding time window, comprehensively investigate the pulse wave state in the window, and the time of the sliding time window can be set according to the actual situation, and the default setting of this application is 10S; as shown in D (ie, Slip Window) in FIG. 2 .

Step 204: Determine the pulse wave state in the sliding time window, and perform other new operations according to the recognized state. From the perspective of response speed and stability, this application measures >=3 pulse wave characteristics by default, and decides whether it is in the continuous state of manual/mechanical compression or the intermittent state of manual/mechanical compression. As shown in the figure, in the A (ie CPR Duration 1) state and the C (ie CPR Duration 2) state, through the analysis of >= 3 pulse wave characteristics, if it is identified as a manual/mechanical compression pulse wave, the pulse wave will not be activated. Timing statistics for dead time.

Step 206: When the sampling signal enters a pulseless state, the pulse wave extinction time timer is started. The time count is accumulated according to the number of sampling points, and the sampling rate of each cycle is 1S. The final performance is the timing of seconds between manual/mechanical compression intervals. In the B (ie Interval Without CPR) section in the figure, the position of the label "1" is shown. Start the CPR interval timer from this location and provide this information to the client. At the end of the manual/mechanical compression interval, that is, when the compression waveform appears again, the CPR interval timer display function stops and is reset to zero.

In practical applications, as mentioned above, based on the principle of measuring >=3 pulse wave characteristics, when entering the pulseless state, it will continue to measure whether the data with >=3 pulse wave lengths is pulseless data, so as to identify Based on the results, determine whether to enter the manual/mechanical compression interval. This means that there is a hysteresis characteristic of the manual/mechanical compression interval time timing display function. In the same way, when entering the manual/mechanical compression stage from the manual/mechanical compression interval, affected by the pulse wave recognition and judgment, the manual/mechanical compression interval time timing display function will continue to exist for a period of time. The timing display function will be turned off and reset to zero. As shown in FIG. 2 , the timing display for counting the time of manual/mechanical pressing will not appear at the position marked “1”, but will appear at the position marked “2”. Similarly, when entering the C stage, the CPR interval timer display will last for >= 3 pulses before it is turned off and reset to zero.

The hysteresis characteristic of the manual/mechanical compression interval timing display function depends on the width of the identified pulse wave, that is, the pulse rate. The higher the pulse rate, the shorter the recognition time, and the longer the recognition time. The default analysis of this application is >= 3 pulse waves, and the range of physiological pulse waves is [20-300] BPM (corresponding to pulse frequency [0.33-5] Hz), it can be seen that the application is in the identification of manual/mechanical compression interval time The response speed is 9S～0.6S;

3Pulse refers to analyzing at least 3 pulse cycles, and [0.33Hz to 5Hz] refers to the frequency covered by the identifiable pulse width.

According to the CPR guidelines, the compression frequency must satisfy >=100 times/min. With the above formula, the calculation shows that the compression waveform state can be recognized in about 1.64S. Therefore, in clinical application, the typical response time of the manual/mechanical compression intermittent time in this application is 1.64S, which can meet the requirement of being particularly sensitive to time in clinical practice, improve the accuracy of doctor's treatment, and increase the survival probability of patients.

Step 208: If the pulse wave extinction time exceeds the threshold, an alarm is issued. Numerous studies have shown that when the CPR interval exceeds 10S, there is an impact on the patient's physiology. Therefore, the pulse wave extinction time statistics function of the present application sets a time threshold of 10S. If the timing time is more than 10S, an alarm message will be given.

