Presentation 1999/2/2
Extracting the Heart Rate Variability from an Electrocardiogram Sampled at a Very Low Frequency
Allan kardec Barros,
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Abstract(in English) Our study focuses on a new method of estimating the heart rate variability (HRV) which does not need the use of R-wave detection from the electrocardiogram (ECG). Contrary to this detection method which requires a sampling frequency higher than 100 Hz, the one proposed here could calculate the HRV from an ECG signal sampled around 5 Hz with a mean error of 0.03 beats^<-1>. The method also worked efficiently to extract the HRV from an ECG measured from a subject in exercise condition. The overall error was smaller as we low-pass filtered the heart rate variability.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Heart-rate variability / electrocardiogram / instantaneous frequency / wavelets
Paper # EID-149
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Conference Information
Committee EID
Conference Date 1999/2/2(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extracting the Heart Rate Variability from an Electrocardiogram Sampled at a Very Low Frequency
Sub Title (in English)
Keyword(1) Heart-rate variability
Keyword(2) electrocardiogram
Keyword(3) instantaneous frequency
Keyword(4) wavelets
1st Author's Name Allan kardec Barros
1st Author's Affiliation Bio-mimetic Control Research Center, RIKEN()
Date 1999/2/2
Paper # EID-149
Volume (vol) vol.98
Number (no) 573
Page pp.pp.-
#Pages 5
Date of Issue