Abstract
Early and accurate detection of emboli is important for monitoring of preventive therapy in stroke-prone patients. One of the problems in detection of emboli is the identification of an embolic signal caused by very small emboli. The amplitude of the embolic signal may be so small that advanced processing methods are required to distinguish these signals from Doppler signals arising from red blood cells. Time-frequency and time-scale analysis have been widely used in analysis and detection of embolic signals. In this study we use wavelet denoising to improve analysis and detection of embolic signals. Results demonstrate that considerable improvements can be achieved by wavelet denoising.
| Original language | English |
|---|---|
| Pages (from-to) | 80-81 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 1 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 23 Oct 2002 → 26 Oct 2002 |
Keywords
- Doppler ultrasound
- Embolism
- Time-frequency analysis
- Time-scale analysis
- Wavelet transform
