JP2022122975A - Biological monitoring system and program thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a biological monitoring system for transmitting vibration data obtained from a piezoelectric element of a body-worn device, causing a monitor-analysis cloud server to separate the vibration data and estimate a heart rate, respiration frequency and ventilation volume, and reducing the cost of the system by using the low-cost body-worn device, and program thereof.

SOLUTION: A biological monitoring system causes a control unit 11 of a monitor-analysis server 1 to separate vibration data transmitted from a body-worn device 5, by a frequency band, extracts waveforms (specific amplitude change patterns) that are regarded as heartbeat or respiration from the separated vibration data, estimates a heart rate and respiration frequency based on the number of times of extracted amplitude change pattern, further measures a period of respiratory arrest, calculates an estimate ventilation and displays the heart rate or respiration frequency on a monitor terminal 4. A program thereof is also provided.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to a biological monitoring system using wireless communication, and in particular, a biological monitoring system that can remotely analyze heart rate, respiration rate, ventilation volume, etc. from one vibration data in biological data using an inexpensive biological device. about that program.

[Conventional technology]
In conventional devices for monitoring biological data, the devices for acquiring biological data are complicated and cannot be constructed at low cost, resulting in an increase in the cost of the monitoring system as a whole.

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

Japanese Patent Laid-Open No. 2002-200001 describes that a piezoelectric element is installed on bedding to extract a specific frequency component in a living body monitoring device to monitor a heart rate, a respiration rate, and turning over.
Patent Document 2 discloses a monitoring device for managing inpatients in a hospital, in which changes in the patient's heartbeat and respiration are detected by a piezoelectric element installed in a belt shape on a bed, converted into an electrical signal, and output. is described.

Patent Document 3 discloses a biopotential detection device for electrocardiogram measurement, in consideration of hygiene and waterproofness, a disposable bioelectrode pad for detecting the potential of a living body, and a biopotential signal detected by the bioelectrode pad. It is described to have a signal processor for processing.

JP-A-04-028345 JP-A-05-095914 Japanese Patent Application Laid-Open No. 2004-121360

However, the above-described conventional monitoring system has a problem that it is difficult to reduce the cost of the whole system by using inexpensive devices for acquiring biometric data.

In addition, in Patent Documents 1 to 3, heart rate, respiration rate, and ventilation volume are separately estimated from one vibration data acquired from a biological wearable device, and an entire system is constructed with an inexpensive biological wearable device. There is no mention of

The present invention has been made in view of the above-mentioned actual situation, and transmits vibration data obtained from the piezoelectric element of the body wearable device, and separates the heart rate, respiration rate, and ventilation volume from the vibration data in a cloud server for monitor analysis. It is an object of the present invention to provide a living body monitoring system and its program that can estimate the body weight and reduce the cost of the system with an inexpensive living body wearing device.

The present invention for solving the problems of the conventional examples is a biological monitoring system having a monitor analysis server that collects and analyzes vibration data from a biological wearable device, wherein the monitor analysis server is a device of the biological wearable device. ID and patient name are managed as a set, the input vibration data is separated by frequency band, a specific amplitude change pattern is extracted from the separated vibration data, and the heart rate is based on the number of amplitude change patterns extracted. Alternatively, the respiration rate is estimated , and the heart rate or respiration rate is displayed on the monitor terminal in association with the device ID and patient name. A change pattern is extracted, and if the number of times of the amplitude change pattern per minute is within a specific range, the number is set as an estimated heart rate, and if it falls below a specific range, the number is set as a bradycardia heart rate, and a specific range is set as the tachycardia heart rate.

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

The present invention is characterized in that, in the above biological monitoring system, the monitor analysis server inputs the body temperature detected by the body wearable device and displays the body temperature on the monitor terminal in association with the device ID and the patient name .

