WO2022050862A1 - Device for recording biophysical variables of a person during sleep - Google Patents

Abstract

The invention relates to devices for recording and monitoring biophysical variables during sleep, which are designed for integration into mattresses for the purpose of improving sleep quality. The present device comprises a unit of sensitive sensors for converting the movements of a user into an analog electrical signal, and a processing unit consisting of a housing, a printed circuit board and a rechargeable battery. The unit of sensitive sensors consists of at least one piezoelectric sensor, and at least one bend sensor. The piezoelectric sensor is configured in the form of a piezosensitive film and is intended to record the pulse rate, respiratory rate and movements of a user during sleep (to identify a sleep phase). The bend sensor is configured in the form of a passive multichannel sensor strip comprised of a polyamide-based film with built-in sensitive elements, the resistance of which varies in accordance with the bend radius of the strip. The bend sensor is intended to identify the positions of the user during sleep and the number of nocturnal awakenings. The processing unit is configured for analog and digital processing of the output signals of the claimed sensitive sensors. The device wirelessly transmits information to an electronic device.

Description

Device for recording human biophysical parameters during sleep

The utility model relates to devices for recording and monitoring the most important biophysical parameters of a person during sleep, namely, to devices that can be built into mattresses of various configurations at the production stage in order to monitor various biophysical parameters of a person during sleep and improve sleep quality.

Currently, there are widely represented intelligent systems embedded in mattresses equipped with special sensitive sensors that allow you to collect primary information about sleep, namely, monitor heart rate, breathing rate, body temperature, posture position in sleep, control sleep phases, analyze the information received. and offer recommendations to improve the quality of sleep.

The following technical solutions are known from the prior art.

A device for non-contact recording of the patient's vital signs in continuous mode in the supine state is known (patent RU 2698441), which includes a housing made in the form of a plastic mold and fixed to the patient's bed, a controller located directly in the housing, and a sensor represented by a piezoelectric sensor of the family EmfitR-Series, housed in a cover that is fixed to the bed under the mattress in the area of the patient's shoulder blades. The controller includes signal amplifiers (U1) and (U 2) and a signal recording device (URS), when the power is turned on, connecting to the cloud service using a secure SSL connection and continuously transmitting vital signs to the cloud application at the level of the application data transfer protocol, such as pulse rate per minute, respiratory rate per minute, hemodynamic activity index, motor activity index, intervalogram. In this case, the sensor is connected to the amplifier (U1) by a coaxial cable.

A feature of this device is that it refers to medical technology and is primarily aimed at continuous monitoring of the health of sick people and children under medical supervision. Therefore, the specificity of this technical does not allow the use of this device by a wide range of consumers.

A technical solution is known, which is an electric bed (patent RU 2722634), which includes a tracking module installed on the top of the bed body, and a wireless communication module. The tracking module is configured to determine such parameters as body temperature, heart rate, respiratory rate, snoring intensity, respiration rate, number of cases of tossing and fidgeting in bed.

From the tracking module, information about the user's vital signs goes to the wireless communication module, configured to send the tracking data to the server, while the server receives the setting signal sent by the terminal device (for example, a gadget), and sends an alarm when the tracking data goes beyond threshold values specified in the setting signal, wherein the wireless communication module is configured to receive data on the state of the electric bed and send said data to the server.

The fact that the technical solution is an electric bed with the ability to generate a signal about the user's alarming vital signs allows us to conclude that its use is mainly preferable in medical institutions and is not designed for a wide range of consumers.

A system for monitoring the biophysical parameters of a person during sleep is known (patent US2019380653), which is an "intelligent" mattress in which one or more force sensors are built in to detect movements (respiratory movements, heart beats, body movements) and determine the user's posture during sleep. Additionally, sensors for temperature and humidity (sweating) of the user's body can be built into the mattress.

In the case of a double mattress configuration, the sensors are divided into two sets, each of which is associated with the corresponding side of the mattress (left and right), with each set of sensors designed to receive data associated with one user.

In one alternative, a set of force sensors is placed on the respective side of the mattress (left and right) as follows: three force sensors in the user's head/chest region, three force sensors in the user's waist region, three force sensors in the user's legs.

A set of sensors for each user is connected to the corresponding microcontroller. In turn, microcontrollers are connected to the main processor. The user's biophysical data is transmitted via a wireless communication module associated with the main processor, and the communication module can be configured to transmit data via wireless Wi-Fi, Bluetooth, 3G, 4G or Long Term Evolution (LTE).

