Revealing stroke survivor gait deficits during rehabilitation using ensemble empirical mode decomposition of surface electromyography signals.
Biomedical Signal Processing and Control(2020)
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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