KR102531055B1 - Living space monitoring system based on bio-signal measurement - Google Patents

Abstract

A living space monitoring system based on measuring biosignals according to an embodiment of the present invention includes a sensor unit installed in a living space and sensing a biosignal of each person in the living space; a signal analyzer configured to analyze the bio-signal detected by the sensor unit and generate change trend information of the bio-signal; and an alarm alarm unit for alerting a facility manager terminal of a risk associated with the health condition of each person by using the change trend information generated by the signal analysis unit.

Description

Living space monitoring system based on bio-signal measurement {LIVING SPACE MONITORING SYSTEM BASED ON BIO-SIGNAL MEASUREMENT}

Embodiments of the present invention relate to bio-signal measurement technology, and more particularly, to a living space monitoring system and method based on bio-signal measurement. In particular, the present invention can be applied to monitoring vital signals of prisoners in a living space of a correctional facility or monitoring vital signals of elderly people in a living space of an elderly care facility.

Recently, outdoor leisure activities such as mountain climbing are increasing due to the increase in leisure due to social changes such as shortened working hours and aging population. Due to population aging and lifestyle factors, chronic diseases are continuously increasing, and many middle-aged and elderly people manage their health through leisure activities such as mountain climbing using their leisure time.

During leisure activities such as mountain climbing in the mountains or outdoors to maintain or improve health, if you are in danger due to a sudden change in your body, or if you are in danger or have an accident due to a fall, fall, or distress, etc. It is increasing. In addition, as the number of economically independent elderly increases, silver tourism is activated, and the proportion of tourism products centered on the elderly is increasing. It is also growing rapidly.

As such, it can be seen that the risk of accidents due to rapid changes in the body always exists when the elderly, chronically ill, physically weak, etc. enjoy outdoor leisure, tourism, or travel. In addition, when a sudden physical abnormality occurs to prisoners confined to correctional facilities such as prisons or detention centers, to places where they cannot get help from their surroundings during daily life, or to chronically ill patients and elderly people living alone, they cannot receive prompt action and cause death. There are frequent cases of worsening complications due to early detection or failure to take action.

Therefore, in order to diagnose and manage various diseases, a process of measuring and analyzing bio-signals is required. However, general bio-signal measuring devices are provided in specialized medical facilities such as hospitals, and it is inconvenient to visit a hospital to diagnose a disease. In addition, in this case, it is difficult to continuously monitor vital signs.

Related prior art is Republic of Korea Patent Publication No. 10-2011-0109603 (title of invention: bio-signal measuring device, safety monitoring system and safety monitoring and health management service method using the same, publication date: 2011.10.06.) .

An embodiment of the present invention installs non-contact sensors in a plurality of partitioned rooms in the living space, measures the biosignal of each person in the living space, stores it, compares the stored data with the current biosignal, and determines the degree of change. To provide a living space monitoring system and method based on bio-signal measurement that can inform health risks according to the present invention.

The problem to be solved by the present invention is not limited to the above-mentioned problem (s), and another problem (s) not mentioned will be clearly understood by those skilled in the art from the following description.

A living space monitoring system based on measuring biosignals according to an embodiment of the present invention includes a sensor unit installed in a living space and sensing a biosignal of each person in the living space; a signal analyzer configured to analyze the bio-signal detected by the sensor unit and generate change trend information of the bio-signal; and an alarm alarm unit for alerting a facility manager terminal of a risk associated with the health condition of each person by using the change trend information generated by the signal analysis unit.

The living space monitoring system based on biosignal measurement according to an embodiment of the present invention may further include a sensor setting unit configured to set a reference value (nFactor) for distinguishing the biosignal from noise in the sensor unit.

After the sensor setting unit obtains basic data for empty rooms in the living space, obtains an average value for the basic data, obtains a half value for the number of the basic data, and obtains a minimum value of the basic data, , the nFactor may be set using the average value, the half value, and the minimum value.

The sensor setting unit may set the nFactor to a value calculated by applying the average value, the half value, and the minimum value to Equation 1 below.

[Equation 1]

nFactor = Max(average value, half value) + Min(average value, half value) - minimum value

When the difference between the average value and the half value is greater than a preset value, the alarm warning unit determines that the probability of occurrence of a ghost corresponding to the noise is high, and generates a notification to inform the nFactor to be set again. and transmit it to the facility manager terminal.

