Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Conference proceeding: IEEE Engineering in Medicine and Biology Society 2017 |
| Place of Publication | Vereinigte Staaten |
| Publisher | PubMed |
| Pages | 410-4013 |
| Number of pages | 4 |
| Publication status | Published - Jul 2017 |
Fields of science
- 305 Other Human Medicine, Health Sciences
- 206 Medical Engineering
- 106 Biology
- 211 Other Technical Sciences
JKU Focus areas
- Mechatronics and Information Processing
- Nano-, Bio- and Polymer-Systems: From Structure to Function