Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm. / Schimmack, Manuel; Mercorelli, Paolo.
in: International Journal of Electronics and Telecommunications, Jahrgang 62, Nr. 1, 01.03.2016, S. 15-21.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
AU - Schimmack, Manuel
AU - Mercorelli, Paolo
PY - 2016/3/1
Y1 - 2016/3/1
N2 - 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.
AB - 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.
KW - ARM processor platform
KW - Daubechies wavelet
KW - linux-based embedded system
KW - noise detection
KW - wavelet analysis
KW - wavelet packet transform
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=84966628721&partnerID=8YFLogxK
U2 - 10.1515/eletel-2016-0002
DO - 10.1515/eletel-2016-0002
M3 - Journal articles
AN - SCOPUS:84966628721
VL - 62
SP - 15
EP - 21
JO - International Journal of Electronics and Telecommunications
JF - International Journal of Electronics and Telecommunications
SN - 2081-8491
IS - 1
ER -