JP7090350B2 - Biological monitoring system and its program - Google Patents

Description

The present invention relates to a biological monitoring system using wireless communication, and in particular, a biological monitoring system capable of remotely analyzing heart rate, respiratory rate, ventilation volume, etc. from one vibration data in biological data using an inexpensive biological wearing device. Regarding the program.

[Conventional technique]
In the conventional device for monitoring biological data, the device for acquiring biological data becomes complicated, and it is not possible to configure them at low cost, resulting in an increase in the cost of the entire monitoring system.

[Related technology]
As related prior art documents, Japanese Patent Application Laid-Open No. 04-028345 "Biological Monitoring Device" (Patent Document 1), Japanese Patent Application Laid-Open No. 05-095914 "Biological Information Processing Device and Its Monitoring Device" (Patent Document 2). Japanese Unexamined Patent Publication No. 2004-121360, "Biopotential Detection Device and Biometric Information System" (Patent Document 3).

Patent Document 1 describes that in a biological monitoring device, a piezoelectric element is installed in bedding, a specific frequency component is extracted, and heart rate, respiratory rate, and turning over are monitored.
Patent Document 2 describes a monitor device for managing inpatients in a hospital, which detects changes in the patient's heartbeat and respiration with a piezoelectric element installed in a band shape on a bed, converts them into electrical signals, and outputs them. Is described.

Patent Document 3 describes a disposable bioelectric potential pad for detecting a bioelectric potential in a bioelectric potential detecting device in consideration of hygiene and waterproofness for electrocardiographic measurement, and a bioelectric potential signal detected by the bioelectrode pad. It is described that it has a signal processing unit for processing.

Japanese Unexamined Patent Publication No. 04-028345 Japanese Unexamined Patent Publication No. 05-095914 Japanese Unexamined Patent Publication No. 2004-121360

However, the above-mentioned conventional monitoring system has a problem that it is difficult to reduce the cost of the entire system by making the device for acquiring biometric data inexpensive.

In addition, Patent Documents 1 to 3 describe that the heart rate, the respiratory rate, and the ventilation volume are estimated separately from one vibration data acquired from the biofitting device, and the whole system is constructed with the inexpensive biowearing device. There is no description.

The present invention has been made in view of the above circumstances, and the heart rate, the respiratory rate, and the ventilation volume are separated from the vibration data by a cloud server that transmits vibration data obtained from the piezoelectric element of the biological device and monitors and analyzes the vibration data. It is an object of the present invention to provide a biological monitoring system and a program thereof that can reduce the cost of the system by estimating and using an inexpensive biological wearing device.

The present invention for solving the problems of the above-mentioned conventional example is a biological monitoring system having a monitor analysis server that collects and analyzes vibration data from a biological wearing device, and vibration data input by the monitor analysis server. Is separated by frequency band, a specific amplitude change pattern is extracted from the separated vibration data, and the heart rate or respiration rate is estimated based on the number of times of the extracted amplitude change pattern . For vibration data below 100 Hz, an amplitude change pattern regarded as a heart rate is extracted, and if the number of times per minute of the amplitude change pattern is within a specific range, the number of times is set as the estimated heart rate, and if it falls below the specific range. The frequency is defined as a slow pulse heart rate, and when the frequency exceeds a specific range, the frequency is defined as a tachycardia heart rate .

In the present invention, in the biological monitoring system, the monitor analysis server extracts an amplitude change pattern regarded as respiration for vibration data in which the separated band is 100 Hz or more and less than 1000 Hz, and the number of times of the amplitude change pattern per minute is If it is within a specific range, the number of breaths is the estimated respiratory rate, if it is below the specific range, the number of breaths is the slow breathing rate, and if it exceeds the specific range, the number of breaths is the hyperbreathing rate.

In the present invention, in the biological monitoring system, the monitor analysis server estimates the ventilation volume at one time from the respiratory rate, the duration of the respiratory waveform, and the length of the waveform interval, and the respiratory waveform cannot be measured and the respiratory waveform can be measured. The section of the snorting waveform is defined as the section of the squirming waveform, and when there is a snarling waveform and there is no respiratory waveform, the section of the squirming waveform is defined as the abstinence time.

