AI-POWERED WEARABLE NEUROPHYSIOLOGICAL PATTERN ANALYSIS AND MASSAGE / THERAPY ACTIVATION SYSTEM THAT PROCESSES EEG AND EMG BIOSIGNALS TOGETHER.

Abstract

The invention relates to an AI-powered wearable neurophysiological pattern analysis and massage / therapy actuation system that processes EEG and EMG biosignals together. The system comprises a wearable headband unit (1), EEG sensors (2), EMG sensors (3), massage / therapy actuators (4), data acquisition and preprocessing unit (5), central processing unit (6), AI analysis and decision module (7), massage / therapy driver circuit (8), wireless communication module (9), power supply (10), and a mobile device and application interface (11). Biosignals from the EEG sensors (2) and EMG sensors (3) are collected, digitized, noise-free, and normalized in the data acquisition and preprocessing unit (5).The processed biosignals are transferred from the central processing unit (6) to the artificial intelligence analysis and decision module (7); here, EEG and EMG data are evaluated together to classify neurophysiological patterns associated with pain and to generate control data for the massage / therapy protocol. This control data is transmitted to the massage / therapy actuators (4) via the massage / therapy driver circuit (8), and the system data is transmitted to the mobile device and application interface (11) via the wireless communication module (9).

Description

1 TARIFF ARTIFICIAL INTELLIGENCE THAT PROCESSES EEG AND EMG BIOSIGNALS TOGETHER. SUPPORTED WEARABLE NEUROPHYSIOLOGICAL PATTERN ANALYSIS AND MASSAGE / THERAPY ACTIVATION SYSTEM TECHNICAL FIELD The invention falls within the technical field of biomedical measurement and wearable electronic systems. related to; electroencephalography (EEG) and electromyography (EMG) Detection, collection, preprocessing of biosignals and AI-assisted It relates to systems for analyzing EEG 10. More specifically, the invention concerns systems for analyzing EEG 10. Data collection and analysis of biosignals obtained from sensors and EMG sensors. the transfer of data from the processing unit to the central processing unit, The combined evaluation of biosignals in an artificial intelligence analysis and decision module, Based on this evaluation, massage / therapy actuators and massage / therapy drivers Control via the circuit and system data wireless communication module 15 configured for transfer to the mobile device and application interface via with a wearable neurophysiological pattern analysis and massage / therapy actuation system It is related. STATE OF THE ART 20 In the assessment of pain and muscle-related disorders, the individual's pain level is evaluated. from subjective statements regarding the intensity and location of the pain In addition, electroencephalography (EEG) is used to examine the brain. electrical activity of muscles, electromyography (EMG) Systems for measuring its measurement are known. However, EEG and EMG 25 biosignals are distinct in the evaluation of physiological changes associated with pain. separate use, integrated data from different physiological sources This limits its evaluation. The known technique involves determining the pain level from EEG data. There are various studies. For example, 30 with the number US2023293100A1. The document describes power measurements in the theta-alpha frequency band of EEG data. a computer-based system for determining a person's pain level using The method is explained in document number US2023284961A1, which describes EEG. from power measurements of the theta-alpha and delta-theta frequency bands in the data 2 using this to determine depth of consciousness and pain level The approach is explained. The basis for pain assessment in these techniques is... The biophysiological data source consists of EEG data. Pain assessment and intervention selection using EEG signals. The systems it is associated with are also known. US20140276188A1 number 5 the document includes EEG signals and the individual's self-assessment of pain a system for measuring pain, discomfort and anxiety using is explained and the appropriate application is determined based on the real-time monitoring results. It is anticipated that it will be selected. Similarly, in document number CN114712706A EEG data is collected and an electrical stimulation is applied based on that data. 10 an EEG-based fatigue intervention where the instruction is matched by the processor The system is explained. In EMG-based applications, muscle activity is detected and related... Solutions exist for applying physical or electrical stimulation. The document numbered WO2022059819A1 describes a surface electromyography sensor 15. using and determining the state of fatigue and drowsiness Application of personalized microcurrent electrical stimulation depending on the situation. This is explained. The biosignal source used in this approach is sEMG. The procedure involves electrical stimulation in response to fatigue and drowsiness. It is directed towards. 