Heart rate variability and complexity in people with diabetes associated cardiac autonomic neuropathy

A. Khandoker, Herbert Jelinek, M. Palaniswami

Research output: Book chapter/Published conference paperConference paperpeer-review

10 Citations (Scopus)
12 Downloads (Pure)

Abstract

Cardiac autonomic neuropathy (CAN) in diabetes has been called a 'silent killer', because so few patients realize that they suffer from it, and yet its effect can be lethal. Early sub clinical detection of CAN(+/-) and intervention are of prime importance for risk stratification in preventing sudden death due to silent myocardial infarction. This study presents the usefulness of heart rate variability (HRV) and complexity analyses from short term ECG recordings as a screening tool for CAN. Poincaré plot indexes and sample entropy (SampEn) measure of HRV were used for analyzing variability (short and long term) and complexity respectively. Analyses were performed on the different length of HRV records during supine rest. Reduced Poincaré plot patterns and higher SampEn were found in CAN+ group. Significant changes in HRV parameters of CAN+ group during the course of supine rest were found in contrast to control group (CAN-). Our results demonstrated the potential utility of nonlinear HRV parameters in identifying asymptomatic CAN.
Original languageEnglish
Title of host publication30th EMB Annual International Conference
Place of PublicationUSA
PublisherIEEE Press
Pages4696-4699
Number of pages4
DOIs
Publication statusPublished - 2008
EventIEEE Engineering in Medicine and Biology Society (EMBS) Annual International Conference - Vancouver, Canada, Canada
Duration: 20 Aug 200824 Aug 2008

Conference

ConferenceIEEE Engineering in Medicine and Biology Society (EMBS) Annual International Conference
CountryCanada
Period20/08/0824/08/08

Fingerprint Dive into the research topics of 'Heart rate variability and complexity in people with diabetes associated cardiac autonomic neuropathy'. Together they form a unique fingerprint.

Cite this