According to the present invention, in the biological monitoring system, the biological wearing device detects vibration and transmits the converted electric signal as vibration data to a monitor analysis server and a sensor unit having a piezoelectric element that converts the vibration signal into an electric signal. It is characterized by having a mechanical unit having a communication unit and a mechanical unit.

The present invention is a program that operates on a monitor analysis server that collects and analyzes vibration data from a biofit device. The monitor analysis server separates the input vibration data in the frequency band, and the separated vibration data. A specific amplitude change pattern is extracted from the body, and the heart rate or respiratory rate is estimated based on the number of times of the extracted amplitude change pattern . Vibration data in which the separated band is less than 100 Hz is regarded as a heart rate. An amplitude change pattern is extracted, and if the number of times per minute of the amplitude change pattern is within a specific range, the number of times is regarded as an estimated heart rate, and if the number of times falls below a specific range, the number of times is regarded as a slow pulse heart rate. It is characterized in that when the range is exceeded, the frequency is made to function as a tachycardia heart rate .

In the above program, in the above program, the monitor analysis server extracts an amplitude change pattern regarded as respiration for vibration data in which the separated band is 100 Hz or more and less than 1000 Hz, and the number of times of the amplitude change pattern per minute is specified. If it is within the range, the number of breaths is set as the estimated respiratory rate, if it falls below a specific range, the number of breaths is set as the slow breathing rate, and if it exceeds the specific range, the number of breaths is set as the hyperventilation rate. ..
Further, in the above program, in the above program, the monitor analysis server estimates the one-time ventilation volume from the respiration rate, the duration of the respiration waveform, and the length of the waveform interval, and the respiration waveform cannot be measured and the respiration waveform can be measured. Is a section of the snoring waveform, and when there is a snoring waveform and there is no breathing waveform, the section of the snoring waveform is made to function as an absorptive time .

According to the present invention, the monitor analysis server separates the input vibration data by the frequency band, extracts a specific amplitude change pattern from the separated vibration data, and based on the number of times of the extracted amplitude change pattern. It estimates the heart rate or respiratory rate . For vibration data whose separated band is less than 100 Hz, an amplitude change pattern regarded as a heart rate is extracted, and the number of times per minute of the amplitude change pattern is within a specific range. If there is, the biological monitoring system uses the estimated heart rate as the estimated heart rate, the bradycardia heart rate when it falls below a specific range, and the tachycardia heart rate when it exceeds the specific range . Since the heart rate and respiratory rate can be estimated from the vibration data, there is an effect that the entire system can be constructed at low cost.

It is a schematic diagram of this system. It is a block diagram of the structure of a living body wearing device. It is a flow chart of vibration data analysis processing. It is a flow chart of a heart rate estimation process. It is a flow chart of a respiratory rate estimation process. It is a schematic diagram which shows the display screen example of a monitor terminal.

An embodiment of the present invention will be described with reference to the drawings.
[Outline of Embodiment]
The biological monitoring system (the present system) according to the embodiment of the present invention has two types of vibration data detected by the piezoelectric element of the biological wearing device, Bluetooth (registered trademark: BT) or 5G (5th generation mobile communication system). Wireless communication is performed with a cloud server that performs monitor analysis processing using a communication method, the communicated vibration data is separated by the frequency band, a specific amplitude change pattern is extracted from the separated vibration data, and the extracted amplitude change. Based on the number of patterns, the heart rate and breath rate are estimated, the respiratory arrest period is measured, and the estimated ventilation volume is calculated. Since the heart rate and breath rate can be estimated from one vibration data, the system The whole can be constructed at low cost, and biological monitor data can be analyzed by remote measurement in a wide range of fields such as medical sites, patient homes, work environments, livestock, and security, and can be used for various purposes.

[This system: Fig. 1]
This system will be described with reference to FIG. FIG. 1 is a schematic diagram of this system.
As shown in FIG. 1, this system is described as a monitor analysis server 1, a biological database (DB) 2, a network 3, a monitor terminal 4, and biological mounters 5a and 5b (simply referred to as "biological mounter 5"). The base station 6 and the relay terminal 7 are provided.

