Detection of transients in heart rate variability signals using a time-varying varying Karhunen-Loeve expansion

B. Aysin; L.F. Chaparro; I. Grave; V. Shusterman

doi:10.1109/ICASSP.2000.860177

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Detection of transients in heart rate variability signals using a time-varying varying Karhunen-Loeve expansion

B. Aysin, L.F. Chaparro, I. Grave and V. Shusterman

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), Vol.6, pp.3586-3589 vol.6

2000

DOI: 10.1109/ICASSP.2000.860177

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Abstract

We present a method to capture transient changes in heart-rate variability (HRV) signals. To deal with the nonstationarities in these signals we propose a time-dependent Karhunen-Loeve expansion. Using this expansion together with an entropy criterion we are able to partition the signal into quasi-stationary segments that can be further analyzed. Local eigenvalues and eigenvectors are then computed from a time-varying autocorrelation matrix in each segment. Application of our procedure resides in the dynamic assessment of the activity of the autonomic nervous system. An example is the capture of changes in HRV that might predict the initiation of cardiac arrhythmias. Previously, after performing and analyzing a stationary Karhunen-Loeve expansion of HRV signals, we showed that a significant increase in the dynamic range of the coefficients occurs shortly before the onset of life-threatening disturbances of cardiac rhythm. With the method proposed in this paper, we extend our previous results and we attempt a more precise determination of transients associated with changes in the autonomic nervous system.

Autocorrelation

Autonomic nervous system

Dynamic range

Eigenvalues and eigenfunctions

Entropy

Heart rate detection

Heart rate variability

Performance analysis

Rhythm

Signal analysis

Details

Title: Subtitle: Detection of transients in heart rate variability signals using a time-varying varying Karhunen-Loeve expansion
Creators: B. Aysin - University of Pittsburgh
L.F. Chaparro - University of Pittsburgh
I. Grave - University of Pittsburgh
V. Shusterman - University of Pittsburgh
Resource Type: Conference proceeding
Publication Details: 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), Vol.6, pp.3586-3589 vol.6
Publisher: IEEE
DOI: 10.1109/ICASSP.2000.860177
ISSN: 1520-6149
eISSN: 2379-190X
Language: English
Date published: 2000
Academic Unit: Cardiovascular Medicine; Internal Medicine
Record Identifier: 9984359818002771

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