AR modeling of heart rate signals

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dc.contributor.authorNayak, J.
dc.contributor.authorSubbanna Bhat, P.
dc.contributor.authorAcharya, A.U.
dc.contributor.authorNiranjan, U.C.
dc.contributor.authorSing, O.W.
dc.date.accessioned2026-02-06T06:41:12Z
dc.date.issued2004
dc.description.abstractThe 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. © 2004 IEEE.
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON, 2004, Vol.2004-January, , p. 422-426
dc.identifier.issn21593442
dc.identifier.urihttps://doi.org/10.1109/TENCON.2004.1414622
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33413
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAR model
dc.subjectArrhythmia
dc.subjectElectrocardiogram
dc.subjectFFT
dc.subjectHeart rate
dc.subjectR-R interval
dc.titleAR modeling of heart rate signals

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