A risk stratification system to discriminate congestive heart failure patients using multivalued coarse-graining Lempel-Ziv complexity

Chandrakar Kamath

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A risk stratification system to discriminate congestive heart failure (CHF) subjects from healthy subjects is proposed. All the previous research to detect CHF patients using Lempel-Ziv complexity measure had used binary coarsegraining (BLZC). In this work, we show that employing multi-valued coarsegraining Lempel-Ziv complexity (MLZC) improves the performance of classification. This finding is confirmed using receiver operating characteristic (ROC) plots. Compared to BLZC, MLZC with six partitions showed higher diagnostic parameters. The risk stratification system proposed in this paper will be a valuable asset to the clinician in the separation of CHF patients from the healthy group.

Original languageEnglish
Pages (from-to)12-24
Number of pages13
JournalJournal of Engineering Science and Technology
Volume10
Issue number1
Publication statusPublished - 01-01-2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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