The living space monitoring system based on measurement of biosignals according to an embodiment of the present invention may further include a signal conversion unit that converts the biosignals sensed by the sensor unit into a frequency detection method.

The signal conversion unit extracts time-domain waveform data from the sensing signal sensed by the sensor unit, and transforms the extracted time-domain waveform data into a frequency-domain waveform through a Fourier transform. data, and the biosignal may be generated by extracting a feature vector from the waveform data in the frequency domain.

The sensor unit includes a radar sensor for measuring at least one of heart rate, respiration rate, movement, and blood pressure of each person using a radar principle, and the heart rate, the respiration rate, the movement, and the At least one of blood pressure may be detected as the biosignal.

The sensor unit further includes a thermal image sensor for measuring the body temperature of each of the people, recognizing the existence of each of the people through a change in the body temperature of each of the people measured by the thermal image sensor, and The bio-signal can be sensed only when it is recognized as being present.

Living space monitoring method based on biosignal measurement according to an embodiment of the present invention includes the steps of detecting biosignals of each person in the living space by a sensor installed in the living space; generating change trend information of the biosignal by a signal analysis unit by analyzing the biosignal sensed by the sensor unit; and alerting, by an alarm warning unit, a risk associated with the health status of each person to a facility manager terminal by using the change trend information generated by the signal analysis unit.

Details of other embodiments are included in the detailed description and accompanying drawings.

According to an embodiment of the present invention, non-contact sensors are installed in each of a plurality of divided rooms in the living space to measure and store the bio-signals of each person, compare the stored data with the current bio-signals, and measure health according to the degree of change. It can tell you the danger of the condition.

According to an embodiment of the present invention, an error in which a ghost corresponding to noise or an undetected error of a measurement target is detected through automatic tuning setting of a radar sensor is improved to measure the biological signal measurement efficiency of each person in a living space. can improve

1 is a block diagram illustrating a living space monitoring system based on bio-signal measurement according to an embodiment of the present invention.
2 is a diagram showing an example of a sensor unit according to an embodiment of the present invention.
3 is a diagram showing another example of a sensor unit according to an embodiment of the present invention.
4 is a waveform diagram illustrating a method of setting a reference value (nFactor) for distinguishing a biological signal from noise in a sensor unit according to an embodiment of the present invention.
5 to 7 are flowcharts illustrating a living space monitoring method based on bio-signal measurement according to an embodiment of the present invention.

Advantages and/or features of the present invention, and methods of achieving them, will become apparent with reference to the following detailed description of the embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various forms different from each other, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

In addition, preferred embodiments of the present invention to be carried out below are provided in each system functional configuration in order to efficiently explain the technical components constituting the present invention, or system functions commonly provided in the technical field to which the present invention belongs. The configuration is omitted as much as possible, and the functional configuration that should be additionally provided for the present invention will be mainly described. If one of ordinary skill in the art to which the present invention pertains, one will be able to easily understand the functions of conventionally used components among the omitted functional configurations not shown below, and also the omitted configurations as described above. The relationship between elements and components added for the present invention will also be clearly understood.

In addition, in the following description, "transmission", "communication", "transmission", "reception" and other similar terms of signals or information refer to direct transmission of signals or information from one component to another. as well as passing through other components. In particular, "transmitting" or "transmitting" a signal or information as a component indicates the final destination of the signal or information, and does not mean a direct destination. The same is true for "reception" of signals or information.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a living space monitoring system based on bio-signal measurement according to an embodiment of the present invention.

Referring to FIG. 1 , a living space monitoring system 100 based on bio-signal measurement according to an embodiment of the present invention includes a sensor unit 110, a sensor setting unit 120, a signal conversion unit 130, and a signal analysis unit. 140, an alarm warning unit 150, and a control unit 160 may be configured. For reference, in one embodiment of the present invention, the living space may include all of various living spaces such as a correctional facility, a shelter for the elderly, and a house. However, in the present embodiment, the living space will be described by limiting it to the correctional facility. It is natural that this is only for convenience and easy understanding of description and is not intended to limit the scope of the present invention.