The present invention is a program that operates on a monitor analysis server that collects and analyzes vibration data from a biological wearable device, the monitor analysis server manages the device ID of the biological wearable device and the patient name as a set, The vibration data is separated by frequency band, a specific amplitude change pattern is extracted from the separated vibration data, the heart rate or respiratory rate is estimated based on the number of times of the extracted amplitude change pattern, and the device ID and the patient The heart rate or respiration rate is displayed on the monitor terminal in association with the person's name, and for the vibration data whose separated band is less than 100 Hz, an amplitude change pattern that is regarded as a heartbeat is extracted, and the amplitude change pattern is extracted. If the number of times per minute is within a specific range, the number is assumed to be the estimated heart rate, if it falls below the specific range, it is the bradycardia heart rate, and if it exceeds the specific range, the number is the tachycardia heart rate. It is characterized by functioning to

According to the present invention, in the above program, the monitor analysis server extracts an amplitude change pattern that is regarded as breathing for vibration data with a separated band of 100 Hz or more and less than 1000 Hz, and the frequency of the amplitude change pattern per minute is a specific number. If it is within the range, the number is assumed to be the estimated respiratory rate, if it falls below a specific range, the number is set to the slow breathing rate, and if it exceeds the specific range, the number is set to the hyperpnea rate. .

The present invention is characterized in that, in the above program, the monitor analysis server inputs the body temperature detected by the body wearable device and displays the body temperature on the monitor terminal in association with the device ID and the patient name .

According to the present invention, the monitor analysis server manages the device ID of the biomountable device and the patient name as a set, separates the input vibration data by frequency band, and extracts a specific amplitude change pattern from the separated vibration data. heart rate or respiration rate is estimated based on the number of amplitude change patterns extracted, and the heart rate or respiration rate is displayed on a monitor terminal in association with the device ID and the patient name. For vibration data with a separated band of less than 100 Hz, an amplitude change pattern that is 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 number is assumed to be an estimated heart rate, and a specific If the number falls below the range, the number is set as the bradycardia heart rate, and if the number exceeds a specific range, the number is set as the tachycardia heart rate . Since the heart rate or respiration rate can be displayed on the monitor terminal, there is an effect that the entire system can be constructed at low cost.

1 is a schematic diagram of the system; FIG. 1 is a configuration block diagram of a biological wearable device; FIG. 4 is a flow chart of vibration data analysis processing; FIG. FIG. 10 is a flowchart of heart rate estimation processing; FIG. 10 is a flowchart of respiratory rate estimation processing; 4 is a schematic diagram showing an example of a display screen of a monitor terminal; FIG.

An embodiment of the present invention will be described with reference to the drawings.
[Outline of Embodiment]
A living body monitoring system (this system) according to an embodiment of the present invention transmits vibration data detected by a piezoelectric element of a living body wearable device via Bluetooth (registered trademark: BT) or 5G (5th generation mobile communication system). Wirelessly communicate with a cloud server that performs monitor analysis processing by a communication method, the cloud server separates the transmitted vibration data by frequency band, extracts a specific amplitude change pattern from the separated vibration data, and extracts the extracted amplitude change. Based on the number of patterns, the heart rate and respiration rate are estimated, and the respiratory arrest period is measured to calculate the estimated ventilation volume. The entire system can be constructed at a 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, animal husbandry, and security, and can be used for various purposes.

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

The monitor analysis server 1, the monitor terminal 4, the base station 6, and the relay terminal 7 are connected to the network 3. to connect to network 3. The living body 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 biometric data, stores it in the biometric DB 2, and analyzes the biometric data.
The monitor analysis server 1 includes a control unit 11, a storage unit 12, and an interface unit 13. By executing a processing program stored in the storage unit 12 by the control unit 11, the function of collection and analysis of biological data is performed. is realized. The details of the biological data analysis process will be described later.

[Biological database 2]
The living body DB 2 stores the collected living body data for each device identifier (device ID) of the living body wearable device 5 .
The biometric DB 2 also stores analysis results of biometric data.

