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Influence of embedding dimension on distribution entropy in analyzing heart rate variability

Version 2 2024-06-06, 02:59
Version 1 2017-04-05, 10:46
conference contribution
posted on 2024-06-06, 02:59 authored by RK Udhayakumar, P Li, M Palaniswami, Chandan KarmakarChandan Karmakar
Distribution entropy (DistEn) is a recent measure of complexity that is used to analyze Heart Rate Variability (HRV) data. DistEn which is a function of data length N, number of bins M and embedding dimension m is known to be stable and consistent with respect to parameters N and M respectively. Also, (N, M) are known to have a combined effect in deciding performance of DistEn as a classification feature. But, all such analysis have mostly ignored the influence of the third parameter m on DistEn properties. Though a random fixed choice of m value has so far succeeded in portraying the effect of other parameters on DistEn, it is considered equally important to reveal the influence of a varying m on DistEn and its characteristics. This study examines the impact of m on the stability, consistency and performance of DistEn when the latter is used to analyze HRV data belonging to (i) healthy subjects discerned by age and (ii) subjects discerned by their heart's physiologic condition. Here, data length N of each signal is varied from 50 to 1000, while the number of bins M used varies from 100 to 2000. Information pertaining to m variations is obtained by carrying out experiments at four different values of embedding dimension; m = 2, 3,4 and 5. The study shows that the stability, consistency and classification performance of DistEn is not much influenced by changes in m.

History

Pagination

6222-6225

Location

Orlando, Florida

Start date

2016-08-16

End date

2016-08-20

ISSN

1557-170X

ISBN-13

9781457702204

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2016, IEEE

Title of proceedings

EMBC 2016 : Proceedings of the 38th IEEE Annual International Conference of the Engineering in medicine and Biology Society

Event

Engineering in Medicine and Biology Society. IEEE Annual International Conference (38th : 2016 : Orlando, Florida)

Publisher

IEEE

Place of publication

Piscataway, N.J.