The sensor unit 110 is installed in a correctional facility and can detect biosignals of each of the prisoners accommodated in the correctional facility. At this time, the sensor unit 110 may be installed in each of a plurality of partitioned spaces (rooms) within the correctional facility, and may be installed to correspond to each of the accommodated prisoners.

As shown in FIG. 2 , the sensor unit 110 may include a radar sensor 111 that measures the heart rate, breathing rate, movement, blood pressure, etc. of each of the recipients using the radar principle. The sensor unit 110 may detect the heart rate, respiratory rate, movement, blood pressure, etc. measured by the radar sensor 111 as the biosignal.

As shown in FIG. 3 , the sensor unit 110 may further include a thermal image sensor 112 for measuring the body temperature of each of the prisoners. Here, the thermal image sensor 112 may be included in the radar sensor 111 . However, it is not limited thereto, and the thermal image sensor 112 may be provided separately from the radar sensor 111 .

The sensor unit 110 recognizes the existence of each of the inmates through the change in body temperature of each of the inmates measured by the thermal image sensor 112, and determines that each of the inmates exists in the correctional facility. The bio-signal can be sensed only when it is recognized.

That is, the sensor unit 110 may recognize whether or not each of the prisoners is in the correctional facility through the thermal image sensor 112, and only when each of the prisoners is in the correctional facility, the radar The biosignal may be sensed by operating the sensor 111 . Accordingly, according to an embodiment of the present invention, power consumption may be reduced by reducing the load of the radar sensor 111 .

Meanwhile, the sensor unit 110 may further include a camera (not shown) for taking pictures of each of the prisoners accommodated in the correctional facility in real time. The sensor unit 110 may output a real-time image captured by the camera together when monitoring the biosignal.

The sensor setting unit 120 may set a reference value (nFactor) for distinguishing the biological signal from the noise in the sensor unit 110 . The radar sensor 111 included in the sensor unit 110 can detect a ghost other than the object to be measured in that method.

This causes a phenomenon that sometimes appears as if there are no people (prisoners) in an empty room in the correctional facility, or is not detected even when there are people. Therefore, in one embodiment of the present invention, the radar sensor 111 to which an algorithm is added through the sensor setting unit 120 may be provided in order to compensate for such an undetected phenomenon.

To this end, referring to FIG. 4 , the sensor setting unit 120 first obtains basic data about an empty room in the correctional facility. Then, the sensor setting unit 120 obtains an average value for the basic data. And, the sensor setting unit 120 obtains a half value for the number of the basic data. Then, the sensor setting unit 120 obtains the minimum value of the basic data.

The sensor setting unit 120 may set the nFactor using the average value, the half value, and the minimum value calculated through the above process. Specifically, the sensor setting unit 120 may set the nFactor to a value calculated by applying the average value, the half value, and the minimum value to Equation 1 below.

[Equation 1]

nFactor = Max(average value, half value) + Min(average value, half value) - minimum value

Here, the half value represents a value in which the number of input signals can be divided into 50:50, and the average value represents the average value of all input signals. As mentioned above, Equation 1 may be used for automatic tuning (algorithm addition) after installing the radar sensor 111.

The signal conversion unit 130 may convert the biosignal sensed by the sensor unit 110 into a frequency detection method. This is because it is easier to measure a biosignal using a frequency detection method than measuring a biosignal using a waveform detection method.

Therefore, in one embodiment of the present invention, the biosignal of the waveform detection method is converted into the biosignal of the frequency detection method by using the signal conversion unit 130 so that the biosignal of each recipient can be measured by the frequency detection method. can be converted into signals.

That is, the signal conversion unit 130 extracts time-domain waveform data from the sensing signal sensed by the sensor unit 110, and converts the extracted time-domain waveform data through Fourier transform. It can be converted into waveform data in the frequency-domain.

The signal converter 130 may extract a feature vector from the waveform data in the frequency domain. To this end, the signal conversion unit 130 may extract the feature vector by removing low frequency band signals and passing only high frequency band signals through a high pass filter (HPF). Also, the signal conversion unit 130 may generate the bio signal of the frequency detection method using the extracted feature vector.

For example, in the case of measuring the heart rate of an inmate in a specific room in the correctional facility, a method of converting the biosignal of the inmate to the frequency detection method will be described in detail as follows.