The monitor analysis server 1, the monitor terminal 4, the base station 6, and the relay terminal 7 are connected to the network 3, the bio-attacher 5a via the base station 6, and the bio-attacher 5b via the relay terminal 7. To connect to network 3. The biological DB 2 is connected to the monitor analysis server 1.

[Each part of this system]
[Monitor analysis server 1]
The monitor analysis server 1 is a cloud server, collects biological data, stores it in the biological DB 2, and analyzes the biological data.
The monitor analysis server 1 includes a control unit 11, a storage unit 12, and an interface unit 13, and the control unit 11 executes a processing program stored in the storage unit 12, thereby collecting and analyzing biological data. Has been realized. Details of the analysis process of biometric data will be described later.

[Biological DB2]
The biological DB 2 stores the collected biological data for each device identifier (device ID) of the bioattachment device 5.
The biological DB 2 also stores the analysis result of the biological data.

[Network 3]
The network 3 assumes the Internet, and is connected to a base station 6 for 5G communication to enable 5G wireless communication.
Further, the monitor analysis server 1, the monitor terminal 4, and the relay terminal 7 are connected to the network 3 by wire.

[Monitor terminal 4]
The monitor terminal 4 is a personal computer or a tablet terminal, and an instruction for analyzing biometric data is input from an input unit and transmitted to the monitor analysis server 1, and an analysis result received from the monitor analysis server 1 is displayed as a display unit. Display on.

[Biological device 5: Fig. 2]
Next, the biological attachment device will be described with reference to FIG. FIG. 2 is a block diagram of a biological wearing device.
As shown in FIG. 2, the biological attachment device 5 includes a sensor unit 50a and a mechanical unit 50b, and is attached to the chest or the like of a human body.
The vibration signal detected by the sensor unit 50a is converted into an electric signal, input to the machine unit 50b as vibration data, and transmitted.

The sensor unit 50a has a piezoelectric element that can be attached to the human body. The piezoelectric element detects the vibration of the human body, converts the detected vibration signal into an electric signal, and outputs the vibration signal to the control unit 51 of the machine unit 50b.
Further, the sensor unit 50a is provided with a thermometer for detecting the body temperature.

Here, the vibration signal detected by the piezoelectric element of the sensor unit 50a is converted into an electric signal, and the machine unit 50b transmits it to the monitor analysis server 1 as vibration data (data in which vibrations such as heart rate and respiration rate are mixed). Since the monitor analysis server 1 separates and estimates data such as heart rate and respiration rate, the configuration of the sensor unit 50a of the biofitting device 5 can be simplified and the cost of the entire system can be reduced. Is.

The mechanical unit 50b includes a control unit 51, a communication unit 52, a position detection unit 53, a battery 54, and the like. Each part of the mechanical part 50b and the sensor part 50a are driven by a battery, and the vibration data detected by the sensor part 50a is input to the control unit 51 and transmitted from the communication unit 52. At the time of transmission, the position information detected by the position detection unit 53 is also added.

The position detection unit 53 is, for example, a GPS (Global Positioning System) device.
The communication unit 52 is a SIM / / and BT communication unit (BT communication unit) for 5G communication. As the communication unit 52, one of the SIM or BT communication unit may be provided, or both may be provided.
In the bio-mounted device 5a shown in FIG. 1, the communication unit 52 is a SIM communication unit for 5G communication, and in the bio-attached device 5b, the communication unit 52 is a BT communication unit.
The communication SIM of the communication unit 52 is not limited to 5G, and may be 4G (4th generation mobile communication system).

[Base station 6]
The base station 6 receives the 5G communication of the biometric data from the biofitting device 5a and transmits it to the monitor analysis server 1 via the network 3.

[Relay terminal 7]
The relay terminal 7 receives the BT communication of the biometric data from the biofitting device 5b and transmits it to the monitor analysis server 1 via the network 3. The relay terminal 7 is assumed to be a terminal device such as a notebook computer, a tablet, or a smartphone.

[Operation of this system]
[Data transmission process]
The piezoelectric element of the sensor unit 50a of the biofitting device 5a detects the vibration and converts it into an electric signal (vibration data), and the mechanical unit 50b converts the detected vibration data, the detected body temperature data, the GPS position data, and the time data. It is transmitted by 5G communication together with the device ID.
The base station 6 transmits the data of the 5G communication from the bio-mounted device 5a to the monitor analysis server 1 via the network 3.

