Muscle Activation Sensor Isolation for Low-Noise Force Detection
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Solution Overview
Problem
EMG sensors face challenges with electrical interference, noise from sensor movement, and cross-talk from nearby muscles, leading to inaccurate muscle activation detection.
Innovation Solution
A muscle activation sensing system with a sensor having a half-hemispherical protrusion and passive shear-force isolation, combined with active isolation techniques, to measure muscle contraction forces and differentiate between internal and external disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EMG sensors are used to detect muscle activation, then muscle activation can be detected, but electrical interference from nearby electronics and power lines degrades signal accuracy
Solution Approach 1:
The patent introduces an intermediary substance (conductive gel or saline solution) between the sensor electrodes and the skin surface. This intermediary layer acts as a mediator that improves electrical contact and reduces the impact of external electrical interference, allowing accurate muscle activation detection while filtering out harmful electrical noise from nearby electronics and power lines
2Reliability
If EMG sensors are placed on the skin to detect muscle signals, then muscle activation can be measured, but sensor movement and skin movement introduce unwanted noise
Solution Approach 1:
The patent employs flexible adhesive electrodes that conform to the skin surface, creating a stable contact interface that moves with the skin rather than against it. This flexible electrode design reduces relative movement between the sensor and skin, thereby minimizing movement artifacts and noise while maintaining reliable muscle signal detection
3Reliability
If EMG sensors detect muscle signals, then activation can be measured, but signals from nearby muscles make it difficult to isolate target muscle activity
Solution Approach 1:
The patent divides the detection system into multiple segmented sensor elements arranged in specific patterns on the skin surface. By segmenting the sensor array and using signal processing techniques to analyze the spatial distribution of signals across these segments, the system can isolate and identify muscle activation from specific target muscles while filtering out signals from nearby muscles, thereby improving measurement precision
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
Provides reliable, accurate measurement of muscle activation forces, reducing cross-talk and improving signal-to-noise ratio, enabling precise control of devices.
Implementation Method 1
A sensor with a half-hemispherical protrusion is positioned on a subject's limb to detect changes in local muscle cross-sectional size and stiffness, which appear as variations in measured force as the muscle contracts and stiffens.
Implementation Method 2
detect changes in local muscle cross-sectional size and stiffness, which appear as variations in measured force as the muscle contracts and stiffens
Data Source
AI summary
A muscle activation sensing system includes a mechanical sensor mounted on a body part and is configured to detect a change in a muscle associated with the body part. A location of the muscle activation sensing system on the body part is determined. A control signal is derived based on the detected change in the muscle associated with the body part and the determined location. The control signal is outputted to a device.