DocumentCode
335970
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
Volume
1
fYear
1997
fDate
Oct. 30 1997-Nov. 2 1997
Firstpage
313
Lastpage
316
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location
Chicago, IL, USA
ISSN
1094-687X
Print_ISBN
0-7803-4262-3
Type
conf
DOI
10.1109/IEMBS.1997.754537
Filename
754537
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