Title :
Wavelet and wavelet packet decomposition of RR and RTmax interval time series
Author :
Tikkanen, P.E. ; Sellin, L.C.
Author_Institution :
University of Oulu, Finland
fDate :
Oct. 30 1997-Nov. 2 1997
Abstract :
As a novel approach for analyzing ECG as time series, wavelet packet decomposition is presented as being an advanced and versatile signal decomposition scheme. An optimized wavelet packet decomposition is selectezwith respect to the minimization of the entropy of time series. Signal decomposition schemes are visualized by tree structures, and an optimized structure is called a best tree. Examples of RR and RTmax interval time series are analyzed by both wavelet and wavelet packet method. The accuracy of RTmax interval variability measurement was improved by oversampling the acquired ECG signal.
Keywords :
electrocardiography; medical signal processing; minimum entropy methods; time series; wavelet transforms; RR interval time series; RT/sub max/ interval time series; acquired ECG signal; best tree; electrodiagnostics; oversampling; signal decomposition scheme; time series entropy minimization; tree structures; wavelet packet decomposition; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Entropy; Fetal heart rate; Frequency; Time series analysis; Wavelet analysis; Wavelet packets; Wavelet transforms; RR and RTmax interval variability; Wavelet; best tree; entropy; wavelet packet;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.754537
