Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Research output: Journal contributions › Journal articles › Research › peer-review
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.
| Original language | English |
|---|---|
| Journal | International Journal of Electronics and Telecommunications |
| Volume | 62 |
| Issue number | 1 |
| Pages (from-to) | 15-21 |
| Number of pages | 7 |
| ISSN | 2081-8491 |
| DOIs | |
| Publication status | Published - 01.03.2016 |
- ARM processor platform, Daubechies wavelet, linux-based embedded system, noise detection, wavelet analysis, wavelet packet transform
- Engineering
Research areas
- Computer Networks and Communications
- Electrical and Electronic Engineering