Name
Title | ||
|---|---|---|
Reduction of the effect of arm position variation on real-time performance of motion classification. |
Abstract | ||
|---|---|---|
A couple of studies have been conducted with able-bodied subjects and/or arm amputees to investigate the impact of arm position changes in the practical use of a multifunctional myoelectric prosthesis. The classification accuracy calculated offline from electromyography (EMG) recordings was used as a performance metric in these studies, which is not a true measure of real-time control performance. In this study, the influence of arm position changes on the real-time performance of EMG pattern recognition (EMG-PR) control was quantitatively evaluated with four real-time metrics including motion response time, motion completion time, motion completion rate, and dynamic efficiency. Ten able-bodied subjects participated in the study and a cascade classifier built with both EMG and mechanomyogram (MMG) recordings was proposed to reduce the impact of arm position variation. The pilot results showed that arm position changes would substantially affect the real-time performance of EMG pattern-recognition based prosthesis control. Using a cascade classifier could significantly increase the average real-time completion rate (p-value<0.01). This suggests that the proposed cascade classifier may have potential to reduce the influence of arm position variation on the real-time control performance of a prosthesis. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346539 | EMBC |
Keywords | Field | DocType |
motion classification real time performance,medical control systems,dynamic efficiency,motion completion rate,cascade classifier,emg-pr control,motion response time,artificial limbs,motion completion time,emg recordings,medical signal processing,prosthesis control,mechanomyogram,multifunctional myoelectric prosthesis,signal classification,arm position variation effects,electromyography,classification accuracy,mmg recordings,arm position change effects,emg pattern recognition control | Prosthesis,Arm position,Computer vision,Computer science,Performance metric,Cascading classifiers,Electromyography,Response time,Mechanomyogram,Signal classification,Artificial intelligence | Conference |
Volume | Issue | ISSN |
2012 | null | 1557-170X |
ISBN | Citations | PageRank |
978-1-4577-1787-1 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanjuan Geng | 1 | 0 | 0.34 |
| Fan Zhang | 2 | 0 | 0.34 |
| Lin Yang | 3 | 1 | 1.70 |
| Yuan-Ting Zhang | 4 | 160 | 27.01 |
| Guanglin Li | 5 | 9 | 1.95 |