SENSOR-NEURAL INTEGRATION AND CONTROL SYSTEM FOR BIONIC LIMBS

Abstract

This invention is developed in the field of medical technologies, especially for individuals who have undergone amputation. bionic limbs and the feedback system that enables their integration with the nervous system. It is related to systems.

Description

1 TARIFF SENSOR-NEURAL INTEGRATION AND CONTROL SYSTEM FOR BIONIC LIMBS Technical Area This invention is developed in the field of medical technologies, especially for individuals who have undergone amputation. bionic limbs and the feedback system that enables their integration with the nervous system 5 It is related to systems. State of the Art Current prosthetic technologies generally focus only on motor skills and provide the user with peripheral vision. It is insufficient in providing feedback. It is commonly used today. Myoelectric prostheses convert EMG (electromyography) signals from the user's muscles into 10 It senses and moves the prosthesis. However, these systems operate on the "open-loop" principle. It works; that is, a command goes from the brain, the prosthesis moves, but no sensation returns from the prosthesis to the brain. He won't come back. With current state-of-the-art technology, users can determine how tightly the prosthesis grips an object or To understand the texture of the surface, the patient must constantly look at the prosthesis (visual feedback). 15 Although some advanced prosthetic devices on the market use pressure sensors, these are generally... It only measures the squeezing force. It also measures acoustic data from the outside world (for example, the pressure of a fabric). by detecting rustling sounds or mechanical micro-vibrations (surface roughness) and sending them to the nervous system An integrated system that translates into a language the person can understand is not common in current technology or is experimental. This has been limited to this stage. This situation has made it impossible for the prosthesis to feel "like a part of the body". It obstructs and creates difficulties in use. Description of the Invention This invention transmits acoustic and mechanical vibration data from the outside world directly to the nervous system. by converting the signals into transmissible electro-mechanical signals, allowing the user to control their limb in a more natural and precise way. It allows him to control it in some way. 25 The most fundamental innovation that the invention brings compared to the technology in the known state of the art is; only not only physical pressure, but also the texture of objects, the coefficient of friction, and contact. It uses a hybrid sensor architecture that can also detect sound frequencies generated during the process. The advantages provided by this system are as follows: Sensory Feedback: In contrast to the visual tracking-based usage in the known state of the technique, this 30 The invention gives the user a tactile and auditory "feeling" ability, without looking at the object. It allows him to grasp it. 2 Precise Control: By converting mechanical vibrations into neural stimulation, the user It can grasp fragile objects like eggs without breaking them, or heavy objects without dropping them. Reducing Cognitive Load: The mental effort the user expends to control the prosthesis is reduced, naturally. This is minimized thanks to the feedback loop. High Integration: By processing acoustic data as well, the prosthesis goes beyond being just a "grip". It emerges and acts like a sensory organ, perceiving its surroundings. In summary, the present invention uses a sensor-neural integration algorithm to improve the known state of the technique. This eliminates the "numb prosthesis" problem experienced in this situation and allows the user of the bionic limb acceptance by the patient as if it were their own natural limb, providing a more stable and realistic experience. It makes it happen. 10 Purpose and Advantages of the Invention The system described in the invention enables users of bionic limbs to adjust their prostheses without the need for visual contact. It allows them to feel and control objects as if they were natural limbs, without hearing them. The system enables objects to move and move around. allows the feeling of the force applied during gripping and the surface texture. by recognizing errors such as dropping or crushing objects during prosthesis use, and 15 It reduces the likelihood of accidents. Furthermore, environmental awareness is increased through the processing of auditory data. Explanation of References 1. Neural Signal Collector 2. Main Transmission Line 3. Signal Processing Chip (Auditory-Neuroprocessor) 20 4. Mechanical Joint (Elbow / Motor) 5. Main Control Unit (Neuro-Muscle Stimulator) 6. Microphone Array 7. Pressure Sensors Explanation of the figures 25 