Muscle synergies as a predictive framework for the EMG patterns of new hand postures.

作者: A B Ajiboye , R F Weir

DOI: 10.1088/1741-2560/6/3/036004

关键词:

摘要: Synchronous muscle synergies have been suggested as a framework for dimensionality reduction in coordination. Many studies shown that form descriptive wide variety of tasks. We examined if synergy could accurately predict the EMG patterns associated with untrained static hand postures, essence, they formed predictive framework. Hand and forearm activities were recorded while subjects statically mimed 33 postures American Sign Language alphabet. Synergies extracted from subset training using non-negative matrix factorization used to remaining postures. Across subject population, few 11 an eight-dimensional allowed at least 90% prediction all including trial-to-trial variations. quite robust despite different set, also varied number Estimated categorized into those which subject-specific general population. Population sparser than synergies, typically being dominated by single muscle. Subject-specific more balanced coactivation multiple muscles. suggest result global coordination may be combination higher order control lower individuated muscles, this paradigm useful EMG-based technologies, such artificial limbs functional electrical stimulation systems.

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