The disadvantage of this technical solution is that the proposed placement of force sensors does not provide sufficient coverage of the sleeping area, which can lead to the problem of signal loss when the user moves on the mattress during sleep. Also, the use of force sensors to determine the user's postures in a dream provides high accuracy only when a large number of force sensors are distributed over the mattress in order to build a pressure distribution map, which can lead to increased labor intensity and energy consumption of signal processing algorithms and can have a negative impact on the properties of the mattress, cause discomfort to the user.

Known system for monitoring the biophysical parameters of a person during sleep, which allows you to determine the pulse rate and respiration of the user, the phase of sleep and record the movements of the user during sleep (patent US2016015315).

The system consists of a processor unit located near the user's bed, a sensor unit built into the user's bed, and a control unit.

The sensor unit includes an electronic unit and a sensing module including sensors for detecting changes in pressure generated by the user's body (eg, piezoelectric and piezoresistive sensors) and additionally sensors for detecting the temperature of the user's body. In the preferred embodiment, the sensing module is made in the form of a "cushion" located on the mattress or under it in the area of the user's chest.

User data from the sensing module may be transmitted via the electronic module to the processing device via BlueTooth, Wi-Fi or other suitable wireless means. Alternatively, communication can be wired, with the sensor unit connected to the processor module using wire and USB ports.

The processing device may include the following components: a microphone to detect and record sounds surrounding the user, a light sensor to determine the level of illumination of the room, a temperature sensor to determine the ambient temperature, and an air quality sensor. Declared sensors connected to the control unit, configured to process and store information received from the declared sensors. Also, the processor device includes a light source and a speaker for implementing a light and sound program corresponding to a certain phase of the user's sleep, aimed at providing quality sleep.

Alternatively, the user data from the sensor unit can be transmitted to a mobile terminal (eg, smartphone) from which the processor device can be controlled using a specially installed application.

In the case of a double bed configuration, each user is provided with their own sensor unit, from which information about the indicators is sent to the processor device, which is configured to receive and process two sets of data.

The disadvantage of this technical solution is that during the operation of the proposed sleep monitoring system, the processor device is installed near the bed, in particular on the bedside table, which may be somewhat inconvenient for users, and in the case of wired communication with the sensor unit, cause discomfort. And also in this technical solution, its ability to determine the position of a person in a dream using the claimed pressure sensors is not disclosed.

A device (patent CN110652303) is known for monitoring heartbeat, respiration and the state of movement of the human body, consisting of sensor modules, a microprocessor unit, a communication unit and a USB power supply unit.

Each of the sensor modules includes a piezoelectric ceramic sensor and a signal amplification and filtering unit (in the preferred embodiment, five sensor units in the head area, five sensor units in the thoracic region).

The signals from each piezoelectric ceramic sensor are sent to the signal amplification and filtering unit in order to complete the amplification and filtering of the original signals of human vital signs, then they are sent to the microprocessor unit, where the signal processing takes place and the analysis and processing of data on the amplified and filtered signals is completed, and then data on the indicators are sent to the communication unit. Information from the communication unit is transmitted to the server or mobile terminal via wired Ethernet or wireless Wi-Fi, Bluetooth, 2G or 4G. The USB power supply supplies power to each unit via the USB adapter.

The disadvantages of this device is that the use of sensors of this type with the proposed option for their distribution over the mattress can worsen the characteristics and properties of the mattress and cause discomfort to the user, and the device does not allow registering the position of a person in a dream.

Known mattress for monitoring the parameters of respiration and heartbeat of a person (patent US2003045806), which includes many piezoelectric sensors (from three to nine), made in the form of a piezoelectric film of polyamide. In an alternative embodiment of this technical solution, said piezoelectric elements are integrally formed from a single composite sheet of piezoelectric material.

The computing unit, connected to the sensors, receives and processes the output signals to obtain diagnostic variables such as respiratory rate, respiratory phase, heart rate, human body movements.

This technical solution is aimed primarily at monitoring the parameters of breathing and heartbeat of people suffering from respiratory syndrome, therefore, it does not provide for its use among a wide range of consumers. And also, embedding a plurality of piezoelectric films into a mattress is a rather laborious process, and the use of a plurality of sensitive sensors can lead to the complication of signal processing algorithms. In addition, using piezoelectric sensors, it is impossible to obtain information about the position and posture of a person on a mattress.

