Electrode Density Affect the Robustness of Myoelectric Pattern Recognition System With and Without Electrode Shift

被引:18
|
作者
He, Jiayuan [1 ]
Sheng, Xinjun [2 ]
Zhu, Xiangyang [2 ]
Jiang, Ning [1 ]
机构
[1] Univ Waterloo, Dept Syst Design Engn, Fac Engn, Waterloo, ON N2L 3G1, Canada
[2] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Myoelectric signal; electrode density; pattern recognition; prostheses; EMG SIGNALS; SURFACE; CLASSIFICATION; FRAMEWORK; SCHEME; NUMBER; LEVEL;
D O I
10.1109/JBHI.2018.2805760
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the availability of high-density (HD) electrodes technology, the electrodes used in myoelectric control can have much higher density than the current practice. In this study, we investigated the effects of electrode density on pattern recognition (PR) based myoelectric control. Four density levels were analyzed in two directions: parallel and perpendicular to muscle fibers. Their influence on PR-based myoelectric control algorithms was investigated under three conditions between training and testing datasets: no electrode shift, 10-mm shift parallel to muscle fibers and 10-mm shift perpendicular to muscle fibers. The effect of electrode density varied among the different shift conditions: First, when there was no shift, increasing electrode density significantly improved the classification performance; second, when the shift was in the perpendicular direction, increasing electrode density resulted in deterioration in the classification performance; third, when the shift was in the parallel direction, the effect of the electrode density was more complicated-increasing the density in the parallel direction reduced the performance, while increasing density in the perpendicular direction would initially enhance the performance, but then reduce performance. To our best knowledge, this was the first study focusing on the role of electrode density in myoelectric control with the presence of electrode shift. Its outcome would benefit the design of electrode placement for future myoelectric prostheses with HD electrodes.
引用
收藏
页码:156 / 163
页数:8
相关论文
共 50 条
  • [1] Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Autoencoder
    Lv, Bo
    Sheng, Xinjun
    Zhu, Xiangyang
    [J]. 2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 5652 - 5655
  • [2] Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration
    Young, Aaron J.
    Hargrove, Levi J.
    Kuiken, Todd A.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (03) : 645 - 652
  • [3] Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control
    Wu, Le
    Liu, Aiping
    Zhang, Xu
    Chen, Xiang
    Chen, Xun
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [4] The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift
    Young, Aaron J.
    Hargrove, Levi J.
    Kuiken, Todd A.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2011, 58 (09) : 2537 - 2544
  • [5] Analysis of Electrode Shift Effects on Wavelet Features Embedded in a Myoelectric Pattern Recognition System
    Fontana, Juan M.
    Chiu, Alan W. L.
    [J]. ASSISTIVE TECHNOLOGY, 2014, 26 (02) : 71 - 80
  • [6] Improving Myoelectric Pattern Recognition Robustness to Electrode Shift Using Image Processing Techniques and HD-EMG
    Diaz-Amador, Roberto
    Arturo Mendoza-Reyes, Miguel
    Ferrer-Riesgo, Carlos A.
    [J]. VIII LATIN AMERICAN CONFERENCE ON BIOMEDICAL ENGINEERING AND XLII NATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, 2020, 75 : 344 - 350
  • [7] Reducing Classification Accuracy Degradation of Pattern Recognition Based Myoelectric Control caused by Electrode Shift using a High Density Electrode Array
    Boschmann, Alexander
    Platzner, Marco
    [J]. 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 4324 - 4327
  • [8] Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns
    Lizhi Pan
    Dingguo Zhang
    Ning Jiang
    Xinjun Sheng
    Xiangyang Zhu
    [J]. Journal of NeuroEngineering and Rehabilitation, 12
  • [9] Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns
    Pan, Lizhi
    Zhang, Dingguo
    Jiang, Ning
    Sheng, Xinjun
    Zhu, Xiangyang
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
  • [10] Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network
    Gao, Ge
    Zhang, Xu
    Chen, Xiang
    Chen, Zhang
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 32 : 3388 - 3398