Abstract
Heart rate variability signals usually contain several special characteristics and interference, such as multiple oscillations, 1/f fluctuations, transient changes, very low frequency trends, and noises. Nevertheless, the effects of these special phenomena on time-frequency signal analysis are seldom discussed. In this paper, a new approach is presented to suppress the interfering cross terms in the Wigner-Ville distribution. In comparison with various time-frequency methods, our method provides excellent cross-term suppression at the presence of multiple oscillations, 1/f characteristics, and very low frequency trends, and inherits the advantages of the Wigner-Ville distribution dealing with transient changes and noises.
| Original language | English |
|---|---|
| Pages (from-to) | 343-353 |
| Number of pages | 11 |
| Journal | Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an |
| Volume | 20 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1997 |
| Externally published | Yes |
Keywords
- Heart rate variability
- Time-frequency analysis
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