This technical solution is the closest analogue to the claimed utility model and can act as a prototype.

The task to be solved by this utility model is to create a device for comprehensive monitoring of important biophysical parameters of a person during sleep for a wide range of users with the possibility of embedding it in mattresses of various configurations while ensuring high accuracy in determining breathing, heart rate, sleep phases and human position. while sleeping, without compromising the characteristics and properties of the mattress.

The technical result of the proposed utility model is to ensure high accuracy in determining the important biophysical parameters of a person during sleep in the absence of a negative impact on the characteristics and properties of the mattress and while ensuring the compactness of the device and reducing the complexity of its embedding in mattresses of various configurations.

The technical result is achieved by using a device for recording human biophysical indicators during sleep, which includes sensitive sensors connected to the processor unit, characterized in that a piezo-sensitive tape and a tape bend sensor are used as sensors.

These sensors are used to determine four biophysical indicators of a person during sleep, in particular: pulse rate, respiratory rate, sleep stage and position in sleep. It will be apparent to a person skilled in the art that other indicators such as regularity of falling asleep, weight determination, snoring and any other characteristics known from the prior art can be taken by means of these sensors.

By determining the pulse rate, respiratory rate, sleep stage and position in a dream (and other indicators), sleep characteristics are analyzed, which allows you to adjust various areas of life in order to improve the quality of sleep of the system user and, as a result, improve the quality of life. To achieve this goal, the system, using the device and built-in sensors, collects primary information about sleep and, based on it, issues recommendations regarding diet, physical activity and lifestyle in general, and so on.

In a preferred embodiment of the device, the user's biophysical information is transmitted wirelessly to the electronic device using a radio modem via BlueTooth, Wi-Fi, or other suitable wireless means.

Information about the user's biophysical indicators can be transmitted to the backend of any electronic device (mobile phone, tablet, neo-laptop, etc.), be built into the smart home system, transmitted and stored in a virtual cloud.

The processing unit includes a central processor, modules for analog processing of the output signals of the piezo-sensitive tape and a tape bend sensor, and the modules for analog processing of the output signals of the piezo-sensitive tape and the tape bend sensor are connected to the central processor and the input to the analog-to-digital converter.

In another preferred embodiment of the device, a rechargeable battery (ABA) is built into the processor unit. In another preferred embodiment of the device, the processor unit has a USB port for supplying a 5 V supply voltage.

In another preferred embodiment of the device, an accelerometer is integrated into the processing unit.

The utility model will now be described with reference to the drawings: FIG. 1 - Volumetric model of a fragment of a double mattress with an installed device for recording human biophysical parameters during sleep, where 1 - a block of sensitive sensors, 2 - a processing block; fig. 2 - Option for placing blocks of sensitive sensors on a double mattress, top view, where 1 - block of sensitive sensors; fig. 3 - Classification of areas of the human body according to the size of the mattress.

A device for recording biophysical parameters of a person during sleep includes: a block of sensitive sensors, including at least one piezosensitive tape and at least one tape bend sensor; a processor unit, which includes: a central processing unit (CPU), which is a highly integrated microcircuit, analog signal processing modules of the declared sensitive sensors, a storage battery (battery), an accelerometer, and a radio modem.

A piezo sensitive tape, preferably from TE Connectivity, is made of PVDF and is used to detect the three main metrics of the device: heart rate, respiration rate and sleep phase (product name Sleep Monitor Strips).

The principle of operation of the piezo-sensitive tape is that when it is placed on the surface or inside the mattress, in the case when the tape is subjected to dynamic influences (respiratory movements, heart beats, body movements) from the user, an electric charge is generated proportional to the intensity of the impacts.

The total thickness of the strip is about 50 microns, which makes it extremely flexible and completely invisible when placed under the body.

Heartbeat and respiration are the most important physiological processes, the parameters of which determine the state of human health. In a healthy person, the pulse and breathing rates should be in a certain range, including during sleep. Continuous monitoring of these indicators makes it possible to detect potential health problems and make recommendations for adjusting diet, lifestyle, or warning the person to see a doctor. Such measures allow timely diagnosis of serious diseases, such as nocturnal orthopnea, snoring, cardiovascular diseases, diseases of the nervous system (panic attacks, restless legs syndrome), sleep disturbances and timely treatment. And also, information about the position of a person in a dream can identify or prevent diseases of the spine (for example, cervicothoracic osteochondrosis) in the early stages.

