Abstract
Myoelectric control is known since decades. Academic methods are usually based on the supervised classification of electromyographic (EMG) signals into a set of pre-defined functions. Therefore, such methods are sequential and non-proportional. In this talk, novel approaches based on the simultaneous and proportional control of multiple degrees of freedom using EMG will be presented. These methods can be either based on supervised regression (e.g., artificial neural networks) or on EMG signal factorization. The latter method is particularly promising because it does not require training. Results of the application of the new control schemes for both able-bodied and amputee subjects will be presented.
| Original language | English |
|---|---|
| Title of host publication | Converging Clinical and Engineering Research on Neurorehabilitation |
| Publisher | Springer |
| Pages | 1225-1228 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-3-642-34546-3 |
| ISBN (Print) | 978-3-642-34545-6 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 1st International Conference on NeuroRehabilitation, ICNR 2012: Converging Clinical and Engineering Research - Toledo, Spain Duration: 14 Nov 2012 → 16 Nov 2012 Conference number: 1 http://www.icnr2012.org/ |
Publication series
| Name | Biosystems & Biorobotics |
|---|---|
| Publisher | Springer |
| Volume | 1 |
| ISSN (Print) | 2195-3562 |
| ISSN (Electronic) | 2195-3570 |
Conference
| Conference | 1st International Conference on NeuroRehabilitation, ICNR 2012 |
|---|---|
| Abbreviated title | INCR |
| Country/Territory | Spain |
| City | Toledo |
| Period | 14/11/12 → 16/11/12 |
| Internet address |