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Ascertaining the optimal myoelectric signal recording duration for pattern recognition based prostheses control.

Mojisola Grace Asogbon1, Oluwarotimi Williams Samuel1, Ejay Nsugbe2

  • 1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China.

Frontiers in Neuroscience
|March 13, 2023
PubMed
Summary

Optimal electromyogram signal recording duration (SRD) for prosthetic control is between 5 and 10 seconds. Shorter durations reduce fatigue and recalibration time, enhancing intuitive control for upper limb prostheses.

Keywords:
electromyogram (EMG)finger gesturespattern recognition (PR)prosthesessignal recording duration (SRD)

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Engineering
  • Human-Computer Interaction

Background:

  • Electromyogram-based pattern recognition (EMG-PR) is key for intuitive control of upper limb prostheses.
  • Signal Recording Duration (SRD) impacts EMG-PR system performance, affecting fatigue and computational cost.
  • Determining optimal SRD is crucial for effective prosthetic control and reducing controller delay.

Purpose of the Study:

  • To systematically investigate the impact of varying myoelectric SRD on finger gesture characterization.
  • To evaluate the generalizability of different SRD lengths across various machine learning models and features.
  • To provide guidance on selecting appropriate SRD for improved EMG-PR based control schemes.

Main Methods:

  • Investigated fifteen classes of finger gestures from eight subjects using SRDs of 1, 5, 10, 15, and 20 seconds.
  • Implemented two training strategies (Between-SRD and Within-SRD) with three classifiers and three time-domain features.
  • Analyzed the impact of SRD on EMG-PR motion intent decoder performance.

Main Results:

  • A practical scenario (Between-SRD) indicated that SRDs >5s and <=10s are required for decent average finger gesture decoding accuracy.
  • Optimal SRD balances gesture characterization accuracy with acquisition and implementation time.
  • Findings offer insights for selecting SRD to avoid inadequate characterization in prosthetic control.

Conclusions:

  • SRD significantly influences the accuracy and efficiency of EMG-PR systems for upper limb prostheses.
  • An SRD between 5 and 10 seconds appears optimal for balancing performance and practical usability.
  • This research provides valuable guidance for developing more intuitive and responsive prosthetic control systems.