Capacitively coupled EMG detection via ultra-low-power microcontroller STFT.

  • Theresa Roland (Speaker)
  • Baumgartner, W. (Speaker)
  • Sebastian Amsüss (Speaker)
  • Michael Friedrich Russold (Speaker)

Activity: Talk or presentation › Poster presentation › science-to-science

Description

As motion artefacts are a major problem with electromyography sensors, a new algorithm is developed to differentiate artefacts to contraction EMG. The performance of myoelectric prosthesis is increased with this algorithm. The implementation is done for an ultra-low-power microcontroller with limited calculation resources and memory. Short Time Fourier Transformation is used to enable real-time application. The sum of the differences (SOD) of the currently measured EMG to a reference contraction EMG is calculated. The SOD is a new parameter introduced for EMG classification. The satisfactory error rates are determined by measurements done with the capacitively coupling EMG prototype, recently developed by the research group.
Period18 Aug 2016
Event titleIEEE Engineering in Medicine and Biology Society
Event typeConference
LocationKorea, Republic ofShow on map

Fields of science

  • 305 Other Human Medicine, Health Sciences
  • 206 Medical Engineering
  • 106 Biology
  • 211 Other Technical Sciences

JKU Focus areas

  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • Mechatronics and Information Processing

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