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A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals

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sEMGDetection

Visitors This is the official source code repository of "A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals".

We provide the test data for running the algorithm.

We provide the core algorithm and remove other contents for readability and easy to implement.

Step 1: Run the main1.m to get the entropy feature.

Step 2: Run the main2.m to detect the onsets and offsets of the sEMG activation intervals.

If our work is helpful to you, please Star it and kindly Cite our paper as:

@article{tang2022double,
  title={A double threshold adaptive method for robust detection of muscle activation intervals from surface electromyographic signals},
  author={Tang, Hao and Wang, Shurun and Tan, Qi and Wang, Bin},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={71},
  pages={1--12},
  year={2022},
  publisher={IEEE}
}

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A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals

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