20 In terms of head-mounted or wearable systems, there are also different sensors and Actuator configurations are known. For example, the one with the number CN213189653U. The document lists EEG electrodes, microphone, speaker, control and analysis modules. A wearable EEG signal acquisition headband is described, which includes a known... The technique also includes motorized devices that perform mechanical massage on the head area and 25 There are systems that apply physical stimulation to different areas of the head. Document EP3944257A1 describes near-brain infrared technology used to target the user's brain. By sending light, the hemoglobin oxygen level can be measured from the resulting measurements. Determining and measuring brain activity and analyzing it using artificial intelligence. It relates to the following: Document number WO2020056418A1 concerns a subject's sleep 30 by inducing brain activity patterns associated with the condition in another subject; Document number WO2019060298A1 is a brainwave sample obtained from an individual. patterns of another person's brain activity with various stimuli It is related to its use in synchronization. Number WO2021026400A1 3 The document reflects brain activity or emotional state based on biometric input. determination and control of the camera system according to the determined situation A structure aimed at this is being described. In the known techniques; EEG-based pain assessment, EMG-based muscle assessment. Activity measurement, computer processing of biosignals, artificial intelligence 5 Evaluation of physiological data using wearable headgear structures and physical or electrical actuation applications are used in different systems This is observed. However, different results obtained from EEG and EMG sensors... biosignals of this nature within the same data collection and preprocessing architecture processing of the data within an AI-powered analysis and decision-making framework. joint evaluation and physical assessment based on the resulting evaluation massage / therapy actuation within the same wearable system architecture In terms of implementation, known practices remain limited. Therefore, in the technical field, EEG obtained from different physiological sources is used. and the evaluation of EMG biosignals in a common data processing chain and 15 The data and control link between the analysis result and the physical actuation is the same. a technical requirement for its establishment within the system architecture It is located. THE TECHNICAL PROBLEM WE AIM TO SOLVE IS 20. In the known state of the technique, pain and muscle-related physiological changes Most of the EEG and EMG biosignals used in the evaluation are separate. These data, obtained from different physiological sources, should be considered separately within the same system. This limits the simultaneous and integrated processing of data within the existing system. In addition, systems that only measure or visualize biosignals can have 25 This is sufficient; automatic preprocessing of EEG and EMG data, together. analysis and the resulting neurophysiological patterns within the system conversion to control output within an integrated structure This is not possible. In current practices, the matching of EEG and EMG data is not feasible. Pain source assessment and personalized 30-day analysis It is noted that integrated systems providing guidance are limited. The main technical problem that this project aims to solve is EEG. brain electrical activity obtained from sensors from biosignals to muscle electrical activity obtained from EMG sensors 4 the collection of related biosignals within the same wearable system architecture, noise removal and processing; of different natures biosignals together within an AI-powered analysis and decision-making structure evaluation and the physical output of the evaluation 5 that enables it to be used in the control of massage / therapy actuators It is about creating an integrated data processing and actuation structure. The invention also includes a data acquisition and preprocessing unit, a central processing unit, artificial intelligence analysis and decision module, massage / therapy driver circuit and massage / therapy Establishing data and control flow between actuators within a single system; analysis results are transmitted to mobile devices and applications via a wireless communication module. 10 the ability to transfer EEG and EMG data to the interface and over time providing a suitable technical infrastructure that allows for comparison while storing data. The problems are being addressed. BRIEF DESCRIPTION OF THE INVENTION 15 The invention is based on the combined evaluation of EEG and EMG biosignals. AI-powered wearable neurophysiological pattern analysis and massage / therapy It relates to the actuation system. Within the scope of the invention, EEG and EMG biosignals obtained from the user They are processed together and, through an AI-powered analysis structure, 20 pain-related data are analyzed. Neurophysiological patterns are being evaluated. The evaluation performed... The operating mode of the massage / therapy actuators is determined accordingly, and the system Data generated by [the company / individual] is displayed on the mobile device and application interface. is being transferred. The invention involves the evaluation of EEG and EMG biosignals in separate systems. 25 instead, neurophysiological and muscular processes are processed together within the same system architecture. enabling integrated evaluation of data related to its activity It provides a structure. The system also provides EEG and EMG data over time. suitable for storing and comparatively evaluating data It includes infrastructure. 30 The advantages of the invention are listed below:  Brain analysis through the combined use of EEG and EMG biosignals electrical activity and data relating to muscle electrical activity are the same. It allows for integrated evaluation within the system.  Biosignals obtained through the artificial intelligence analysis and decision module It enables automatic processing and classification.  