Analysis of heart rate variability on a massively parallel processor

The K/sub 2/ entropy, and the correlation dimension are commonly used measures of chaotic activity in complex dynamic systems. The design and implementation of a massively parallel algorithm on the MasPar MP-2 for the computation of K/sub 2/ entropy and the correlation dimension is presented. The al...

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Bibliographic Details
Published inProceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing Vol. 2; pp. 166 - 169 vol.2
Main Authors Bhandarkar, S.M., Chirravuri, S., Whitmire, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Biology computing
Cardiology
Chaos
Computer science
Entropy
Heart rate
Heart rate variability
Nonlinear dynamical systems
Parallel algorithms
Time measurement
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ISBN9780818676239
081867623X
ISSN0190-3918
DOI10.1109/ICPP.1996.537396

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Summary:The K/sub 2/ entropy, and the correlation dimension are commonly used measures of chaotic activity in complex dynamic systems. The design and implementation of a massively parallel algorithm on the MasPar MP-2 for the computation of K/sub 2/ entropy and the correlation dimension is presented. The algorithm is used to compute the K/sub 2/ entropy and correlation dimension of experimental heart rate data. Experimental results on canine subjects support the claim that K/sub 2/ entropy and the correlation dimension can be used as a measure of the heart rate variability and the level of chaos present in the nonlinear dynamics underlying the heart rate data. The parallel algorithm has potential for use as a tool for cardiac health assessment and diagnosis of certain cardiac ailments.
ISBN:9780818676239
081867623X
ISSN:0190-3918
DOI:10.1109/ICPP.1996.537396