Abstract
The Wavelet Transform Analysis offers the possibility to decompose time series into both time and scale components. The paper applies the Wavelet Transform to analyze the Fetal Heart Rate (FHR) signal. A noise reduction technique that detects noise components by analyzing the evolution of the Wavelet Transform modulus maxima across scales is adapted to improve the quality of FHR recording. The denoising scheme relies on the elimination of those multiscale maxima that correspond to noise components. The denoised FHR signal is reconstructed from the processed maxima by the inverse Wavelet Transform. The algorithm effectively removes transient spikes and reduces noise (both Gaussian and coloured) without destroying the high frequency information content of the signal (as the traditional low pass filtering does).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1029-1030 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 3 |
| State | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 5) - Amsterdam, Neth Duration: Oct 31 1996 → Nov 3 1996 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics