EMG Signal Validity Detection Using Video-Corrected Leg Angles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing EMG signal collection methods face inaccuracies due to subjective differences in motion amplitude and speed, leading to invalid signals and reduced processing accuracy.
Innovation Solution
Collect video data during squatting and foot-padding with dynamic muscle stimulation, perform human body recognition, convert normalized coordinates to pixel coordinates, correct for shooting angles, and calculate leg angles to determine EMG signal validity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If human body recognition is performed on normalized coordinates directly, then coordinate processing is simpler, but calculation precision deteriorates due to normalization distortion
Solution Approach 1:
The patent applies preliminary action by converting normalized coordinates to pixel coordinates before performing leg angle calculations. This pre-processing step ensures that subsequent calculations are performed on undistorted, actual-scale coordinates, thereby maintaining calculation precision while managing complexity through structured data transformation
Solution Approach 2:
The patent introduces pixel coordinates as an intermediary representation between normalized coordinates and leg angle calculations. This intermediary layer acts as a mediator that preserves the accuracy of anatomical landmark positions while enabling precise geometric calculations for thigh bending and foot-padding angles
2Measurement precision
If video processing steps are added to convert coordinates and calculate angles, then EMG signal validity determination becomes more accurate, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-converting normalized coordinates to pixel coordinates and pre-calculating leg angles before EMG signal validation. This allows the EMG validity determination to use pre-computed angular data, reducing real-time processing requirements while maintaining high accuracy in signal validation
Solution Approach 2:
The patent segments the processing workflow into distinct stages: video frame processing, coordinate conversion, anatomical landmark identification, leg angle calculation, and EMG validity determination. This segmentation allows each stage to be optimized independently, balancing accuracy requirements with processing efficiency
Data Source
AI summary
The present application provides a method for determining the validity of an electromyographic (EMG) signal, an apparatus, a device and a storage medium. The method includes: collecting video data including squatting and foot-padding by dynamic muscle stimulation of a leg, and collecting an EMG signal on a surface of the leg while squatting and foot-padding; performing human body recognition on each frame of images of the video data, and acquiring normalized coordinates of human body key points in each frame of images; converting the normalized coordinates of the human body key points in each frame of images into pixel coordinates to obtain the pixel coordinates of the human body key points in each frame of images; and correcting the pixel coordinates of the human body key points in each frame of images according to shooting angles.