[Network 3]
The network 3 is assumed to be the Internet, and is connected to a base station 6 for 5G communication to enable 5G wireless communication.
A monitor analysis server 1, a monitor terminal 4, and a 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 inputs and transmits an instruction for analyzing biological data to the monitor analysis server 1 from the input unit, and displays the analysis results received from the monitor analysis server 1 on the display unit. to display.

[Body wearing device 5: FIG. 2]
Next, the biomountable device will be described with reference to FIG. FIG. 2 is a configuration block diagram of the biomountable device.
As shown in FIG. 2, the body mounting device 5 includes a sensor section 50a and a mechanical section 50b, and is worn on the chest of a human body or the like.
A vibration signal detected by the sensor section 50a is converted into an electrical signal, which is input as vibration data to the mechanical section 50b and transmitted.

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

Here, the vibration signal detected by the piezoelectric element of the sensor unit 50a is converted into an electric signal, and the mechanical unit 50b transmits it to the monitor analysis server 1 as vibration data (data including vibration such as heart rate and respiration rate). In addition, since the monitor analysis server 1 separates and estimates data such as heart rate and respiration rate, the configuration of the sensor section 50a of the body wearable device 5 can be simplified, and the cost of the entire system can be reduced. is.

The mechanical section 50b includes a control section 51, a communication section 52, a position detection section 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 vibration data detected by the sensor part 50a is input to the control part 51 and transmitted from the communication part 52. FIG. Position information detected by the position detector 53 is also added at the time of transmission.

The position detector 53 is, for example, a GPS (Global Positioning System) device.
The communication unit 52 is a SIM and/or BT communication unit (BT communication unit) for 5G communication. As the communication unit 52, one of the SIM and BT communication units, or both may be provided.
The communication unit 52 of the biological mounting device 5a shown in FIG. 1 is a SIM communication unit for 5G communication, and the communication unit 52 of the biological mounting device 5b is a BT communication unit.
The communication SIM of the communication unit 52 is not limited to 5G, and may be 4G (fourth generation mobile communication system).

[Base station 6]
The base station 6 receives 5G communication of biometric data from the bio-worn 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 biological data from the biological body-worn 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, tablet, or smart phone.

[Operation of this system]
[Data transmission process]
Vibration is detected by the piezoelectric element of the sensor unit 50a of the biological wearable device 5a and converted 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 5G communication data from the bio-worn device 5 a to the monitor analysis server 1 via the network 3 .

In addition, the vibration is detected by the piezoelectric element of the sensor unit 50a from the living body wearable device 5b and converted into an electric signal (vibration data), and the mechanical unit 50b uses the detected vibration data, the detected body temperature data, and the time data as the device ID together with BT communication.
The body-worn device 5b is assumed to be used indoors and is a power-saving type that performs BT communication, and 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 to the data of the BT communication from the body-worn device 5 b and transmits the data 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 also be added and transmitted.

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

[Analysis processing: Fig. 3]
Then, the monitor analysis server 1 analyzes heart rate, respiration rate, ventilation volume, etc. from one vibration data. The vibration data includes various vibrations, and the frequencies are in the range of, for example, 0 to 1000 Hz.
Specifically, as shown in FIG. 3, the control unit 11 of the monitor analysis server 1 performs the following analysis processing. FIG. 3 is a flowchart of vibration data analysis processing.

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

[Heart rate estimation processing: Fig. 4]
Next, the process of estimating heart rate from vibration data will be described with reference to FIG. FIG. 4 is a flow diagram of heart rate estimation processing.
For example, when the living body is a normal adult at rest, extract the waveform (pattern of amplitude change) observed at a frequency of less than 100 Hz and a constant period of 60 to 100 times / minute, and estimate the number of times per minute Heart rate defined as Bradycardia is 60 beats or less per minute, and tachycardia is 100 beats or more per minute.

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 vibration data with a band of less than 100 Hz (S11).
Next, it is determined whether or not the number of amplitude change patterns extracted is 60 times or more and less than 100 times per minute (S12). ), and the number of times of the amplitude change pattern is set as the estimated heart rate (S13).

