AR modeling of heart rate signals

The electrocardiogram (ECG) is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks etc may contain useful information about the nature of disease afflicting the heart. However, the human...

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Bibliographic Details
Published in2004 IEEE Region 10 Conference TENCON 2004 Vol. B; pp. 422 - 426
Main Authors Nayak, J., Bhat, P.S., Acharya, U.R., Niranjan, U.C., Ong Wai Sing
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
AR Model
arrhythmia
Biological system modeling
Biological systems
Biology computing
Cardiology
electrocardiogram
Electrocardiography
FFT
Heart rate
Heart rate variability
Humans
R-R interval
Resonant frequency
Signal analysis
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Summary:The electrocardiogram (ECG) is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks etc may contain useful information about the nature of disease afflicting the heart. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the heart rate variability signal is used as the base signal for the highly useful in diagnostics. This paper deals with the analysis of eight cardiac abnormalities using Auto Regressive (AR), modeling technique. The results are tabulated below for specific example.
ISBN:0780385608
9780780385603
DOI:10.1109/TENCON.2004.1414622