Further, the piezoelectric element of the sensor unit 50a from the biofitting device 5b detects the vibration and converts it into an electric signal (vibration data), and the mechanical unit 50b converts the detected vibration data, the detected body temperature data, and the time data into the device ID. And send by BT communication.
Since the bio-mounted device 5b is a power-saving type that performs BT communication on the assumption that it is used indoors, it does not have the GPS function of the position detection unit 53.

The relay terminal 7 assigns the device ID of the relay terminal 7 and transmits the data of the BT communication from the biological wearing device 5b to the monitor analysis server 1 via the network 3.
When the relay terminal 7 transmits the BT communication data, the information indicating the installation location of the device may be added and transmitted.

When the monitor analysis server 1 receives the biological data or the like from the network 3, the monitor analysis server 1 stores the biological data in the biological DB 2. In the living body DB 2, time data, vibration data, body temperature data, and position data, if any, are stored for each device ID of the living body wearing device 5.

[Analysis process: Fig. 3]
Then, the monitor analysis server 1 analyzes the heart rate, the respiratory rate, the ventilation volume, and the like from one vibration data. The vibration data includes various vibrations, and the frequency is in the range of, for example, 0 to 1000 Hz as a whole.
Specifically, as shown in FIG. 3, the control unit 11 of the monitor analysis server 1 performs the analysis processing shown below. FIG. 3 is a flow chart of vibration data analysis processing.

That is, as shown in FIG. 3, the control unit 11 reads the vibration data including various vibrations such as heartbeat and breath (S1), and separates the vibration data into a band of less than 100 Hz and a band of 100 Hz or more by a passing band filter (S2). ), For vibration data with a band of less than 100 Hz, a process of estimating the heart rate based on the number of patterns of amplitude change (S3), and for vibration data of a band of 100 Hz or more and less than 1000 Hz, a process of estimating the respiratory rate with the number of patterns of amplitude change. (S4).

[Heart rate estimation process: Fig. 4]
Next, the process of estimating the heart rate from the vibration data will be described with reference to FIG. FIG. 4 is a flow chart of the heart rate estimation process.
For example, when the living body is a normal adult at rest, a waveform (amplitude change pattern) observed in a band of less than 100 Hz and a constant cycle of 60 to 100 times / minute is extracted, and the number of times per minute is estimated as the heart rate. Is defined as. In 1 minute, bradycardia occurs 60 times or less, and tachycardia occurs 100 times or more.

Specifically, as shown in FIG. 4, the control unit 11 of the monitor analysis server 1 extracts a waveform (amplitude change pattern) regarded as a heartbeat from the vibration data having a band of less than 100 Hz (S11).
Next, it is determined whether or not the number of times of the extracted amplitude change pattern is 60 times or more and less than 100 times per minute (S12), and when it is 60 times / minute or more and less than 100 times / minute / minute (in the case of Yes). ), The number of times of the amplitude change pattern is taken as the estimated heart rate (S13).

If the number of amplitude change patterns is less than 60 times per minute (less than 60 times / minute) in the determination process S12, the number of times of the amplitude change pattern is defined as the bradycardia heart rate (S14). If the number of amplitude change patterns is 100 times or more per minute (100 times / minute or more) in the determination process S12, the number of times of the amplitude change pattern is defined as the tachycardia heart rate (S15).

[Respiratory rate estimation process: Fig. 5]
Next, the process of estimating the respiratory rate from the vibration data will be described with reference to FIG. FIG. 5 is a flow chart of the respiratory rate estimation process.
For example, a waveform (amplitude change pattern) observed in a band of 100 to 1000 Hz at a constant cycle of 10 to 24 times / minute is extracted, and the number of times per minute is used as the estimated respiratory rate. Bradypnea occurs 9 times or less and hyperventilation occurs 25 times or more in 1 minute.

Specifically, as shown in FIG. 5, the control unit 11 of the monitor analysis server 1 extracts a waveform (amplitude change pattern) regarded as respiration from vibration data having a band of 100 Hz or more and less than 1000 Hz (S21).
Next, it is determined whether or not the number of times of the extracted amplitude change pattern is 10 times or more and 24 times or less per minute (S22), and when it is 10 times / minute or more and 24 times or less / minute (in the case of Yes). The number of times of the amplitude change pattern is taken as the estimated respiratory rate (S23).