If the frequency of the amplitude change pattern is less than 60 times per minute (less than 60 times/minute) in the determination process S12, the frequency of the amplitude change pattern is set 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 taken as the tachycardia heart rate (S15).

[Respiration rate estimation process: FIG. 5]
Next, the process of estimating the respiration rate from vibration data will be described with reference to FIG. FIG. 5 is a flowchart of respiratory rate estimation processing.
For example, a waveform (amplitude change pattern) observed at a frequency of 100 to 1000 Hz and a constant period of 10 to 24 times/minute is extracted, and the number of times per minute is taken as the estimated respiration rate. Less than 9 breaths per minute is bradypnea, and more than 25 breaths per minute is hyperventilation.

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 with a band of 100 Hz or more and less than 1000 Hz (S21).
Next, it is determined whether or not the number of amplitude change patterns extracted is 10 times or more and 24 times or less per minute (S22). The number of times of the amplitude change pattern is set as the estimated respiration rate (S23).

If the frequency of the amplitude change pattern is 9 times or less per minute (9 times/minute or less) in the determination process S22, the frequency of the amplitude change pattern is set as the slow breathing rate (S24). If the number of amplitude change patterns is 25 times or more per minute (25 times/minute or more) in the determination process S22, the number of times of the amplitude change pattern is set as the hyperpnea number (S25).

[Ventilation volume/snoring analysis processing]
A period in which the respiratory waveform cannot be measured but the heart rate can be measured is regarded as a sleep apnea state, and the breathing stop time is measured.
In addition, in one breath, the time from the start of the inhalation to the end of the exhalation is leveled by the individual to obtain an estimated ventilation volume. A normal adult is 400-500 ml.
Specifically, one ventilation volume is estimated from the respiratory rate, the duration of the respiratory waveform, and the length of the waveform interval, with reference to the ventilation volume of a normal adult.

In addition, the interval in which the heartbeat waveform cannot be measured and the respiratory waveform can be measured is the interval in which the vibration of snoring is large and the heartbeat cannot be detected. Define The duration and frequency of the snoring waveform are measured, and if there is a snoring waveform but no respiratory waveform, that time is measured as the apnea time. , to estimate the severity of snoring and apnea symptoms.

[Monitor terminal display screen: Fig. 6]
Next, a display screen on the monitor terminal 4 will be described with reference to FIG. FIG. 6 is a schematic diagram 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 bio-worn device 5 and the patient name are set, and the change in the heart rate or respiration rate (change in number of times) of the vibration data is displayed. and changes in body temperature. Either heart rate or respiration rate is selectable and can be switched. In FIG. 6, the names of patients are used, which is an example of applying this system to facilities such as medical institutions.
Note that the display screen of FIG. 6 may be displayed on the relay terminal 7 .

[electro-cardiogram]
Moreover, at a medical institution, by attaching a plurality of bio-implantable devices 5 to 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 schematic diagram simulating a human body is displayed to display the mounting position of the biological body mounting device 5 and the (+, -) electrodes of the channel number, and furthermore, the waveform of the electrocardiogram is 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 body wearable device 5 is used in a specific facility, a device for BT communication (the body wearable device 5b) is used as the body wearable device 5, and the relay terminal 7 is provided in each room and connected to the network 3.
In addition, when used for patient monitoring at home, it can be used at the patient's home. In this case as well, the bio-implantable device 5b for BT communication is used, and the relay terminal 7 is provided in the room.

In addition, if this system is used to monitor construction workers and traffic workers, it can be used for work environment management. In this case, since the construction worker or the like works outdoors, the biomountable device 5a for 5G communication is used.
Also, in the case of applying the present system to the following uses, the body mounting device 5a or the body mounting device 5b for 5G communication is used.
If this system is used for livestock monitoring, it can be used in the livestock industry.
When used for monitoring the elderly, it can be used at the site of watching over and security.
It can be used for health insurance and preventive medicine if it is used to monitor the sleeping state of employees.