The bend sensor is a passive, preferably multi-channel, tape bend sensor manufactured by Flexpoint (Bend Sensor) and is designed to obtain information about the user's sleeping position. The proposed bending sensor is a tape - a film based on polyamide, in which sensing elements are built in, changing their resistance as the bending radius of the tape changes.

On one of the edges of the tape there are electrical contacts for connecting to the processor unit.

The position in a dream is understood as a horizontal position of the body on the bed that is stable in time, which is also called posture. There are four basic postures: on the back, on the left side, on the right side, on the stomach.

In addition to those listed, there are a number of secondary and intermediate postures.

The use of a flex sensor in a product and knowledge of sleeping positions has several practical applications: when the device is first connected, the flex sensor provides interactive information about which side of the bed the user is on, thereby linking the mobile application to the device; using the bend sensor, it is supposed to determine the number of night rises, which is the initial information for calculating more general metrics; in medical practice, there is an opinion that not every posture is harmless in terms of the effect on the spine and internal organs, therefore, knowledge about postures will allow users to be advised to take a more correct position in sleep.

The choice of the declared tape sensors for use in the proposed device for determining the indicators of respiration and heartbeat, movements and postures during sleep due to their advantages over other sensors used for this purpose (eg piezodiscs, MEMS sensors, pressure sensors, point sensors). The advantages include a large coverage area (it is convenient to stretch the tape sensor through the entire mattress), the absence of discomfort and inconvenience for the user (the tape with sensors is practically not felt), the absence of any negative radiation on the user's body, less labor-intensive and energy-consuming algorithms for processing output signals .

In addition to the above, the use of tape bend sensors allows you to most accurately record the movements and postures of the user during sleep.

Taking into account that the tape sensors themselves cannot function without a processor unit in which the signals from the sensors are received and processed, it can be concluded that these nodes are functional and constructive, and a device consisting of tape sensors connected by means of electrical contacts to the processor block is treated as a single device.

It is also proposed to use an additional sensor - an accelerometer in order to implement energy saving algorithms. The following approach to the implementation of energy saving is assumed: the accelerometer provides an opportunity not only to measure the acceleration along the three axes of Cartesian coordinates, but also to implement its own simple logic, for example, tracking the excess of the acceleration threshold along one or several axes. The result of such tracking is the formation of a logic level at a special output of the accelerometer chip. Thus, by setting a certain acceleration threshold, the central processing unit (CPU) can turn off the most energy-consuming components of the system, such as analog signal processing modules of the declared sensitive sensors and wait for a signal from the accelerometer, which will work at the moment when the user lies on the mattress.

The proposed device operates as follows.

The block of sensitive sensors for converting user movements into an analog electrical signal consists of a piezo-sensitive tape and a tape bend sensor.

The piezo-sensitive tape reacts to the user's micro-movements (respiratory movements, heart beats, body movements) and generates an electrical signal at the output proportional to the intensity of the corresponding influences, and then the electrical signal enters the processor unit, where the processes of matching, filtering and signal amplification take place.

The bend sensor, made in the form of a passive multi-channel tape sensor with built-in sensing elements, reacts to the pressure exerted by the user on the mattress, and forms resistance at the outputs, and the resistance changes as the radius of the bend of the tape changes. Then the output signals of the bend sensor are sent to the processor unit for the purpose of their switching.

In the accelerometer, the accelerations along the three Cartesian axes are converted into a digital code, then the output code enters the central processing unit (CPU) of the processor unit.

After analog signal processing of the declared sensitive sensors, the output signals are sent to the central processing unit (CPU), where they are digitally processed using an analog-to-digital converter (ADC).

The digitized signals are then transmitted to an electronic device (such as a smartphone) using a wireless communication module built into the central processing unit (CPU). For example, the wireless module is a 2.4 GHz radio modem that supports Bluetooth Low Energy technology.

Interaction is based on a client-server methodology, where the server is a peripheral device, and the client is a mobile application. The peripheral device implements the so-called services - logically separate information entities, including at least one characteristic, through which data is directly exchanged.