If the number of amplitude change patterns is 9 times or less per minute (9 times / minute or less) in the determination process S22, the number of times of the amplitude change pattern is defined as the bradypnea rate (S24). If the number of amplitude change patterns in the determination process S22 is 25 times or more per minute (25 times / minute or more), the number of times of the amplitude change pattern is defined as the hyperventilation rate (S25).

[Ventilation volume / snoring analysis processing]
In the section where the respiratory waveform cannot be measured and the heartbeat can be measured, the respiratory arrest time is measured as a sleep apnea state.
In addition, in one breath, the time from the start of the inhaling motion to the end of the exhaling motion is leveled by the individual to obtain the estimated ventilation volume. The normal adult is 400-500 ml.
Specifically, one ventilation volume is estimated with reference to the ventilation volume of a normal adult from the respiratory rate, the duration of the respiratory waveform, and the length of the interval between the waveforms.

In addition, the section where the heartbeat waveform cannot be measured and the breathing waveform can be measured is a section where the vibration of snoring is large and the heartbeat cannot be detected. Is defined. Measure the duration and frequency of the snoring waveform, and if there is a snoring waveform and no breathing waveform, measure that time as the apnea time, and from the length of the snoring time, the apnea time, the maximum heart rate, and the frequency. , Estimate the severity of snoring and apnea symptoms.

[Monitor terminal display screen: Fig. 6]
Next, the display screen in the monitor terminal 4 will be described with reference to FIG. FIG. 6 is a schematic view showing an example of a display screen of a monitor terminal.
For example, as shown in FIG. 6, on the display screen of the monitor terminal 4, the device ID (BitID) of the biofitting device 5 and the patient name are set as a set, and the change in the heart rate or the respiratory rate of the vibration data (change in the number of times). And the change in body temperature is displayed. Either heart rate or respiratory rate can be selected and switched. In FIG. 6, since the patient name is used, this is an example of applying this system to a facility of a medical institution.
The display screen of FIG. 6 may be displayed on the relay terminal 7.

[electro-cardiogram]
Further, in a medical institution, by mounting a plurality of bio-attachers 5 at appropriate positions on the patient's body, it can be used as a Holter electrocardiogram that can be measured for 24 hours.
On the display screen of the monitor terminal 4 or the relay terminal 7, a schema diagram imitating a human body is displayed, the mounting position of the biological wearing device 5 and the (+,-) electrodes of the channel number are displayed, and the waveform of the electrocardiogram is further displayed. I am trying to display it.

[Application site of this system]
If this system is used for patient monitoring in hospitals and facilities for the elderly, it can be used in medical and welfare settings.
Since the bio-attachment device 5 is used in a specific facility, the bio-attachment device 5 uses a device for BT communication (bio-attachment device 5b), and the relay terminal 7 is provided in each room and is connected to the network 3.
Also, if it is used for patient monitoring at home, it can be used at the patient's home. Also in this case, the biological wearing device 5b of BT communication is used, and the relay terminal 7 is provided in the room.

In addition, if this system is used for monitoring construction workers and traffic workers, it can be used for work environment management. In this case, since the construction worker and the like work outdoors, the biological attachment device 5a for 5G communication is used.
Further, in the case of application of this system to the following applications, the bio-mounted device 5a or the bio-mounted device 5b for 5G communication is used.
If this system is used for livestock monitoring, it can be used for the livestock industry.
When used for monitoring the elderly, it can be used for watching and guarding.
When used for monitoring the sleep status of employees, it can be used for health insurance and preventive medicine.

[Effect of embodiment]
According to this system, the monitor analysis server 1 analyzes the heart rate, the respiratory rate, and the ventilation rate from one vibration data from the biological wearing device 5 equipped with the piezoelectric element, and displays and outputs the data to the monitor terminal 4, which is simple. There is an effect that the heart rate, the respiratory rate, the ventilation volume, etc. can be analyzed from one vibration data by using the biological wearing device 5.

