Analysis of heart rate variability on a massively parallel processor

Author

Bhandarkar, Suchendra M. ; Chirravuri, Sridhai ; Whitmire, David

Author_Institution

Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA

Volume

2

fYear

1996

fDate

12-16 Aug 1996

Firstpage

166

Abstract

The K₂ 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 K₂ entropy and the correlation dimension is presented. The algorithm is used to compute the K₂ entropy and correlation dimension of experimental heart rate data. Experimental results on canine subjects support the claim that K₂ 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

Keywords

biomedical measurement; cardiology; medical diagnostic computing; parallel algorithms; MasPar MP-2; canine subjects; cardiac health assessment; chaos; chaotic activity; diagnosis; heart rate data; heart rate variability; massively parallel algorithm; nonlinear dynamics; Biology computing; Cardiology; Chaos; Computer science; Entropy; Heart rate; Heart rate variability; Nonlinear dynamical systems; Parallel algorithms; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on

Conference_Location

Ithaca, NY

ISSN

0190-3918

Print_ISBN

0-8186-7623-X

Type

conf

DOI

10.1109/ICPP.1996.537396

Filename

537396