Chan, Hsiao-LungHsiao-LungChanHUI-HSUN HUANGWu, Chien-PingChien-PingWuJIUNN-LEE LIN2018-09-102018-09-1019970253-3839http://www.scopus.com/inward/record.url?eid=2-s2.0-0031143268&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/328416Heart 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. © 1997, Taylor & Francis Group, LLC.Heart rate variability; Time-frequency analysisA new approach for time-frequency analysis of heart rate variability and assessment of time-frequency representationsjournal article10.1080/02533839.1997.9741838