Wavelet transform theory and its application in EMG signal processing

Autor:	Xu Zhang, Ray P.S. Han, Yu Wang
Rok vydání:	2010
Předmět:	Signal processing business.industry Computer science Noise reduction Speech recognition Multiresolution analysis Feature extraction Wavelet transform Pattern recognition Signal Time–frequency analysis Wavelet Artificial intelligence business
Zdroj:	FSKD
DOI:	10.1109/fskd.2010.5569532
Popis:	Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. The electromyogram (EMG) signals arising from muscle activities have become a useful tool for clinical diagnosis, rehabilitation medicine and sport medicine. In this paper, a time-frequency analysis based on the wavelet transform of the EMG signals is presented with a focus on 2 areas: de-noising and feature extraction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1cfc63809cf6002c2f51cf8344bfeeb6 https://doi.org/10.1109/fskd.2010.5569532 Zobrazit plný text záznamu