First, the animal's heartbeat waveform is extracted through the radar sensor (refer to 111 in FIG. 2 ). Next, the extracted waveform data is a time-domain waveform and converted into a frequency-domain waveform. At this time, filtering may be performed as necessary. Theoretically transform through Fourier Transform.

The reason for converting to the frequency domain waveform is that it is easier to distinguish between noise and signal because the amplitude of the waveform in the frequency-domain is greater than the amplitude of the waveform in the time-domain. For reference, due to the characteristics of the radar sensor, the size of the heartbeat waveform is proportional to the size of the measurement target.

Next, the frequency is extracted as a heartbeat waveform in the frequency-domain. Then, the frequency obtained in this way is converted into the period of the waveform, and then the heart rate is calculated.

The signal analyzer 140 may generate change trend information of the biosignal by analyzing the biosignal detected by the sensor unit 110 . More specifically, the signal analyzer 140 may generate change trend information of the biosignal by analyzing the biosignal of the frequency detection method generated by the signal converter 130 .

For example, when the signal analyzer 140 measures the heart rate and respiration rate of each of the recipients through the sensor unit 110, the signal analysis unit 140 calculates the change value of each heart rate and respiration rate of each of the recipients by analyzing it. Based on the calculated change value, it is possible to generate change trend information of each heart rate and respiration rate of each of the recipients.

In addition, when the motion (motion) of each of the audience is measured through the sensor unit 110, the signal analyzer 140 analyzes it to calculate a motion change value of each of the audience, and calculates the calculated motion change. Based on the values, it is possible to generate change trend information about the motions of each of the recipients.

The alarm warning unit 150 calculates a risk index related to the health status of each of the prisoners using the change trend information generated by the signal analysis unit 140, and calculates the calculated risk index with a preset reference value. can be compared

As a result of the comparison, if the calculated risk index is greater than the preset reference value, the alarm alarm unit 150 will alert the facility manager terminal (facility manager's mobile terminal) of the risk associated with the health status of each of the prisoners through an alarm. can

When the alarm unit 150 issues an alarm of a risk related to the health status of each of the prisoners, the real-time image captured by the camera provided in the sensor unit 110 is sent to the facility manager terminal as necessary. can transmit

Meanwhile, when the difference between the average value and the half value in Equation 1 is greater than a preset value, the alarm unit 150 may determine that the occurrence probability of a ghost corresponding to the noise is high.

Accordingly, the alarm alarm unit 150 may generate a notification to inform the setting of the nFactor again, and transmit the generated notification to the facility manager terminal.

The control unit 160 is the living space monitoring system 100 based on bio-signal measurement according to an embodiment of the present invention, that is, the sensor unit 110, the sensor setting unit 120, and the signal conversion unit 130 , It is possible to control the overall operation of the signal analyzer 140, the alarm warning unit 150, and the like.

On the other hand, the living space monitoring system 100 based on biosignal measurement according to an embodiment of the present invention transfers the biosignal through a network connection with a monitoring terminal (not shown) installed in the correctional facility to create a database (DB) 610), it is possible to build big data related to biological signals, and provide a business model for animal health care related services through deep-learning based on the built big data. The business model may be provided to companies or institutions requiring health management services, such as veterinary hospitals, insurance companies, and research institutes.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

5 to 7 are flowcharts illustrating a living space monitoring method based on bio-signal measurement according to an embodiment of the present invention.

The method described here is only one embodiment of the present invention, and other than that, various steps may be added as follows, and the following steps may be performed by changing the order, so that the present invention follows It is not limited to each step described and its order.

Referring to FIGS. 1 and 5 , in step 510, the sensor setting unit 120 may set a reference value (nFactor) for distinguishing the biological signal from the noise in the sensor unit 110.

This will be described in detail with further reference to FIG. 6 . First, in step 610, the sensor setting unit 120 obtains basic data about an empty room in the correctional facility.

Then, in step 620, the sensor setting unit 120 obtains an average value for the basic data.

Then, in step 630, the sensor setting unit 120 obtains a half value for the number of basic data.

Then, in step 640, the sensor setting unit 120 obtains the minimum value of the basic data.

Then, in step 650, the sensor setting unit 120 may set the nFactor using the average value, the half value, and the minimum value.

