Revealing stroke survivor gait deficits during rehabilitation using ensemble empirical mode decomposition of surface electromyography signals.

Biomedical Signal Processing and Control(2020)

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摘要
•Gait sEMG is decomposed using EEMD.•IMFs reveal detailed information of muscle activations in various frequencies.•Abnormal gaits in foot drop and prolonged stance phase are explained.•Case studies of stroke survivors in a 6-month recovery period are discussed.
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关键词
Stroke,Ensemble empirical mode decomposition,Surface electromyography,Gait
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