1. General view of the system Detailed Description of the Invention The workflow of the invention is as follows, according to the numbering in the References section: It is as follows: Movement commands or thought signals from the user's brain are transmitted to the base of the skull or the relevant 30 It is detected by the Neural Signal Collector (1) placed in the nerve region. Simultaneously, 3 External sounds are detected by the microphone array (6) on the prosthesis, and the contact surface The data is collected by pressure sensors (7) on the fingertips. These perceived data are transmitted through the shielded main transmission line (2) that runs along the arm The data is transferred to the region. The data first reaches the signal processing chip (3) located in the upper arm. The signal processor chip (3) receives both neural commands and signals from microphone array (6) and pressure sensors (7). It translates complex signals into machine language and feedback signals. The translated movement command moves the mechanical joint (4) to the desired position of the prosthesis. It enables the movement of the fingers. At the same time, the main control unit (5) located in the lower arm controls the finger movements. It manages the main system precisely with data from the microphone array (6) and pressure sensors (7). The control unit (5) sends the necessary electrical stimulus back to the muscles, enabling the user to move the object 10 It allows him to feel it and completes the movement. External Audio Input (Microphone Array Path) This pathway detects commands or sounds from the outside world and converts them into both motion signals and... It converts this into feedback data: Acquisition (Microphone Array): 15 microphones are placed on the outer surface of the prosthesis to pick up ambient sounds as clearly as possible. Microphone Array (6) integrated (e.g. on the wrist or forearm) in ambient sound It captures the waves. This equipment works with the same precision as a hearing aid, enabling the bionic limb to... It enables him to hear. Mechanical Impact Conversion: Signal Processor Chip (3) converts the audio data from the microphone array by processing it, it converts mechanical shocks into 20 micro-actuators inside the main control unit (5). It converts (Unique Mechanical Pulse). Internal Intention Input (Auditory-Neuroprocessing Pathway) This method uses the neural response in the brain to a sound that a person hears or thinks. It deduces the intention of the action: Neuroprocessing (Neural Signal Collector): From the auditory cortex or the relevant neural region of the brain 25 The resulting signals are captured by a Neural Signal Collector (1) implanted in the body. Auditory Neuroprocessor (Signal Processing Chip): Signal captured by Neural Signal Collector (1) The signal is analyzed by the signal processing chip (3) and an intent is formed (e.g., the "reach forward" command). It is interpreted. Frequency-to-Motion Conversion: This neural / desire signal directly controls physical movement. 30 This is converted into a frequency command that can be processed. This system is called a Brain-Computer Interface (BCI). It works logically, translating thought into limb commands. 4 Critical Integration and Connectivity The processed command signals from both sources (external voice and internal intention) are combined in the final stage: Neural Interface and Control (Main Control Unit): Processed mechanical impact data and frequency. The commands are transmitted to the main control unit (5) via the main transmission line (2). This unit receives the incoming data. By synthesizing the mechanical addition (4), it gives the final movement command. 5 How the invention can be applied to industry. Sensor-neural integration for bionic limbs serving the purposes mentioned above, and The control system is suitable for production and use in the medical industry and is offered to the industry. It is practical. 10

Claims

REQUESTS 1. The invention is a Sensor-Neural Integration and Control System for Bionic Limbs, characterized by: signals originating from the auditory cortex or related neural region of the brain at least one Neural Signal Collector (1), microphone array (6) and pressure that captures The complex signals from the sensors (7) are converted into machine language and feedback signals. The translator must have at least one Signal Processor Chip (3).

2. A system that complies with Claim 1; its feature is a microphone array (6) and pressure sensors. (7) is that it contains a Neural Signal Collector (1) which detects incoming signals.

3. A system that conforms to claims 1 and 2; its feature is that it receives data from the neural signal collector (1). Signal Processor Chip (3) 10 which processes and translates signals into machine language and feedback signal It includes.