The system determines the massage points and application sequence based on the analysis results. It allows it to be determined by them.  Analysis data is provided to the user via mobile device and application interface 5 to transmit and provide visual and / or auditory guidance It provides an opportunity.  Storing personal EEG and EMG data obtained over time and allows comparison with previous data.  Physiological changes observed in long-term EEG and EMG data a decision to evaluate the changes comparatively It provides support infrastructure.  Thanks to the wearable headpiece unit, the system is portable. It enables its use.  Thanks to the automatic processing of EEG and EMG data, 15 It contributes to the standardization of the evaluation process.  Thanks to its wearable design that can be adapted to different users, it can accommodate different head sizes. This allows for adaptation to their structures and user groups. LIST OF FIGURES 20 Figure 1. Perspective View of the Wearable Headpiece Unit. Figure 2. Rear view of the wearable headpiece unit. Figure 3. Communication Flow of EEG and EMG Biosignals with Mobile Device. Showing System Block Diagram The Definitions of the Numbers in the Figures 1. Wearable Head Unit 2. EEG Sensors 3. EMG Sensors 4. Massage / Therapy Actuators 30 5. Data Collection and Preprocessing Unit 6. Central Processing Unit 7. Artificial Intelligence Analysis and Decision Module 8. Massage / Therapy Driver Circuit 6 9. Wireless Communication Module 10. Power Supply 11. Mobile Device and Application Interface DESCRIPTION OF THE FIGURES 5 Figure 1 shows the perspective of the wearable headpiece unit (1) on the user's head. its appearance; the EEG sensors (2) located on the wearable headpiece unit (1), Placement of EMG sensors (3) and massage / therapy actuators (4) It shows. Figure 2 shows the rear view of the wearable headpiece unit (1); EEG sensors 10 (2), wearable headgear with EMG sensors (3) and massage / therapy actuators (4) It shows the placement on unit (1). Figure 3 shows the data of biosignals received from EEG sensors (2) and EMG sensors (3). collection and preprocessing unit (5), central processing unit (6) and artificial intelligence analysis and processing with decision module (7); generated control data massage / therapy 15 to transmit through the driver circuit (8) to the massage / therapy actuators (4) and the system's wireless communication module (9), power supply (10) and mobile device and Block diagram of the connection structure between the application interface (11) It shows. DETAILED DESCRIPTION OF THE INVENTION The invention is an AI-powered system that processes EEG and EMG biosignals together. wearable neurophysiological pattern analysis and massage / therapy actuation system It is related to the system; wearable headpiece unit (1), EEG sensors (2), EMG sensors (3), massage / therapy actuators (4), data collection and preprocessing unit (5), central 25 Processing unit (6), artificial intelligence analysis and decision module (7), massage / therapy driver circuit (8), wireless communication module (9), power supply (10) with mobile device and It includes the application interface (11). The wearable headpiece unit (1) houses the EEG sensors (2), EMG sensors (3) and It is the physical structure that carries the massage / therapy actuators (4) above the user's head. 30 The wearable headpiece unit (1) will fit ergonomically to the head shape and different It is designed to be adapted to the user's mindset. EEG sensors (2) provide information about the user's brain electrical activity. wearable headgear unit (1) for receiving biosignals 7 EEG sensors (2) are positioned and obtained from different regions of the head. Brainwaves constitute one of the neurophysiological data inputs of the system. In EEG measurements, the frontal region is measured using electrodes Fp1, Fp2, F3, F4, F7, and F8. Locations of temporal region T3 (T7), T4 (T8), T5 (T9) and T6 (T10) electrodes Locations: Parietal region P3 and P4 electrodes; Occipital region O1 and O2 5 electrode positions and central region via C3, C4 and Cz electrode positions can be evaluated. Signals received from the frontal lobe are related to attention, decision-making, Impulse control and emotions; signals from the temporal region are related to memory, language, and Auditory perception; signals received from the parietal region constitute sensory perception, spatial perception. awareness and body perception; signals received from the occipital region affect the visual cortex 10 activity and signals received from the central region are related to motor cortex activity. It includes neurophysiological data. Alpha waves in the occipital region are 8-13 Hz. It can be clearly observed within this range. EMG sensors (3) provide information about the user's muscle electrical activity. 15 on the wearable headpiece unit (1) to receive biosignals EMG sensors (3) are positioned to measure muscle tension and muscle activity. data are obtained and said data are obtained from EEG sensors (2) It is evaluated within the system along with neurophysiological data. Thus, EEG data relating to brain electrical activity and muscle electrical activity EMG data related to the same system are two complementary biosignal inputs. 