Muscle Co-Contraction Detection in the Time-Frequency Domain.

ABSTRACT:

Background

Muscle co-contraction plays a significant role in motion control. Available detection methods typically only provide information in the time domain. The current investigation proposed a novel approach for muscle co-contraction detection in the time-frequency domain, based on continuous wavelet transform (CWT).

Methods

In the current study, the CWT-based cross-energy localization of two surface electromyographic (sEMG) signals in the time-frequency domain, i.e., the CWT coscalogram, was adopted for the first time to characterize muscular co-contraction activity. A CWT-based denoising procedure was applied for removing noise from the sEMG signals. Algorithm performances were checked on synthetic and real sEMG signals, stratified for signal-to-noise ratio (SNR), and

SUBMITTER: Di Nardo F 

PROVIDER: S-EPMC9269699 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature