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Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Authors

This article deals with the noise detection of discrete biosignals using an orthogonal wavelet packet. In specific, it compares the usefulness of Daubechies wavelets with different vanishing moments for the denoising and compression of the digitalised biosignals in case of surface electromyography (sEMG) signals. The work is based upon the discrete wavelet transform (DWT) version of wavelet package transform (WPT). A noise reducing algorithm is proposed to detect unavoidable noise in the acquired data in a model independent way. The noise of a signal sequence will be defined by a seminorm. This method was developed for a possible observation during a fracture healing period. The proposed method is general for signal processing and its design was based upon the wavelet packet.

OriginalspracheEnglisch
ZeitschriftInternational Journal of Electronics and Telecommunications
Jahrgang62
Ausgabenummer1
Seiten (von - bis)15-21
Anzahl der Seiten7
ISSN2081-8491
DOIs
PublikationsstatusErschienen - 01.03.2016

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