20 It is used as such. obtained from EEG sensors (2) and EMG sensors (3) Biosignals are transferred to the data collection and preprocessing unit (5). Data collection and preprocessing unit (5) collects raw analog signals from sensors, It digitizes and removes noise. The obtained EEG and EMG 25 The signals are normalized as part of preprocessing before being sent for subsequent analysis. It is being converted to a suitable data structure. EEG and EMG processed in the data collection and preprocessing unit (5) The biosignals are transmitted to the central processing unit (6). The central processing unit (6), managing the data flow within the system, data collection and preprocessing unit (5) 30 data communication between the artificial intelligence analysis and decision module (7) performs and obtains from the artificial intelligence analysis and decision module (7) It ensures that control data is transferred to the relevant output units of the system. Central processing unit (6), massage / therapy driver circuit (8) and wireless communication 8 physical and digital output stream of the system in connection with module (9) He / She is managing. Artificial intelligence analysis and decision module (7), pre-processed EEG and It is a system component that evaluates EMG biosignals together. Artificial intelligence analysis. and decision module (7), neurophysiological and muscular 5 associated with pain in EEG and EMG data. analyzing patterns related to activity and the data in question It classifies. Made by the artificial intelligence analysis and decision module (7). Based on the assessment results, pain type and possible clinical conditions can be associated with it. control of analysis data and the corresponding massage / therapy protocol. data is being generated. 10 Massage / therapy generated by artificial intelligence analysis and decision module (7) The protocol is to operate the massage / therapy actuators (4) to the head area and It includes control data regarding the application sequence. Thus, EEG Data obtained from the sensors (2) and EMG sensors (3) are only for measurement It is not stored as data, but is used in physical actuation control within the same system. 15 It is converted into usable data. The massage / therapy driver circuit (8) receives control from the central processing unit (6). According to the data, electronic devices that drive massage / therapy actuators (4) It is a circuit. The massage / therapy driver circuit (8) receives from the central processing unit (6). low voltage control commands to operate massage / therapy actuators (4) 20 It converts them into suitable electrical driving signals. Massage / therapy actuators (4) are physically mounted on the wearable head unit (1). They are positioned in head regions such as the temple area where actuation will be applied. Massage / therapy actuators (4) are controlled by the artificial intelligence analysis and decision module (7). control transmitted via the protocol created and the central processing unit (6) 25 will apply vibration and / or pressure to the relevant areas of the head depending on the data. It is structured. In this way, starting from EEG sensors (2) and EMG sensors (3) biosignal data stream; data collection and preprocessing unit (5), central processing unit (6) and processed through the artificial intelligence analysis and decision module (7); 30 created control data through massage / therapy driver circuit (8) is transmitted to its actuators (4). Wireless communication module (9), system interface with mobile device and application. (11) provides data communication between them. Wireless communication module (9), 9 via Bluetooth and / or Wi-Fi communication connection by the system transfer of generated data to mobile device and application interface (11) It provides. Mobile device and application interface (11), artificial intelligence analysis and decision module Digital 5 where the analysis data generated by (7) is presented to the user. It is the interface. Analysis results via mobile device and application interface (11) is displayed and visual and / or auditory guidance is provided to the user. It is presented. The system processes the user's EEG and EMG data over time. storage and EEG and EMG data obtained at different times 10 It is structured in a way that allows for comparative evaluation. over time, the user's neurophysiological and muscle activity data A data infrastructure is being created that will allow us to track the changes that occur. Changes in long-term data are associated with neurological conditions. 15 as decision support data in evaluating possible physiological changes It can be used in this context; neurological diseases such as Parkinson's, epilepsy and Alzheimer's. EEG and physiological changes over time that may be associated with disorders To support a decision regarding monitoring using EMG data. It will be available for use. Power supply (10), wearable head unit (1) and 20 included in the system rechargeable energy that meets the electrical energy needs of electronic components. It is the unit. The power supply (10) enables the system to operate in a portable and wireless manner. It is properly arranged. The invention involves the combined use of EEG and EMG biosignals. 25 different types of brain electrical activity and muscle electrical activity The data is collected and processed within the same data processing architecture. artificial intelligence analysis and decision-making of the processed biosignals. joint evaluation in module (7), control based on this evaluation data to massage / therapy actuators via massage / therapy driver circuit (8) (4) transfer and generated data on mobile device and application interface (11) 30 through the presentation of measurement, data processing, analysis, physical actuation and digital data transfer. They are integrated within the same system architecture.

