Eeg, ppg and MEMS data analysis module embeddable in a stereo headset

Abstract

The present technical solution relates to the field of computing. A device for measuring physiological parameters of a user on the basis of brain electroencephalogram and photoplethysmogram data and acceleration and angular velocity data comprises the following, connected to one another by a noise-immune cable: an electronic circuit board having the following modules arranged thereon: an analog-to-digital converter, a Real Time Clock (RTC) quartz resonator, a read-only memory, a Bluetooth communication module, an accelerometer, a gyroscope, and a module for capturing photoplethysmogram data from a photoplethysmogram sensor; two spring-loaded dry pogo pin electrodes in the form of a comb of spring-loaded gold-plated pin contacts; two spring-loaded dry pogo pin electrodes in the form of a comb of spring-loaded gold-plated pin contacts, which are mounted on springs; a spring-loaded dry pogo pin reference electrode (REF); two spring-loaded dry pogo pin ground electrodes (GND); a module for activating / deactivating the device; and a photoplethysmogram sensor, wherein the device is designed to be embeddable in an over-ear stereo headset.

Description

[0001] Stereo headset-integrated EEG, PPG, and MEMS data analysis module

[0002] AREA OF TECHNOLOGY

[0003] The utility model relates to the field of computer technology, in particular, to a device for measuring the physiological parameters of a user, based on data from an electroencephalogram of the brain, a photoplethysmogram, and acceleration and angular velocity data.

[0004] LEVEL OF TECHNOLOGY

[0005] The closest analogue of the present technical solution is the information source RU 222921 U1, published on 23.01.2024. This solution discloses a device for measuring the electroencephalogram of the brain, comprising, connected to each other by a noise-protected cable: an electronic board with the following located on it: an analog-to-digital converter with a sampling frequency of 250 Hz, a quartz resonator Real Time Clock (RTC), a read-only memory device and a Bluetooth communication module; four spring-loaded dry Pogo Pin electrodes in the form of a comb of pin spring-loaded gold-plated contacts; a dry spring-loaded reference electrode Pogo Pin: REF; two dry spring-loaded Pogo Pin electrodes: ground GND; an on / off module for measuring the electroencephalogram of the brain, wherein the device is designed with the possibility of being built into a full-size stereo headset.

[0006] The proposed technical solution addresses the shortcomings of current technology and differs from previously available solutions in that it allows for integration into any standard-sized stereo headset, using data from an electroencephalogram (EEG), a photoplethysmogram (PPG), and acceleration and angular velocity (AVR) to measure the user's physiological parameters. The proposed device is additionally equipped with an accelerometer, a gyroscope, and a PPG sensor. Additionally, the Pogo Pin design of the EEG electrodes enables high-quality and efficient data collection from hairy scalp areas without any prior preparation (saline and / or gel).

[0007] DISCLOSURE OF A UTILITY MODEL The objective of the claimed utility model is to develop a device for measuring the physiological parameters of a user, based on data from an electroencephalogram of the brain, a photoplethysmogram, and acceleration and angular velocity data.

[0008] The technical result of the claimed utility model is the expansion of the arsenal of technical means of the device.

[0009] The claimed technical result is achieved by means of a device for measuring the physiological parameters of the user, based on data from an electroencephalogram of the brain, a photoplethysmogram and data on acceleration and angular velocity, containing, connected to each other by a noise-protected cable: an electronic board with modules placed on it: an analog-to-digital converter, a Real Time Clock (RTC) quartz resonator, a read-only memory device, a Bluetooth communication module, an accelerometer, a gyroscope, a module for reading photoplethysmogram data from a photoplethysmogram sensor;

[0010] 2 spring-loaded dry PogoPin electrodes in the form of a comb of pin-shaped spring-loaded gold-plated contacts;

[0011] 2 spring-loaded dry PogoPin electrodes in the form of a comb of pin-shaped spring-loaded gold-plated contacts mounted on springs; dry spring-loaded reference electrode PogoPin: REF;

[0012] 2 dry spring-loaded PogoPin electrodes: GND; on / off module for measuring the brain's electroencephalogram, photoplethysmogram, acceleration and angular velocity data; photoplethysmogram sensor; the device is designed to be integrated into a full-size stereo headset.

