Muscle Control Device EMG Signal Extraction
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Solution Overview
Problem
Existing muscle control devices face challenges in simultaneously using Electromyography (EMG) and Functional Electrical Stimulation (FES) due to signal interference, which limits their ability to accurately reflect a user's motion intention and provide natural muscle control.
Innovation Solution
A muscle control device that includes an EMG electrode unit, an EMG circuit unit, a control unit, an FES electrode unit, and an FES circuit unit, which senses EMG signals, extracts volitional electromyography signals, determines FES stimulation parameters based on these signals, and adjusts the intensity of the FES accordingly, allowing for real-time identification and reflection of user motion intentions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If FES is applied to generate muscle contraction, then exercise effect and joint movement are achieved, but signal interference prevents simultaneous use of EMG for motion intention identification
Solution Approach 1:
The patent segments the EMG signal processing into multiple channels, where each channel corresponds to a specific electrode pair. By processing signals from multiple channels and selecting or combining specific channels, the system can identify volitional EMG signals while filtering out FES-induced interference signals, thus resolving the contradiction between maintaining muscle contraction power and ensuring signal measurement reliability
Solution Approach 2:
The patent introduces an intermediary processing layer that includes noise removal algorithms and volitional signal extraction mechanisms. This intermediary layer processes the raw EMG signals by identifying and removing FES-related interference components, thereby enabling reliable motion intention detection even during FES application
2Ease of operation
If EMG and FES are used simultaneously, then motion intention can be identified and muscle control can be achieved, but signal interference degrades the quality of EMG signal detection
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors EMG signals, identifies volitional components through signal processing, and adjusts FES stimulation parameters accordingly. This closed-loop feedback enables natural motion control by reflecting the user's motion intention while compensating for signal interference through active signal processing and parameter adjustment
3Force
If FES stimulation intensity is increased to improve exercise effect, then muscle contraction strength increases, but signal interference and artifacts in EMG signals increase
Solution Approach 1:
The patent dynamically changes stimulation parameters including pulse magnitude, pulse period, pulse width, and pulse shape based on the extracted volitional EMG signals. By adjusting these parameters in real-time according to the user's motion intention and the detected signal quality, the system can maintain effective muscle force output while minimizing FES-induced signal interference and artifacts
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
Enables real-time natural motion control by accurately identifying and responding to user intentions, improving muscle control by minimizing signal interference and providing a more intuitive and effective muscle control experience.
Implementation Method 1
an electromyography (EMG) electrode unit including a plurality of electrodes, and that senses an EMG signal
Implementation Method 2
an FES electrode unit that outputs a functional electrical stimulation, based on the FES stimulation parameters
Data Source
AI summary
A muscle control device includes an electromyography (EMG) electrode unit including a plurality of electrodes, and that senses an EMG signal, an EMG circuit unit that generates channel data, based on electrode signals, a control unit that receives the channel data, extracts a volitional electromyography signal, based on the channel data, and determines FES (Functional Electrical Stimulation) stimulation parameters, based on the volitional electromyography signal, an FES electrode unit that outputs a functional electrical stimulation, based on the FES stimulation parameters, and an FES circuit unit that receives the FES stimulation parameters, generates the functional electrical stimulation, based on the FES stimulation parameters, and transmits the functional electrical stimulation to the FES electrode unit, and the control unit recognizes a direction and an intensity of a motion from the volitional electromyography signal, based on the volitional electromyography signal and adjusts an intensity of the functional electrical stimulation.