Channel selection for simultaneous myoelectric prosthesis control

Han Jeong Hwang, Janne Mathias Hahne, Klaus Robert Müller

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

To develop a clinically available prosthesis based on electromyography (EMG) signals, the number of recording electrodes should be as small as possible. In this study, we investigate the possibility of the least absolute shrinkage and selection operator (LASSO) for finding electrode subsets suitable for regression based myoelectric prosthesis control. EMG signals were recorded using 192 electrodes while ten subjects were performing two degree-of-freedom (DoF) wrist movements. Among the whole channels, we selected subsets consisting of 96, 64, 48, 32, 24, 16, 12, and 8 electrodes, respectively, using the LASSO method. As a baseline method, electrode subsets having the same numbers of electrodes were arbitrary selected with regular spacing (uniform selection method). The performance of decoding the movements was estimated using the r-square value. The electrode subsets selected by the LASSO method generally outperformed those chosen by the arbitrary selection method. In particular, the performance of the LASSO method was significantly higher than that of the arbitrary selection method when using the subsets of 8 electrodes. From the analysis results, we could confirm that the LASSO method can be used to select reasonable electrode subsets for regression based myoelectric prosthesis control.

Original languageEnglish
DOIs
Publication statusPublished - 2014
Event2014 International Winter Workshop on Brain-Computer Interface, BCI 2014 - Gangwon, Korea, Republic of
Duration: 2014 Feb 172014 Feb 19

Other

Other2014 International Winter Workshop on Brain-Computer Interface, BCI 2014
CountryKorea, Republic of
CityGangwon
Period14/2/1714/2/19

Keywords

  • electromyography (EMG)
  • least absolute shrinkage and selection operator (LASSO)
  • myoelectric control
  • prosthetic hand
  • regression

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Human Factors and Ergonomics

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  • Cite this

    Hwang, H. J., Hahne, J. M., & Müller, K. R. (2014). Channel selection for simultaneous myoelectric prosthesis control. Paper presented at 2014 International Winter Workshop on Brain-Computer Interface, BCI 2014, Gangwon, Korea, Republic of. https://doi.org/10.1109/iww-BCI.2014.6782565