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

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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.

Original languageEnglish
JournalInternational Journal of Electronics and Telecommunications
Issue number1
Pages (from-to)15-21
Number of pages7
Publication statusPublished - 01.03.2016

    Research areas

  • ARM processor platform, Daubechies wavelet, linux-based embedded system, noise detection, wavelet analysis, wavelet packet transform
  • Engineering