的概念，用以反映该特征。计算公式如下：Step 210: Calculate the total proportion of the pulse wave extinction time, which corresponds to the total proportion of the CPR intermittent time. According to the guidelines, when the intermittent time accounts for more than 20% of the total manual/mechanical compression rescue time, the patient may be ineffective in rescue. This application establishes the total time ratio of CPR intermittent time

concept to reflect this feature. Calculated as follows:

是人工/机械按压过程的采样点累积统计；

是针对人工/机械按压过程中出现CPR间歇期的采样点数据累积统计；其中p＝1,2,3,……P，p指第p次发生CPR间歇期；P指在N点长度的人工/机械按压过程中发生的CPR间歇期的总次数；q＝1,2,3,……Q，q指第p次CPR间歇期中的第q点，Q指第p次CPR间歇期所持续的总点数。

It is the cumulative statistics of sampling points in the manual/mechanical compression process;

It is the cumulative statistics of the sampling point data for the CPR intermittent period during the manual/mechanical compression process; where p=1, 2, 3, ... P, p refers to the p-th CPR intermittent period; P refers to the artificial /Total number of CPR intervals that occurred during mechanical compression; q=1,2,3,... total points.

参数中，由于分子和分母同时需要转换为时间，而两者采样率一致，因此在该公式中，采样率因子被消除，

与时间实质等同，它反映了CPR间歇时间在总人工/机械按压时间的占比率。It can be seen from the foregoing that there is a corresponding relationship between the sampling rate and time.

In the parameters, since the numerator and denominator need to be converted into time at the same time, and the sampling rates of the two are the same, in this formula, the sampling rate factor is eliminated,

Essentially equivalent to time, it reflects the ratio of CPR interval time to total manual/mechanical compression time.

参数可以实时动态更新。即在人工/机械按压抢救过程中，血氧系统每采集到一个采样点，即纳入

统计中；同时根据前述判断逻辑，识别该采样点是否纳入

统计中。从而，每个采样点，CPR总占时比都会刷新。本申请默认按照采样率刷新，即1S中刷新一次结果。如图“CPR Interval Ratio”所示，随着人工/机械按压启动，

就会出现在显示界面中。In practical applications,

Parameters can be dynamically updated in real time. That is, in the process of manual/mechanical compression rescue, every time the blood oxygen system collects a sampling point, it is included in the

Statistics; at the same time, according to the aforementioned judgment logic, identify whether the sampling point is included in the

Statistics. Therefore, at each sampling point, the total CPR time ratio is refreshed. The application is refreshed according to the sampling rate by default, that is, the result is refreshed once in 1S. As shown in Figure "CPR Interval Ratio", as manual/mechanical compressions are activated,

will appear in the display interface.

显示也存在时间滞后性，即图中显示的3和4位置。理论为3位置，实际为4位置。该滞后的典型时间为1.64S。It can be seen from the foregoing that in the identification process, it is necessary to identify >=3 pulse wave cycle lengths to determine whether it is a pressing state or an intermittent state, so

There is also a time lag in the display, the 3 and 4 positions shown in the figure. The theory is 3 positions, the actual 4 positions. The typical time for this lag is 1.64S.

The total time ratio of the CPR interval time accompanies the entire cycle of manual/mechanical compression, and the display of the total time ratio of the CPR interval time will not stop until the manual/mechanical compression state is reset. Therefore, there are two mechanisms to reset the CPR interval fraction: 1. Spontaneous rhythm recovery is recognized during manual/mechanical compressions; 2. An externally triggered reset mechanism (eg, the monitor's reset button).

Step 210: Output statistical information. Statistical information can be output through the display, such as the display of the pulse wave dead time and/or the total pulse wave dead time ratio.

The above method is a feature detection based on the time-domain pulse wave recognition method. Since there are energy conservation features in the time domain and spectrum, the detection and identification of the above features can also be realized based on the frequency domain method. The frequency domain analysis method depends on the length of the analyzed data. If the data is too long, the characteristics reflecting the changing trend of physiological signals will become slower, and if the data is too short, the frequency domain analysis will be invalid due to insufficient precision. In this application, combined with the clinical application scenario, the frequency domain data analysis length is set to 4S, that is, the data length of each frequency domain analysis is 4S. In order to quickly track the changes of physiological signals, the frequency domain analysis was set to start once at 0.5S.

The width and amplitude characteristics of the pulse wave in the time domain can be quantified as the amplitude and width of the spectral peaks in the frequency domain signal. Therefore, the present application can use the amplitude or area parameter of the spectral peak to measure the manual/mechanical compression interval period and the ratio of the manual/mechanical compression interval time. When the CPR interval occurs, with the analysis every 0.5S, the amplitude or area of the spectral peak will appear gradually attenuated. Therefore, an amplitude or area threshold line can be established to detect whether the spectrum peak amplitude or area is lower than the threshold line for 4 times (ie 2S). pressed state.

