Abstract
This article presents pulse monitoring and analysis approaches on Traditional Chinese Pulse Diagnosis (TCPD) by means of modern nonlinear signal processing technology. Pulse monitoring is significant for the research on cardiovascular and nervous system. But some interference, such as respiration, motion artifacts can be greatly brought into the long-term pulse acquisition. Thus, a cascaded adaptive wavelet filter is designed to solve this issue. Then analysis of long-term pulse waveform in TCPD is illustrated after being preprocessed. What's more, the chaos character of healthy Heart Rate Variability (HRV) is validated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
| Pages | 1366-1370 |
| Number of pages | 5 |
| Volume | 3 |
| Publication status | Published - 1 Dec 2002 |
| Event | Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002 |
Conference
| Conference | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 4/11/02 → 5/11/02 |
Keywords
- Adaptive wavelet filter
- Chaos
- Pulse monitoring
- Pulse waveform
- Traditional chinese pulse diagnosis
ASJC Scopus subject areas
- General Engineering