An improved ensemble empirical mode decomposition and Hilbert transform for fatigue evaluation of dynamic EMG signal

Autor:	Lu Ding, Zhengxiang Cai, Rob Law, C.F. Wei, Qi Wu
Rok vydání:	2015
Předmět:	Force level Instantaneous phase Atomic and Molecular Physics and Optics Hilbert–Huang transform Electronic Optical and Magnetic Materials symbols.namesake Relevant feature Muscular fatigue symbols Hilbert transform Electrical and Electronic Engineering Algorithm Mathematics Hilbert spectrum
Zdroj:	Optik. 126:5903-5908
ISSN:	0030-4026
DOI:	10.1016/j.ijleo.2015.08.179
Popis:	A hybrid dynamic fatigue diagnosis method based on a variation of ensemble empirical mode decomposition (VEEMD) and mean instantaneous frequency (MIF) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. In the method here proposed, a particular noise is added at each stage of the decomposition and a unique residue is computed to obtain each mode. Our results showed that MIF estimated from each instantaneous frequency of intrinsic mode functions (IMFs) decomposed by the proposed VEEMD is a relevant feature to muscular fatigue diagnosis. We found that MIF reduces when the force level of the muscle contraction increases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::df4ca25c87a78b2bdaa93fefbccfc00f https://doi.org/10.1016/j.ijleo.2015.08.179 Zobrazit plný text záznamu Full Text from ScienceDirect