The processing unit includes a central processing unit (CPU), which is also associated with the following elements: non-volatile memory, which is a storage device in the form of a digital microcircuit designed to store system and/or user information; low-frequency quartz resonator - an electronic component - an additional source of clocking for the central processor, necessary for the operation of a real-time clock; elements that determine the configuration of the mattress: a set of two resistors, the installation of one of which determines the type of mattress (single or double), a set of two resistors, the installation of one of which determines the side of the mattress to which the device is tied at the factory (left or right); an indicator element controlled by the central processing unit (CPU) and designed to signal various statuses of the device; non-latching mechanical button designed for various user actions (calibration, hardware reset, etc.).

The device has the ability to work both from a rechargeable battery (ACB), which ensures autonomous operation of the device, and from an external source, and switching the power supply of the device from the battery to an external power source and vice versa (depending on whether an external source is connected) is carried out due to a special unit .

The charge is carried out at the expense of the charger (charger), to the status output of which an indicator element is connected, displaying the status of the charge.

The low voltage supply (5 V) for charging the built-in battery is provided via the USB port.

A node in the form of a voltage divider, the output of which is connected to the central processing unit (CPU), is designed to detect the presence of external power.

Next, the process of processing the electrical signal of the piezo-sensitive tape is considered.

At the hardware level, the analog signal goes through three stages of processing: matching - converting the charge generated by the sensor into an electrical voltage; anti-aliasing filtering to eliminate the effect of aliasing; amplification to increase the dynamic range of the signal.

The signal from the piezo-sensitive tape is fed to the pre-processing unit of the processor unit with zero gain.

From the output of the pre-processing block, the signal enters the filtering block.

The filtering unit is built on the basis of an active second-order filter according to the Sallen-Key scheme and is designed to suppress components with frequencies above 15 Hz in the output signal spectrum, which can significantly reduce the effect of network interference on the signal and eliminate the effect of aliasing. Because the filter has zero gain, it does not require a voltage reference. After filtering, the signal enters the amplification unit, designed to expand the dynamic range of the useful signal. The block is built on the basis of a non-inverting amplifier circuit based on an operational amplifier. Since the block input signal is biased, the feedback circuit is connected to the reference voltage.

After amplification, the signal is fed to the input of an analog-to-digital converter (ADC) built into the central processing unit (CPU). Further signal processing is performed by digital methods.

Next, the process of processing the electrical signal of the bend sensor is considered.

The bend sensor is connected to a pre-processing unit that converts the resistance of the segments into electrical voltage. Schematically, the block is implemented on the basis of a voltage divider, the number of which is determined by the number of sensor channels.

From the pre-processing unit, the signals enter the channel switching unit, which is an analog multiplexer that switches the signal from several inputs to one output in accordance with the state of the address inputs, which are set by the central processing unit (CPU).

From the output of the switching unit, the signal enters the matching unit, implemented according to the voltage follower circuit on the operational amplifier. After that, the signal is fed to an analog-to-digital converter (ADC) built into the central processing unit (CPU).

After analog processing, the signals of the used sensitive sensors are digitally processed using an ADC built into the central processing unit (CPU).

To calculate the pulse and respiration values, the signals go through several stages: a digital IIR (infinite impulse response filter) low-pass filter to suppress the pulse signal and isolate the respiration signal; calculation of the respiration spectrum by the fast Fourier transform (FFT) method in a window of 4096 points and calculation of its frequency from the maximum of the spectral component; digital IIR high-pass filter for respiration suppression; decomposition into experimental modes (according to the EEMD method), as a result of which the signal is decomposed into several components (modes). Thus, it is possible to get rid of noises and quite effectively implement the selection of the pulse signal against the background of the respiration signal remaining after the first stage; calculation of the spectrum of the pulse signal using the FFT method in a window of 4096 points and the calculation of the heart rate.

The methods of analog processing described above make it possible to obtain consistently correct calculated values of the pulse and respiration rates only under certain conditions: no network interference; lack of influence of the breathing process, significant movements and position in a dream; lack of influence of the mattress; no sudden micro movements.

Practice has shown a high degree of signal non-stationarity, that is, the variability of the signal shape both in amplitude and in time due to the factors listed above. Given the above, the system uses several additional steps to digitally process the arrays of pulse and respiration rates before the user sees the numerical values in the mobile application:

Discarding invalid values in a 10-measurement retrospective. The rejection criterion is going beyond the threshold equal to the average value in the specified window of 10 points. If the change in the current value modulo exceeds the threshold by 3 units, then the value is replaced by the average.

Multi-stage averaging of the obtained curve using a sliding window consisting of three points: the current point is taken, one previous and one subsequent value. If the change in the current value modulo exceeds the average by 0.1 units in the third point window, then it is replaced by the average.