The same principle as the time domain analysis method, there is a display time lag in the intermittent period of manual/mechanical compression, which depends on the interval time of the frequency domain analysis and the number of analyses. In this application, the frequency domain analysis interval is 0.5S, and the analysis is performed 4 times, so the typical lag time is 2S. The minimum resolution of the CPR interval is constrained by the frequency domain analysis interval, which is 0.5S. When the manual/mechanical pressing intermittent state is recognized, the time timing display of the manual/mechanical pressing intermittent period is activated. When the manual/mechanical pressing intermittent state is recognized, the manual/mechanical pressing intermittent period time timing function is turned off. The same principle as the time domain analysis method, in the process of manual/mechanical compression, the ratio of manual/mechanical compression interval time (that is, the total percentage of CPR interval time described above) starts timing statistics. Every 0.5S frequency domain analysis, the total time is accumulated, and at the same time, it is judged whether it is a CPR intermittent period, and the CPR intermittent period time is accumulated. The ratio of CPR interval time = = CPR interval time/total time period*100%. The minimum resolution of the CPR interval ratio is constrained by the frequency domain analysis interval, which is 0.5S. Its startup and reset mechanism is exactly the same as that described in the time domain section.

Embodiment 2:

As shown in FIG. 3 , an embodiment of the pulse wave processing device of the present application includes: an analog-to-digital conversion unit for processing a measured signal, and the measured signal reflects the real-time pulse characteristics of the measured person; a digital signal The processing unit is used to identify the pulse wave according to the processing result, and count the period of the pulse wave stop according to the recognition result; the output unit is used to output the statistical information.

The analog-to-digital conversion unit is also used for identifying the fluctuation component and the constant component from the measured signal, and the digital signal processing unit is also used for identifying the pulse wave based on the fluctuation component.

In one embodiment, the digital signal processing unit is further configured to count the duration of the pulse wave extinction time.

In another embodiment, the digital signal processing unit is further configured to count the total duty ratio of the pulse wave extinction time, and the total duration of the pulse wave extinction time is the ratio of the accumulated duration of the pulse wave extinction period to the duration of the cardiopulmonary resuscitation operation .

In another embodiment, the digital signal processing unit is further configured to preset the first threshold and the second threshold, and output alarm prompt information when the duration of the pulse wave extinction period is greater than the first threshold; and/or when the pulse wave stops When the total time ratio of the stoppage time is greater than the second threshold, an alarm prompt message is output.

In one embodiment, the digital signal processing unit specifically calculates the total time ratio of the pressing interval time by the following formula:

为人工/机械按压过程的采样点累积统计；

为人工/机械按压过程中出现人工/机械间歇期的采样点数据累积统计；其中p＝1,2,3,……P，p指第p次人工/机械间歇期；P指在N点长度的人工/机械按压过程中发生的人工/机械间歇期的总次数；q＝1,2,3,……Q，q为第p次CPR间歇期中的第q点，Q指第p次人工/机械间歇期所持续的总点数。in,

Cumulative statistics for the sampling points of the manual/mechanical compression process;

It is the cumulative statistics of the sampling point data of the manual/mechanical interval during the manual/mechanical compression process; where p=1,2,3,...P, p refers to the p-th manual/mechanical interval; P refers to the length at point N The total number of manual/mechanical intervals occurred during the manual/mechanical compression; q=1,2,3,...Q, q is the qth point in the pth CPR interval, and Q refers to the pth manual/mechanical interval. The total number of points the mechanical interval lasts.

The digital signal processing unit can also be used to obtain multiple single pulse waves, and identify the period during which the pulse waves are stopped through the changes of the multiple single pulse waves. In a specific embodiment, the digital signal processing unit is further configured to take at least 3 cycles of continuous single pulse waves, and identify the pulse wave discontinuation through the change of the area value of the single pulse wave or the change of the single pulse wave waveform. period.