[0013] BRIEF DESCRIPTION OF DRAWINGS

[0014] The utility model will be more understandable from a description that is not limiting in nature and is given with reference to the accompanying drawings, which depict:

[0015] Fig. 1 illustrates an example of a device built into a full-size stereo headset. Fig. 2 illustrates a device for measuring the user's physiological parameters based on electroencephalogram (EEG) data, photoplethysmogram (PPG), and acceleration and angular velocity data.

[0016] IMPLEMENTATION OF THE UTILITY MODEL

[0017] The detailed description of the utility model implementation below includes numerous implementation details intended to provide a clear understanding of the present utility model. However, a person skilled in the art will readily understand how the present utility model can be used, both with and without these implementation details. In other instances, well-known methods, procedures, and components have not been described in detail to avoid unnecessarily obscuring the features of the present utility model.

[0018] Furthermore, it will be clear from the foregoing discussion that the utility model is not limited to the implementation described. Numerous possible modifications, alterations, variations, and substitutions, while preserving the essence and form of the present utility model, will be obvious to those skilled in the art.

[0019] This technical solution is a single, stand-alone device for measuring the user's physiological parameters based on data from the electroencephalogram of the brain, photoplethysmogram, and acceleration and angular velocity data.

[0020] The device can be integrated into any full-size, standard stereo headset. A particular example is the Neiry Headphones Pro.

[0021] This technical solution has the following positive technical effects.

[0022] - Thanks to the design of the movable spring-loaded PogoPin electrodes for collecting the EEG signal, as well as the movable spring-loaded PogoPin electrodes mounted on springs, high-quality and effective data collection is achieved from areas of the head covered with hair, without any preliminary preparation (use of saline and / or gel).

[0023] The design of the movable, spring-loaded PogoPin EEG electrodes, mounted on springs, ensures comfortable and extended use for the user. The placement of the EEG electrodes at the C3 / C4 / A1 / A2 and reference CZ positions ensures high-quality EEG signal acquisition, with reliable detection of Alpha and Beta brain rhythms.

[0024] - The use of additional photoplethysmogram (PPG) modules and microelectromechanical systems (MEMS, gyroscope and accelerometer) allows for enrichment of physiological data, a more advanced classification of psychophysiological states and expansion of the arsenal of technical means of the declared device.

[0025] - The existing implementation allows for the integration of EEG analysis and PPG data analysis modules into any full-size stereo headset (standard type).

[0026] The device is designed to be placed on the user's head and used in conjunction with software installed on a computing device or telephone, and allows for the recording of measured physiological parameters: an electroencephalogram of the brain, a photoplethysmogram, and gyroscope-accelerometer data in real time.

[0027] The device connects to the end device via Bluetooth and transmits the collected data. User software then receives, filters, and classifies the data, converting it into user-friendly metrics.

[0028] Fig. 1 illustrates an example of a device built into a full-size stereo headset. pos. 101 - electronic board; pos. 102 - dry electrode PogoPin: A1; pos. 103 - dry electrode PogoPin: ground GND; pos. 104 - dry electrode PogoPin: C3; pos. 105 - dry electrode PogoPin: REF;

[0029] Item 106 - dry electrode PogoPin: C4; Item 107 - dry electrode PogoPin: ground (GND); Item 108 - dry electrode PogoPin: A2; Item 109 - on / off module; Item 110 - PPG sensor.

[0030] Fig. 2 illustrates the claimed device. pos. 101 - electronic board; pos. 102 - dry electrode PogoPin: A1; pos. 103 - dry electrode PogoPin: ground (GND); pos. 104 - dry electrode PogoPin: C3; pos. 105 - dry electrode PogoPin: REF;

[0031] Item 106 - dry electrode PogoPin: C4; Item 107 - dry electrode PogoPin: ground GND; Item 108 - dry electrode PogoPin: A2; Item 109 - on / off module; Item 110 - PPG sensor.

[0032] All components of the device are connected via a noise-protected cable with low input impedance. The device is a single unit and is not separated from each other. The same battery as the stereo headset can be used to power the device (connection can be made during installation).

[0033] The electronic board implements the following functional capabilities.

