EMG-Controlled Retraining System for Neural Pathway Reconnection
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Solution Overview
Problem
Current retraining methods for immobile body parts due to injury are indirect and do not effectively utilize existing electromyographic (EM) signals, relying on repetitive mechanical or physical therapy to stimulate neural pathway reconnection.
Innovation Solution
A system using EM sensors and a programmable computer to detect and control mechanical apparatuses attached to body parts distal to the injury, utilizing EM signals from healthy subjects to remotely control and synchronize movements with injured subjects, enhancing retraining through direct EM signal correlation and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If repetitive mechanical manipulation or physical therapy is used to retrain immobile body parts, then neural pathway reconnection may be stimulated, but the method is indirect and does not effectively utilize existing EM signals from the nervous system
Solution Approach 1:
The patent replaces direct mechanical manipulation with an electromyographic (EMG) based control system. EMG sensors detect electrical signals from muscle contractions, and a computer processes these signals to control a mechanical apparatus that assists movement. This substitution allows the system to utilize the nervous system's own EM signals directly, making the retraining process more effective and direct rather than relying solely on external mechanical manipulation.
Solution Approach 2:
The patent introduces a computer as an intermediary between the EMG sensors and the mechanical apparatus. The computer processes the EMG signals, interprets the patient's intended movements, and controls the mechanical apparatus accordingly. This intermediary enables the system to translate biological electrical signals into precise mechanical assistance, bridging the gap between the nervous system and the rehabilitation device.
2Manufacturing precision
If EM signals from healthy subjects are used to control mechanical apparatus for injured subjects, then retraining can be synchronized and controlled precisely, but the system requires coordination between multiple subjects and complex signal correlation
Solution Approach 1:
The patent uses EMG signals from a healthy subject as a template or copy to control the mechanical apparatus for an injured subject. The system records the healthy subject's EMG patterns during normal movement and uses these patterns to guide the rehabilitation process. This copying approach allows the injured patient to receive precisely controlled assistance that mirrors normal movement patterns, improving precision while the computer automation handles the complexity of signal correlation.
Solution Approach 2:
The system incorporates feedback mechanisms where the computer continuously monitors EMG signals from both healthy and injured subjects, compares them, and adjusts the mechanical apparatus control in real-time. This feedback loop ensures that the assistance provided to the injured patient is precisely synchronized with their neural signals and matches the movement patterns of the healthy subject, achieving high precision while the computer manages the operational complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables direct and effective retraining by utilizing intact EM signals to control mechanical apparatuses, promoting neural pathway reconnection and muscle memory recovery, offering a more efficient and targeted therapy compared to traditional methods.
Implementation Method 1
EM sensors, a programmable computer and a mechanical structure controlled by the computer such that the body parts distal to the injury will be moved in a desired manner
Data Source
AI summary
The invention provides a retraining system that requires EM sensors, programmable computers and mechanical structures that are controlled by the programmable computers so that injured body parts of injury subjects are moved by the mechanical structures. The retraining methodology proposes the use of electromyograph (EMG) signals from a healthy subject having a healthy body part to control the mechanical structures that are coupled to the injured body parts of injury subjects. As part of the retraining system, the EMG signals of the same injured subject are also sensed by an EM sensor coupled to said injured subject in order to move the mechanical structures coupled to the injured subject. The system is calibrated to store in the programmable computers specific motions associated to the EMG signals of the healthy subject and to ensure that the EMG signals of the healthy subject and the EMG signals of the injured subject are significantly matched. Also, the system provides that the EMG signals of a single healthy subject can be used to control the movement of a plurality of mechanical structures coupled to a plurality of injured subjects to offer a group therapy session.