The first step is implemented in the processor unit of the proposed device, and the second step - on the side of the mobile application.

Thus, the user has the opportunity to receive information about the indicators of the pulse rate and respiratory rate during sleep, and the device performs the function of alerting the user about the critical values of these indicators, for example, the pulse rate. The algorithm for determining sleep phases is based on data from a piezo-sensitive tape and involves counting movements per unit of time. If the signal of the piezo-sensitive tape exceeds a certain threshold, which occurs only during movements, then the movement is detected. The intensity of movement is the higher, the longer the signal of the piezo-sensitive tape is below the threshold value.

Information about the postures of the user during sleep is obtained based on the bend sensor signal. The process is as follows.

After digitization, the signal from the ADC samples is converted into resistance in accordance with the voltage divider formula. During an active sleep session, all sensor channels are periodically polled and measured values are stored in non-volatile memory, after which the data is transferred to a mobile application for further processing.

Preferred applications of the proposed device are as follows.

The device has the ability to be built into mattresses of various configurations, in particular single, double, children's, and various options for placing the declared sensitive sensors are possible and their variation in number (coordination with mattress manufacturers) and modifications (coordination with companies producing sensitive sensors) is possible. ).

To achieve the technical result, tape sensors in the form of thin films are used.

An embodiment of the integration of the proposed device into a double mattress is shown in Fig. 2, where it is shown that the blocks of sensitive sensors (1) are made as independent blocks for each bed.

In this version, there can be two processor units for each sensor unit, or it can be made in one housing with two sensor units connected.

In the preferred embodiment of the proposed device, the sensors are placed in a technical case and placed on a mattress. In another embodiment, the device is integrated into the mattress during manufacture. Moreover, the piezo-sensitive tape and the tape bend sensor can be glued together using an adhesive layer. Declared sensitive sensors in the form of tapes are connected to the processor unit, which consists of a plastic case, which houses the printed circuit board, battery, radio modem, and is located on the side of the mattress.

Next, the layout options for the placement of the declared sensitive sensors are considered.

In the preferred embodiment, for the correct determination of the pulse rate, the piezo-sensitive tape can be located in the three upper zones: the zone of the head, chest and lower back (Fig. 3). The most distinct signal is expressed in the region of the head and chest zones.

The piezo-sensitive tape can be located on the surface of the mattress, inside or under it. At the same time, if the sensor is located under the mattress, it is required to provide (select) such parameters of the analog signal processing module of the sensor that will provide the necessary signal level at the input of the central processing unit (CPU). *

Preferably, the flex sensor is placed on the mattress in the area of the user's chest.

Options with bending the sensor are allowed, but not recommended by the manufacturer, as this can lead to mechanical damage to the sensitive element.

Possible options for the location of the sensors: transverse location - when the tape sensor is located across the entire mattress or one bed (for a double mattress); diagonal arrangement - when the tape sensor is located at an angle to the vertical axis of the bed; longitudinal arrangement - when the tape sensor is located along (in the middle) of the bed.

The most preferred variant is the transverse arrangement of the sensors, when both sensors are located across the mattress in the chest area, and the processor unit is installed on the side of the mattress (Fig. 1).

When implementing the proposed device, it is possible to monitor a wide range of vital biophysical indicators of the user, high accuracy of their determination without a negative impact on the characteristics and properties of the mattress, reducing the complexity of embedding in mattresses of various categories and the possibility of distributing the device among a wide range of consumers.

Claims

Formula

1. A device for recording biophysical parameters of a person during sleep, including sensitive sensors connected to the processor unit, characterized in that a piezo-sensitive tape and a multi-channel bending tape sensor are used as sensors.

2. The device according to claim 1, characterized in that the processor unit includes a central processor, modules for analog processing of the output signals of the piezoelectric sensor and the bend sensor, and the modules for analog processing of the output signals of the piezoelectric sensor and the bend sensor are connected to the central processor and the input to the analog-to-digital converter.

3. The device according to claim. 1, characterized in that it contains a communication module with a mobile device, which is made in the form of a radio modem.

4. The device according to claim 1, characterized in that a rechargeable battery is built into the processor unit.

5. The device according to claim 1, characterized in that the processor unit has a USB port for supplying a 5 V supply voltage.

6. The device according to claim 1, characterized in that an accelerometer is built into the processor unit.