Claims

REQUESTS 1. AI-powered wearable device that processes EEG and EMG biosignals together. It is a neurophysiological pattern analysis and massage / therapy actuation system. Feature; 5 - EEG sensors (2), EMG sensors (3) and massage / therapy wearable headgear that carries its actuators (4) on the user's head unit (1), - to obtain biosignals relating to the user's brain electrical activity EEG 10 positioned on the wearable headpiece unit (1) sensors (2), - to obtain biosignals relating to the electrical activity of the user's muscles EMG positioned on the wearable head unit (1) sensors (3), - Physical actuation will be applied on the wearable head unit (1) 15 positioned in the head regions and artificial intelligence analysis and decision protocol created by module (7) and central processing unit (6) Depending on the control data transmitted via the head, the relevant massage / therapy that applies vibration and / or pressure to specific areas actuators (4), 20 - obtained from EEG sensors (2) and EMG sensors (3) raw analog signals from sensors are transmitted as biosignals. collecting, digitizing, and noise-removing the resulting EEG and data that normalizes EMG signals as part of preprocessing. collection and pre-processing unit (5), 25 - Managing data flow within the system, data collection and preprocessing. data between unit (5) and artificial intelligence analysis and decision module (7) communication is carried out by the artificial intelligence analysis and decision module. (7) the control data obtained are sent to the relevant output units of the system Central processing unit (6) which enables the transfer, 30 - pre-processed EEG and EMG biosignals together evaluating pain-related findings in EEG and EMG data. Analyzing neurophysiological and muscle activity patterns and speech 11 the subject is pain, which is classified by the data and evaluated as a result of the assessment. type and analytical data that can be associated with possible clinical conditions check regarding the corresponding massage / therapy protocol data generated and the massage / therapy protocol in question to the head area where the massage / therapy actuators (4) will be operated and 5 AI analysis that includes control data regarding the execution sequence. and decision module (7), - according to the control data it receives from the central processing unit (6) central and enables the driving of massage / therapy actuators (4) low voltage control commands from the processing unit (6) 10 electrical suitable for operating massage / therapy actuators (4) massage / therapy driver circuit (8) which converts driving signals into driving signals, - data between the system and the mobile device and application interface (11) Wireless communication module (9) that enables communication, - wearable head unit (1) and electronic 15 within the system rechargeable energy that meets the electrical energy needs of the components power supply unit (10) and - analysis generated by artificial intelligence analysis and decision module (7) mobile device and application interface where data is presented to the user (11) includes. 20 2. Artificial intelligence that processes EEG and EMG biosignals together, according to Claim 1. Supported wearable neurophysiological pattern analysis and massage / therapy actuation. It is a system and its feature is that the wearable head unit (1) is designed to fit the head structure. It will fit ergonomically and accommodate the head shapes of different users. It is designed to be adaptable. 25 3. Artificial intelligence that processes EEG and EMG biosignals together, according to Claim 1. Supported wearable neurophysiological pattern analysis and massage / therapy actuation. It is a system and its feature is; muscle tension and muscle with EMG sensors (3) obtaining data on activity and using said data on EEG System 30 with neurophysiological data obtained from its sensors (2) It is evaluated within this context.

4. Artificial intelligence that processes EEG and EMG biosignals together, according to Claim 1. Supported wearable neurophysiological pattern analysis and massage / therapy actuation. 12 It is a system and its feature is that it has massage / therapy actuators (4), wearable head one of the head regions on which physical actuation will be applied on unit (1) It is located in the temple area.

5. Artificial intelligence that processes EEG and EMG biosignals together, according to Claim 1. Supported wearable neurophysiological pattern analysis and massage / therapy actuation 5 It is a system and its feature is the wireless communication module (9), Bluetooth and / or Data generated by the system via Wi-Fi communication connection. It enables transfer to the mobile device and application interface (11).

6. Artificial intelligence that processes EEG and EMG biosignals together, according to Claim 1. Supported wearable neurophysiological pattern analysis and massage / therapy actuation 10 It is a system and its feature is; mobile device and application interface (11), analysis where the results are displayed and the user is provided with visual and / or auditory feedback. mobile device and application interface where directions are presented (11) It is the fact that.

7. Artificial intelligence that processes EEG and EMG biosignals together according to claim 15 Supported wearable neurophysiological pattern analysis and massage / therapy actuation. It is a system whose feature is that it records the user's EEG and EMG data over time. stored inside and EEG and EMG obtained at different times a structure suitable for comparative evaluation of data It includes. 20 30

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