Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Journal Title: International Journal of Electronics and Telecommunications - Year 2016, Vol 62, Issue 1
Abstract
This article deals with the noise detection of discrete biosignals using an orthogonal wavelet packet. More specifically, 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 observing during a fracture healing periode. The proposed method is general for signal processing and its design was based upon the wavelet packet.
Authors and Affiliations
Manuel Schimmack, Paolo Mercorelli
Keywords
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- EP ID EP197531
- DOI 10.1515/eletel-2016-0002
- Views 125
- Downloads 0
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