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Prosthetic Leg Locomotion-Mode Identification Based on High-Order Zero-Crossing Analysis Surface Electromyography

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Abstract

The research purpose was to improve the accuracy in identifying the prosthetic leg locomotion mode. Surface electromyography (sEMG) combined with high-order zero-crossing was used to identify the prosthetic leg locomotion modes. sEMG signals recorded from residual thigh muscles were chosen as inputs to pattern classifier for locomotion-mode identification. High-order zero-crossing were computed as the sEMG features regarding locomotion modes. Relevance vector machine (RVM) classifier was investigated. Bat algorithm (BA) was used to compute the RVM classifier kernel function parameters. The classification performance of the particle swarm optimization-relevance vector machine (PSO-RVM) and RVM classifiers was compared. The BA-RVM produced lower classification error in sEMG pattern recognition for the transtibial amputees over a variety of locomotion modes: upslope, downgrade, level-ground walking and stair ascent/descent.

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Acknowledgment

The authors would like to thank the National Center for Rehabilitation AIDS and Five graduate students from Hebei University of Technology

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Authors and Affiliations

  1. College of Building Environment Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Lei Liu  (刘磊) & Yinmao Song  (宋寅卯)

  2. College of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin, 300130, China

    Peng Yang  (杨鹏) & Zuojun Liu  (刘作军)

Authors
  1. Lei Liu  (刘磊)
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  2. Peng Yang  (杨鹏)
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  3. Zuojun Liu  (刘作军)
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  4. Yinmao Song  (宋寅卯)
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Corresponding author

Correspondence to Lei Liu  (刘磊).

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Foundation item

the Center Plain Science and Technology Innovation Talents (No. 194200510016), the Science and Technology Innovation Team Project of Henan Province University (No. 19IRTSTHN013), and the Key Scientific Research Support Project for Institutions of Higher Learning in Henan Province (No. 18A413014)

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Liu, L., Yang, P., Liu, Z. et al. Prosthetic Leg Locomotion-Mode Identification Based on High-Order Zero-Crossing Analysis Surface Electromyography. J. Shanghai Jiaotong Univ. (Sci.) 26, 84–92 (2021). https://doi.org/10.1007/s12204-020-2249-1

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  • DOI: https://doi.org/10.1007/s12204-020-2249-1

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