The digital signal processing unit can also be used to preset a threshold value; when the pressing interval time is greater than the threshold value, output alarm prompt information. The threshold can be set as required, and in this embodiment, the threshold can be set to 10S.

Embodiment three:

The medical device of the present application, an embodiment thereof, includes:

A light-emitting receiver, which includes a light-emitting tube and a receiving tube, the light-emitting tube emits at least one light signal for passing through human tissue, the receiving tube receives at least one light signal passing through the human tissue, and converts it into at least one light signal an electrical signal; a digital processor for converting the electrical signal into a digital signal, and for processing the digital signal, identifying the pulse wave according to the processing result, and performing statistics on the period during which the pulse wave stops; an output module, which uses for output statistics.

In one embodiment, the digital processor identifies the pulse wave by identifying real-time pulse characteristics reflected in the digital signal.

The digital processor can also obtain the real-time pulse characteristics reflected by the digital signal by identifying the fluctuation component and the constant component of the digital signal.

In one embodiment, the statistical information includes the duration of the pulse wave stop period, and the output module may include a display interface for displaying the duration of the pulse wave stop period. In another embodiment, the statistical information further includes the total time-consuming ratio of the pulse wave extinction time, and the total time-consuming ratio of the pulse wave extinction time is the ratio of the cumulative duration of the pulse wave extinction period to the cardiopulmonary resuscitation operation duration, and the display interface also It is used to display the total time ratio of the pulse wave extinction time. The digital processor is also used to preset the first threshold and the second threshold, and when the duration of the pulse wave extinction period is greater than the first threshold, output alarm prompt information; and/or when the total time ratio of the pulse wave extinction time is greater than all When the second threshold value is mentioned, the alarm prompt information is output.

The above content is a further detailed description of the present application in conjunction with specific embodiments, and it cannot be considered that the specific implementation of the present application is limited to these descriptions. For those of ordinary skill in the technical field to which the present application pertains, some simple deductions or substitutions can also be made without departing from the concept of the present application.

Claims (23)

1. A method of monitoring cardiopulmonary resuscitation compression interruption time, comprising:

processing a detected signal, wherein the detected signal reflects the real-time pulse characteristic of a detected person in a state without autonomous circulation;

performing pulse wave identification according to the processing result;

identifying a pulse wave fluctuation period according to the change of the pulse wave, wherein the pulse wave fluctuation period is a period of pulse wave disappearance caused by the stop of chest compression;

counting the pulse wave fluctuation period;

and outputting the statistical information.

2. The method of claim 1, wherein the processing the measured signal comprises:

identifying a fluctuation component and a constant component from a detected signal;

the pulse wave recognition according to the processing result comprises the following steps:

a pulse wave is identified based on the wave component.

3. The method of claim 2, wherein the identifying the pulse wave based on the fluctuation component comprises identifying the pulse wave by a magnitude and a width of the pulse.

4. The method of claim 1, wherein said counting pulse wave pause periods comprises:

and counting the accumulated duration of the pulse wave stopping period.

5. The method of claim 4, wherein said counting pulse wave pause periods further comprises:

and counting the total time ratio of the pulse wave stopping time, wherein the total time ratio of the pulse wave stopping time is the ratio of the accumulated time length of the pulse wave stopping period to the cardio-pulmonary resuscitation operation time length.

6. The method of claim 5, wherein the counting of the pulse wave pause periods according to the recognition result further comprises:

presetting a first threshold and a second threshold;

when the duration of the pulse wave stopping period is greater than the first threshold value, outputting alarm prompt information;

and/or when the total time-to-hour ratio of the pulse wave extinction time is larger than the second threshold value, outputting alarm prompt information.

7. The method of claim 1, wherein the performing pulse wave identification comprises:

and taking a plurality of single pulse waves, and identifying the period of the pulse wave extinction through the change of the single pulse waves.

8. The method according to claim 7, wherein said taking a plurality of single pulse waves and identifying the pulse wave pause period by the variation of the plurality of single pulse waves comprises:

and at least taking continuous single pulse waves of 3 periods, and identifying the pulse wave pause period through the change of the area value of the single pulse wave or the change of the waveform of the single pulse wave.