[0034] 1. Obtaining an electroencephalogram (EEG). The signal is recorded by digitalizing the signal with the ADC module at a frequency of 250 Hz, from the leads, which are dry PogoPin electrodes (5 pin: A1 (102), C3 (104), C4 (106), A2 (108)) in the form of a comb of pin spring-loaded gold-plated contacts, as well as 2 ground electrodes (GND (103, 107)) and a reference electrode (REF (105)), which are also dry PogoPin electrodes. 2 spring-loaded dry PogoPin electrodes in the form of a comb of pin spring-loaded gold-plated contacts, mounted on springs (electrodes C3, C4). The electrodes are located according to the extended electrode arrangement scheme, according to the 10-20 system. The designation of channel names is strictly regulated by the International Federation of Clinical Neurophysiology.

[0035] 2. Obtaining a photoplethysmogram,

[0036] Obtaining a photoplethysmogram by digitalizing the reflected signal in the red or infrared ranges from the PPG sensor (110) located in the right temporal region using the PPG module.

[0037] 3. Acquiring microelectromechanical systems data by digitizing the data from the gyroscope and accelerometer with a MEMS module to analyze acceleration and angular velocity along three orthogonal axes.

[0038] 4. Transmission of collected and packaged data via a BLE 5.0 communication module to a computing device (e.g., a mobile phone and / or personal computer). The device for measuring physiological parameters has a single on / off button for simultaneously activating the neuroamplifier electronic board and the stereo headset. For synchronization purposes, an on / off module (109) connected to the neuroamplifier electronic board and the stereo headset board is used.

[0039] The device for measuring physiological parameters supports the following operating modes:

[0040] - resistance measurement - to determine the quality of electrode adhesion,

[0041] - sending values ​​of the built-in battery charge,

[0042] - measurement of data (EEG signal, PPG signal, gyroscope and accelerometer data),

[0043] - charging and completion of charging of the device.

[0044] This technical solution is implemented as follows.

[0045] After pressing the device's power button, located on the on / off and contact closure module board, the battery simultaneously supplies reference voltage to the neuroamplifier's electronic board and its modules, as well as to the stereo headset board. All modules are initialized, and then the firmware is read from the ROM module, which subsequently controls the device's operation.

[0046] In the "default" mode, the device is ready for operation and mode switching (impedance measurement, simultaneous measurement of impedance and EEG, PPG, MEMS sensor signals, measurement of EEG, PPG, MEMS sensor signals).

[0047] To put the device into pairing mode with a personal computer or mobile device, press and hold the power button for 2 seconds. This will launch the firmware pairing mode and activate the corresponding Bluetooth module mode.

[0048] After pairing via Bluetooth with a target device (personal computer or mobile device), its Bluetooth MAC address will be transferred by the Bluetooth module to the ROM chip and stored (for up to 10 devices). This means that pairing will not be necessary the next time the device is turned on.

[0049] Reactivation and deactivation are performed by holding the power button for 1 second. In impedance measurement mode, the ROM, ADC, RTC (quartz resonator), and Bluetooth modules are activated, and the potential difference between the target (C3, C4, A1, A2) and reference (REF) electrodes is measured to determine the quality of electrode-skin contact. Measurement results are transmitted via the Bluetooth module to the target device in kiloohms.

[0050] In EEG signal measurement mode, the ROM, ADC, RTC (quartz crystal resonator), and Bluetooth modules are activated, and the potential difference between the target and reference electrodes is measured. The ADC polls the target electrodes at a frequency of 250 Hz, and this data is then sent to the Bluetooth module for transmission to the target device.

[0051] In PPG signal measurement mode, the ROM, ADC, RTC (quartz crystal resonator), and Bluetooth modules are activated, and the reflected light in the red or infrared ranges coming from the PPG sensor is measured at a frequency of 100 Hz. This data is then sent to the Bluetooth module for transmission to the target device. PPG (photoplethysmography) is a method of measuring blood volume in vessels using light emission. PPG operates on the principle of determining tissue density.

[0052] The PPG sensor is connected to the PPG module and the general electronic board of the device, and is designed to: receive information, send data to the electronic board, and then send it to the target device.

[0053] The PPG sensor includes internal LEDs that can operate in both red and infrared ranges, a photodetector, and low-noise electronics with external light suppression.

[0054] The device uses a type of sensor that measures reflected light.

[0055] In the MEMS sensor signal measurement mode, the ROM, ADC, RTC (quartz resonator), and Bluetooth modules are activated and position measurements are taken along three orthogonal axes. This data is then sent to the Bluetooth module for transmission to the target device.

