HIGHLIGHTS
- who: FRANCESCO DI NAR et al. from the Dipartimento Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy have published the article: Wavelet-Based Assessment of the Muscle-Activation Frequency Range by EMG Analysis, in the Journal: (JOURNAL)
- what: This study introduces a novel reliable wavelet-based algorithm to detect both time frequency content of muscle activation suitable in different conditions of signal quality. Different approaches are introduced to assess it. This study aims to propose a novel adaptative algorithm for detecting muscle activation in time-frequency domain, based on continuous wavelet transform (CWT) analysis . . .
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