Referring back to FIGS. 1 and 5 , in step 520, the sensor unit 110 may detect biosignals of each of the prisoners accommodated in the correctional facility. At this time, the sensor unit 110 is automatically tuned by the sensor setting unit 120, so that undetected and ghost errors can be improved.

Next, in step 530, the signal conversion unit 130 may convert the biosignal sensed by the sensor unit 110 into a frequency detection method.

This will be described in detail with further reference to FIG. 7 . First, in step 710, the signal conversion unit 130 may extract time-domain waveform data from the sensing signal sensed by the sensor unit 110.

Then, in step 720, the signal conversion unit 130 may transform the extracted time-domain waveform data into frequency-domain waveform data through Fourier transform.

Then, in step 730, the signal conversion unit 130 may generate the biosignal by extracting a feature vector from the waveform data in the frequency domain.

Referring back to FIGS. 1 and 5 , in step 540, the signal analyzer 140 analyzes the biosignal detected by the sensor unit 110 and generates change trend information of the biosignal. there is. In this case, the signal analyzer 140 may generate change trend information of the biosignal by analyzing the biosignal converted by the signal converter 130 using the frequency detection method.

Next, in step 550, the alarm alarm unit 150 uses the change trend information generated by the signal analysis unit 140 to inform the facility manager terminal of a risk related to the health status of each of the inmates. You can be alerted with an alarm.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CDROMs and DVDs, and magnetic-optical media such as floptical disks. Included are hardware devices specially configured to store and execute program instructions, such as magneto-optical media and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

110: sensor unit
111: radar sensor
112: thermal image sensor
120: sensor setting unit
130: signal converter
140: signal analysis unit
150: alarm warning unit
160: control unit

Claims (10)

a sensor unit installed in the living space and detecting bio signals of each person in the living space;
a signal analyzer configured to analyze the bio-signal detected by the sensor unit and generate change trend information of the bio-signal;
an alarm alarm unit for alerting a facility manager terminal of a risk related to the health status of each person by using the change trend information generated by the signal analyzer; and
A sensor setting unit configured to set a reference value (nFactor) for distinguishing the biological signal from the noise in the sensor unit.
including,
The sensor setting unit
After obtaining basic data for empty rooms in the living space, obtaining an average value for the basic data, obtaining a half value for the number of the basic data, and obtaining a minimum value of the basic data, the average value, Living space monitoring system based on bio-signal measurement, characterized in that for setting the nFactor using the half value and the minimum value.
delete delete According to claim 1,
The sensor setting unit
Living space monitoring system based on bio-signal measurement, characterized in that the nFactor is set to a value calculated by applying the average value, the half value, and the minimum value to Equation 1 below.
[Equation 1]
nFactor = Max(average value, half value) + Min(average value, half value) - minimum value
According to claim 1,
The alarm warning unit
If the difference between the average value and the half value is greater than a preset value, it is determined that the probability of occurrence of a ghost corresponding to the noise is high, and a notification is generated to notify the facility manager to re-set the nFactor. Living space monitoring system based on biosignal measurement, characterized in that transmitted to the terminal.
According to claim 1,
A signal conversion unit for converting the biosignal sensed by the sensor unit into a frequency detection method
Living space monitoring system based on bio-signal measurement, characterized in that it further comprises.
According to claim 6,
The signal converter
Extracting time-domain waveform data from the sensing signal sensed by the sensor unit, converting the extracted time-domain waveform data into frequency-domain waveform data through Fourier transform, , Living space monitoring system based on biosignal measurement, characterized in that for generating the biosignal by extracting a feature vector from the waveform data in the frequency domain.
According to claim 1,
The sensor part
A radar sensor for measuring at least one of the heart rate, breathing rate, movement, and blood pressure of each person using a radar principle, wherein at least one of the heart rate, the breathing rate, the movement, and the blood pressure measured by the radar sensor is included. A bio-signal measurement-based living space monitoring system, characterized in that for detecting one as the bio-signal.
According to claim 8,
The sensor part
Further comprising a thermal image sensor for measuring the body temperature of each of the people, recognizing the existence of each of the people through a change in the body temperature of each of the people measured by the thermal image sensor, and determining that each of the people exists. Living space monitoring system based on bio-signal measurement, characterized in that for detecting the bio-signal only when recognized.
delete

Images