[0056] The device supports simultaneous EEG, PPG, and MEMS data measurement. In this case, the firmware activates the ROM, ADC, RTC (quartz crystal oscillator), Bluetooth, PPG, and MEMS modules. In this case, all allocated space in the Bluetooth data packet will be occupied.

[0057] Switching modes is accomplished by sending commands to the device via Bluetooth. If the device is turned on and in standby mode (no measurement mode selected), the firmware will automatically shut down after 15 minutes to conserve battery power.

[0058] The neural interface with a built-in neural amplifier is based on a Texas Instruments ADS 1294 ADC with a sampling rate of 250 Hz, with leads C3, C4, A1, and A2 (according to the international 10 / 20 scheme), a PPG signal analysis module, and a MEMS module for analyzing acceleration and angular velocity along three orthogonal axes. The device includes a BLE 5.0 communication module.

[0059] To record EEG signals, the device uses dry electrodes (5 pins: C3, C4, A1, A2) in the form of an array of gold-plated spring-loaded pin contacts (PogoPins) located on a circular base, two of which are additionally mounted on springs. Ground electrodes (GND) are located on the earcups, and the reference electrode (REF) is located on the temple, also consisting of a circle of gold-plated spring-loaded pin contacts (PogoPins). The electrodes are arranged according to an extended electrode arrangement scheme, according to the 10-20 system: C3, C4, A1, A2. Channel names are strictly regulated by the International Federation of Clinical Neurophysiology.

[0060] To register PPG signals, the device uses an integrated PPG system that combines the functions of a Heart Rate monitor and a pulse oximeter by using a LED and a photodetector operating in two modes: infrared and red spectra.

[0061] To control the movement of the device in space, an integrated MEMS system is used, combining a gyroscope that determines angular velocities along three orthogonal axes and an accelerometer that determines acceleration along three orthogonal axes.

[0062] The device has one on / off button, one charging port, and two LEDs—green and red—to indicate operating modes. When turned off, the device is completely de-energized and consumes no energy.

[0063] The device for measuring physiological parameters supports the following operating modes:

[0064] - impedance measurement - to determine the quality of electrode adhesion,

[0065] - simultaneous measurement of impedance and sending of EEG, PPG, gyroscope and accelerometer data,

[0066] - sending values ​​of the built-in battery charge, - measuring data (EEG signal, PPG signal and gyroscope and accelerometer data),

[0067] - charging and completion of charging of the device.

[0068] After launching the user application and authorization (user registration is required), the software searches for a device ready for connection via Bluetooth. If such a device is found, the electrode placement quality is checked by measuring the impedance. If the quality is satisfactory and the resistance readings for each electrode are less than 1000 kOhm, the device can switch to EEG and PPG recording mode.

[0069] In the EEG physiological data acquisition mode, the device conducts polls at a frequency of 250 Hz for each electrode. When collecting 8 readings, they are packed into a BLE packet and sent via a Bluetooth communication channel to the target device running the software.

[0070] For PPG data, the device polls at a frequency of 100 Hz and sends the data in the same BLE packet over the Bluetooth channel as the EEG data.

[0071] These application materials present a preferred disclosure of the implementation of the claimed technical solution, which should not be used as limiting other, particular embodiments of its implementation that do not go beyond the scope of the requested scope of legal protection and are obvious to specialists in the relevant field of technology.

Claims

Formula 1. A device for measuring the physiological parameters of a user, based on data from an electroencephalogram of the brain, a photoplethysmogram, and acceleration and angular velocity data, comprising, connected to each other by a noise-protected cable: an electronic board with modules placed on it: an analog-to-digital converter, a Real Time Clock (RTC) quartz resonator, a read-only memory device, a Bluetooth communication module, an accelerometer, a gyroscope, a module for reading photoplethysmogram data from a photoplethysmogram sensor; 2 spring-loaded dry PogoPin electrodes in the form of a comb of pin-shaped spring-loaded gold-plated contacts; 2 spring-loaded dry PogoPin electrodes in the form of a comb of pin-shaped spring-loaded gold-plated contacts mounted on springs; dry spring-loaded reference electrode PogoPin: REF; 2 dry spring-loaded PogoPin electrodes: GND; device on / off module; photoplethysmogram sensor; the device is designed to be integrated into a full-size stereo headset.

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