[Effects of Embodiment]
According to this system, the monitor analysis server 1 analyzes the heart rate, respiration rate, and ventilation volume from one vibration data from the bio-worn device 5 equipped with a piezoelectric element, and outputs the results to the monitor terminal 4 for display. There is an effect that heart rate, respiration rate, ventilation volume, etc., can be analyzed from one vibration data using the biological wearable device 5 .

The present invention transmits vibration data obtained from a piezoelectric element of a biological wearable device, and separates and estimates the heart rate, respiratory rate, and ventilation volume from the vibration data in a cloud server for monitor analysis, and uses an inexpensive biological wearable device. It is suitable for a living body monitoring system and its program that can reduce the cost of the system.

DESCRIPTION OF SYMBOLS 1... Monitor analysis server 2... Biological database (DB) 3... Network 4... Monitor terminal 5, 5a, 5b... Body mounting device 6... Base station 7... Relay terminal 11... Control part 12... Memory unit 13 Interface unit 50a Sensor unit 50b Machine unit 51 Control unit 52 Communication unit 53 Position detection unit 54 Battery

Claims (6)

A biological monitoring system having a monitor analysis server that collects and analyzes vibration data from a biological wearable device,
The monitor analysis server manages the device ID and patient name of the biomountable device as a set, separates the input vibration data by frequency band, extracts a specific amplitude change pattern from the separated vibration data, estimating a heart rate or a respiration rate based on the number of amplitude change patterns extracted , and displaying the heart rate or the respiration rate on a monitor terminal in association with the device ID and the patient name ;
For vibration data in which the separated band is less than 100 Hz, an amplitude change pattern that is 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 number is assumed to be an estimated heart rate, and A biological monitoring system, wherein the number of times is set as a bradycardia heart rate when the number falls below a specific range, and the number of times is set as a tachycardia heart rate when the number exceeds the specific range. The monitor analysis server extracts an amplitude change pattern that is regarded as breathing for vibration data with a separated band of 100 Hz or more and less than 1000 Hz, and if the number of times of the amplitude change pattern per minute is within a specific range, the number of times 2. The biological monitoring system according to claim 1, wherein the estimated respiratory rate is set to the estimated respiratory rate, and the number is set to the slow breathing rate when the number falls below the specific range, and the number is set to the hyperpnea rate when the number exceeds the specific range. 3. The living body monitoring system according to claim 1, wherein the monitor analysis server inputs the body temperature detected by the living body wearable device, and displays the body temperature on the monitor terminal in association with the device ID and the patient name . A program that operates on a monitor analysis server that collects and analyzes vibration data from a biological wearable device,
The monitor analysis server manages the device ID and patient name of the biomountable device as a set, separates the input vibration data by frequency band, extracts a specific amplitude change pattern from the separated vibration data, A heart rate or respiration rate is estimated based on the number of amplitude change patterns extracted, and the heart rate or respiration rate is displayed on a monitor terminal in association with the device ID and the patient name. , extracting an amplitude change pattern that is regarded as a heartbeat from the vibration data in which the separated band is less than 100 Hz, and if the number of times of the amplitude change pattern per minute is within a specific range, the number of times is an estimated heart rate; A program characterized by functioning to make said number of times a bradycardia heart rate when below said specific range and to make said number of times a tachycardia heart rate when above said specific range. The monitor analysis server extracts an amplitude change pattern that is regarded as breathing for vibration data with a separated band of 100 Hz or more and less than 1000 Hz, and if the number of times of the amplitude change pattern per minute is within a specific range, the number of times 5. The program according to claim 4, wherein the estimated respiratory rate is set to an estimated respiratory rate, the number is set to a slow breathing rate when the number falls below the specific range, and the number is set to a hyperpnea rate when the number exceeds the specific range. . 6. The program according to claim 4 or 5, characterized in that the monitor analysis server receives the body temperature detected by the body wearable device and displays the body temperature on the monitor terminal in association with the device ID and patient name. .

Images