The present invention transmits vibration data obtained from the piezoelectric element of a biofitting device, estimates the heart rate, respiration rate, and ventilation volume separately from the vibration data by a cloud server that monitors and analyzes the vibration data, and uses an inexpensive biowearing device. It is suitable for biological monitoring systems and their programs that can reduce the cost of the system.

1 ... Monitor analysis server, 2 ... Biological database (DB), 3 ... Network, 4 ... Monitor terminal, 5,5a, 5b ... Biological wearer, 6 ... Base station, 7 ... Relay terminal, 11 ... Control unit, 12 ... Storage unit, 13 ... Interface unit, 50a ... Sensor unit, 50b ... Mechanical unit, 51 ... Control unit, 52 ... Communication unit, 53 ... Position detection unit, 54 ... Battery

Claims (7)

It is a biological monitoring system that has a monitor analysis server that collects and analyzes vibration data from a biological device.
The monitor analysis server separates the input vibration data in a frequency band, extracts a specific amplitude change pattern from the separated vibration data, and has a heart rate or a respiratory rate based on the number of times of the extracted amplitude change pattern. Is to estimate
For vibration data whose separated band is less than 100 Hz, an amplitude change pattern regarded as a heart rate is extracted, and if the number of times per minute of the amplitude change pattern is within a specific range, the number of times is set as the estimated heart rate, and the above. A biological monitoring system characterized in that the number of times falls below a specific range is defined as a bradycardia heart rate, and above the specific range is defined as a tachycardia heart rate . The monitor analysis server extracts an amplitude change pattern regarded as respiration for vibration data whose separated band is 100 Hz or more and less than 1000 Hz, and if the number of times per minute of the amplitude change pattern is within a specific range, the number of times is said. The biological monitoring system according to claim 1 , wherein the estimated respiratory rate is defined as the estimated respiratory rate, the number of breaths is defined as the slow respiratory rate when the respiratory rate is below the specific range, and the respiratory rate is defined as the hyperrespiratory rate when the respiratory rate exceeds the specific range. .. The monitor analysis server estimates the ventilation volume at one time from the breathing rate, the duration of the breathing waveform, and the length of the waveform interval, and sets the section where the heartbeat waveform cannot be measured and the breathing waveform can be measured as the section of the snoring waveform. The biological monitoring system according to claim 1 or 2 , wherein when there is a waveform and there is no respiratory waveform, the section of the snoring waveform is set as the abstinence time. The bio-attacher is
A sensor unit having a piezoelectric element that detects vibration and converts the vibration signal into an electrical signal,
The biological monitoring system according to any one of claims 1 to 3, further comprising a mechanical unit having a communication unit that transmits the converted electrical signal as vibration data to a monitor analysis server. A program that runs on a monitor analysis server that collects and analyzes vibration data from a bio-mounted device.
The monitor analysis server separates the input vibration data by frequency band, extracts a specific amplitude change pattern from the separated vibration data, and heart rate or respiratory rate based on the number of times of the extracted vibration change pattern. For vibration data whose separated band is less than 100 Hz, an amplitude change pattern regarded as a heartbeat is extracted, and if the number of times of the amplitude change pattern per minute is within a specific range, the above-mentioned A program characterized in that the number of times is set as an estimated heart rate, the number of times falls below the specific range as a bradycardia heart rate, and the number of times exceeds the specific range as a tachycardia heart rate . The monitor analysis server extracts an amplitude change pattern considered to be respiration for vibration data whose separated band is 100 Hz or more and less than 1000 Hz, and if the number of times per minute of the amplitude change pattern is within a specific range, the above number of times. 5 is characterized in that, the respiratory rate is estimated to be the estimated respiratory rate, the number of breaths is defined as the slow respiratory rate when the respiratory rate is below the specific range, and the respiratory rate is defined as the hyperventilation rate when the respiratory rate exceeds the specific range. program. The monitor analysis server estimates the ventilation volume at one time from the breathing rate, the duration of the breathing waveform, and the length of the waveform interval, and sets the section where the heartbeat waveform cannot be measured and the breathing waveform can be measured as the section of the snoring waveform. The program according to claim 5 or 6, wherein when there is a waveform and there is no breathing waveform, the section of the snoring waveform is made to function as an abstinence time.

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