9. The method of claim 1, wherein the period of pulse wave cessation is a manual/mechanical compression pause.

10. The method according to claim 1, wherein the processing of the measured signal is performed by time domain calculation and/or frequency domain calculation.

11. A device for monitoring the time to interruption of cardiopulmonary resuscitation compression, comprising:

the analog-to-digital conversion unit is used for processing a detected signal, and the detected signal reflects the real-time pulse characteristic of a detected person in a state without autonomous circulation;

a digital signal processing unit for performing pulse wave recognition according to the processing result and recognizing a pulse wave fluctuation period according to the change of the pulse wave, wherein the pulse wave fluctuation period is a period of pulse wave fluctuation caused by the chest compression stop, and the pulse wave fluctuation period is counted;

and the output unit is used for outputting the statistical information.

12. The apparatus of claim 11, wherein the analog-to-digital conversion unit is further configured to identify a fluctuation component and a constant component from the measured signal, and the digital signal processing unit is further configured to identify the pulse wave based on the fluctuation component.

13. The apparatus of claim 11, wherein the digital signal processing unit is further configured to count accumulated durations of the pulse wave pause periods.

14. The apparatus of claim 13, wherein the digital signal processing unit is further configured to count a total time fraction of the pulse wave pause time, the total time fraction of the pulse wave pause time being a ratio of a cumulative duration of the pulse wave pause period to a duration of the cardiopulmonary resuscitation operation.

15. The apparatus of claim 14, wherein the digital signal processing unit is further configured to preset a first threshold and a second threshold, and output an alarm prompt message when the duration of the pulse wave pause period is greater than the first threshold; and/or when the total time-occupying ratio of the pulse wave extinction time is larger than the second threshold value, outputting alarm prompt information.

16. The apparatus of claim 15, wherein the digital signal processing unit is further configured to take a plurality of single pulse waves, and identify the pulse wave pause period by a change of the plurality of single pulse waves.

17. The apparatus according to claim 16, wherein the digital signal processing unit is further configured to take at least 3 cycles of continuous single pulse waves, and identify the pulse wave pause period by the change of the single pulse wave area value or the change of the single pulse wave waveform.

18. A medical device, comprising:

the light emitting receiver comprises a light emitting tube and a receiving tube, wherein the light emitting tube emits at least one path of optical signal for penetrating through human tissues, and the receiving tube receives the at least one path of optical signal for penetrating through the human tissues and converts the at least one path of optical signal into at least one path of electric signal;

a digital processor for converting the electrical signal into a digital signal, processing the digital signal, performing pulse wave recognition according to a processing result, recognizing a pulse wave fluctuation period according to a change of the pulse wave, wherein the pulse wave fluctuation period is a period of pulse wave fluctuation caused by the chest compression stop, and counting the pulse wave fluctuation period;

and the output module is used for outputting the statistical information.

19. The medical device of claim 18, wherein the digital processor identifies pulse waves by identifying real-time pulse characteristics reflected by the digital signals.

20. The medical device of claim 19, wherein the digital processor derives real-time pulse characteristics reflected by the digital signal by identifying fluctuating and constant components of the digital signal.

21. The medical device of claim 18, wherein the statistical information includes an accumulated duration of pulse wave pauses; the output module comprises a display interface, and the display interface is used for displaying the accumulated duration of the pulse wave pause period.

22. The medical device of claim 21, wherein the statistical information further includes a total time to pulse wave cessation ratio of a cumulative duration of pulse wave cessation to a duration of cardiopulmonary resuscitation operations; the display interface is also used for displaying the total time-occupying ratio of the pulse wave extinction time.

23. The medical device of claim 22, wherein the digital processor is further configured to preset a first threshold and a second threshold, and to output an alarm prompt when the duration of the pulse wave pause period is greater than the first threshold; and/or when the total time-occupying ratio of the pulse wave extinction time is larger than the second threshold value, outputting alarm prompt information.

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