DocumentCode :
1670704
Title :
Adaptive Time-Frequency Interbeat
Author :
Lucena, Fausto ; Takeuchi, Yoshinori ; Ohnishi, Noboru ; Barros, Allan Kardec ; Fujiwara, Yoshihiro
Author_Institution :
Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya
fYear :
2008
Firstpage :
2056
Lastpage :
2059
Abstract :
In this paper, we address the nonstationary problem to analyze the cardiovascular control system based on beat- to-beat heart rate variability (HRV) time series. A novelty information here is to perform HRV time-frequency analysis without "a priori" knowledge of nonstationarity. This is achieved by adaptive interactions that will decompose the HRV signal in sub-signals with well-defined time-frequency parameters. These may be used to reconstruct the signal in sub-bands or might be used in screening tests. To validate our method, we carried out the experiments with both artificial and real HRV intervals. As an application test, we consider a simple case of screening, where experiments with a database consisting of beat-to-beat samples derived from 20 normal and 15 cardiac heart failures (CHF) yielded an overall classification accuracy of 98.33 %.
Keywords :
electrocardiography; medical signal processing; time-frequency analysis; ECG; HRV time series; adaptive time-frequency interbeat; beat- to-beat heart rate variability; cardiac heart failures; cardiovascular control system; Biomedical signal processing; Cardiology; Control systems; Databases; Dictionaries; Heart rate variability; Nervous system; Signal processing algorithms; Testing; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
Type :
conf
DOI :
10.1109/ICBBE.2008.843
Filename :
4535723
Link To Document :
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