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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Veröffentlicht in:Proceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing Jg. 2; S. 166 - 169 vol.2
Hauptverfasser: Bhandarkar, S.M., Chirravuri, S., Whitmire, D.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 1996
Schlagworte:
Biology computing
Cardiology
Chaos
Computer science
Entropy
Heart rate
Heart rate variability
Nonlinear dynamical systems
Parallel algorithms
Time measurement
ISBN:9780818676239, 081867623X
ISSN:0190-3918
Online-Zugang:Volltext
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Zusammenfassung: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