Name
Abstract | ||
|---|---|---|
In this study we investigate the muscle coordination underlying the execution of a pedaling exercise across different biomechanical demands, by using the muscle synergies paradigm. 9 non professional subjects performed a cycling exercise using their preferred pedaling strategy (Preferred Strategy, PS) and then, through the use of a feedback based on the presentation of a real-time index of mechanical efficiency determined by means of instrumented pedals, they were helped to optimize their pedaling technique (Effective Strategy, ES). EMG activity was recorded from 8 muscles of the dominant leg. Nonnegative Matrix Factorization was applied for the extraction of muscle synergies. 4 modules were sufficient to reconstruct the repertoire of muscle activations for all the subjects during PS condition, and these modules were found consistent across all the subjects (correlation > 83%). 5 muscle synergies were necessary for the characterization in ES condition; 4 out of these modules were shared with PS condition, and the resulting additional module appeared subject-specific. These preliminary results support the existence of a modular motor control in humans. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346672 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
Muscle Synergies, Cycling, sEMG, Index of Pedaling Efficiency | Computer vision,Simulation,Computer science,Motor control,Artificial intelligence,Motor coordination,Physical medicine and rehabilitation,Biomechanics | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 4 |
PageRank | References | Authors |
0.84 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristiano De Marchis | 1 | 12 | 5.89 |
| A M Castronovo | 2 | 5 | 1.27 |
| Daniele Bibbo | 3 | 29 | 8.26 |
| M Schmid | 4 | 7 | 2.44 |
| S Conforto | 5 | 4 | 1.17 |