DocumentCode :
2820127
Title :
Characterization of the Valsalva maneuver using wavelet transform
Author :
Risk, M. ; Berghoff, M. ; Freeman, R.
Author_Institution :
Beth Israel Deconess Med. Center, Harvard Med. Sch., Boston, MA, USA
fYear :
2000
fDate :
2000
Firstpage :
411
Lastpage :
414
Abstract :
A method to characterize the Valsalva maneuver using the wavelet transform is presented. Frequency domain analysis of heart rate variability is an important tool to assess the cardiovascular system, which is partially controlled by the autonomic nervous system. Fluctuations in heart rate at low frequencies (<0.15 Hz) are mediated both by the sympathetic and parasympathetic nervous systems whereas higher frequency fluctuations (>0.15 Hz) are mediated predominantly by the parasympathetic nervous system. The Valsalva maneuver activates both branches of the autonomic nervous system. A heart rate time series was calculated from the ECG and then analysed using Daubechies 4 Wavelet transform, calculating the followings bands: 0.034-0.067 Hz, 0.067-0.125 Hz, 0.125-0.25 Hz and 0.25-0.5 Hz. The results support the established physiological knowledge of the Valsalva maneuver. The proposed method using the wavelet transform technique may provide additional information on the mechanisms involved in the Valsalva maneuver
Keywords :
electrocardiography; frequency-domain analysis; medical signal processing; time series; wavelet transforms; 0.034 to 0.5 Hz; Daubechies 4 Wavelet transform; ECG analysis; Valsalva maneuver characterization; autonomic nervous system branches activation; electrodiagnostics; heart rate fluctuations; heart rate time series; higher frequency fluctuations; parasympathetic nervous system; sympathetic nervous system; Autonomic nervous system; Cardiovascular system; Control systems; Fluctuations; Frequency domain analysis; Heart rate; Heart rate variability; Parasympathetic nervous system; Resonant frequency; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 2000
Conference_Location :
Cambridge, MA
ISSN :
0276-6547
Print_ISBN :
0-7803-6557-7
Type :
conf
DOI :
10.1109/CIC.2000.898544
Filename :
898544
Link To Document :
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