DocumentCode
1513745
Title
Heart instantaneous frequency (HIF): an alternative approach to extract heart rate variability
Author
Barros, Allan Kardec ; Ohnishi, Noboru
Author_Institution
Dept. of Electr. Eng., Univ. Federal do Maranhao, Brazil
Volume
48
Issue
8
fYear
2001
Firstpage
850
Lastpage
855
Abstract
The authors´ study focuses on a new method of estimating the heart rate variability (HRV) which does not require the use of electrocardiogram (ECG) R-wave detection. Contrary to the R-wave detection method which requires a sampling frequency higher than 100 Hz, the one proposed here can be used to calculate the HRV from an ECG signal sampled at a frequency of approximately 5 Hz with a relative mean error of 0.03. This new method is based on extracting the instantaneous fundamental frequency from the EGG. The method could be efficiently used to extract the HRV from an ECG measured for healthy subjects performing an exercise in which the HRV increases linearly with time, and for subjects with respiratory and cardiac problems. The overall error decreased as the authors low-pass filtered the HRV with lower cut-off frequencies. Moreover, it was shown that the method could be efficiently used to calculate the HRV from blood pressure measurements and to be robust to noise.
Keywords
electrocardiography; feature extraction; medical signal processing; 100 Hz; 5 Hz; analytic signal; blood pressure measurements; cardiac problems; cut-off frequencies; healthy subjects; heart instantaneous frequency; heart rate variability extraction approach; low-pass filtering; respiratory problems; Blood pressure; Cutoff frequency; Electrocardiography; Heart rate detection; Heart rate variability; Low pass filters; Noise measurement; Performance evaluation; Sampling methods; Time measurement; Algorithms; Arrhythmias, Cardiac; Blood Pressure; Electrocardiography; Exertion; Heart Rate; Humans; Signal Processing, Computer-Assisted; Sleep Apnea Syndromes;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.936361
Filename
936361
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