NDLI: Decomposition of EMG patterns as combinations of time-varying muscle synergies

Content Provider	IEEE Xplore Digital Library
Author	d'Avella, A.
Copyright Year	2003
Description	Author affiliation: Dept. of Brain & Cognitive Sci., MIT, MA, USA (d'Avella, A.)
Abstract	A key issue in the study of the neural control of movement is understanding how the CNS coordinates the large number degrees of freedom of the musculoskeletal system to achieve a variety of behavioral goals. The organization of muscle synergies, i.e. groups of muscles controlled as units, might simplify this problem by reducing the dimensionality of the control space. We propose a model for the generation of muscle patterns as linear combinations of synergies with a specific spatiotemporal structure. We introduce an algorithm to extract multiple instances of time-varying muscle synergies from EMG patterns of arbitrary length. Simulation shows that the algorithm is capable of recovering a set of synergies from the data constructed by their combinations. We use this algorithm to decompose the EMG patterns recorded during swimming in an intact, unrestrained frog as combinations of three synergies. The recruitment of different synergies over time and episodes appears to capture the characteristic of the corresponding behavior. These results suggest that this approach can provide new insight into the mechanism of biological motor control.
Starting Page	55
Ending Page	58
File Size	414815
Page Count	4
File Format	PDF
ISBN	0780375793
DOI	10.1109/CNE.2003.1196754
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Musculoskeletal system Time varying systems Humans Muscles Control systems Electromyography Iterative algorithms Physiology Spatiotemporal phenomena Recruitment
Content Type	Text
Resource Type	Article

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