PD2i heart rate complexity measure can detect Cardiac autonomic neuropathy: An alternative test to Ewing battery

Author

Khandoker, Ahsan H. ; Weiss, Daniel N. ; Skinner, James E. ; Anchin, Jerry M. ; Imam, Md Hasan ; Jelinek, Herbert F. ; Palaniswami, Marimuthu

Author_Institution

Khalifa Univ., Abu Dhabi, United Arab Emirates

fYear

2011

fDate

18-21 Sept. 2011

Firstpage

525

Lastpage

528

Abstract

This study evaluates the usefulness of a new heart rate variability (HRV) complexity measure, the Point Correlation Dimension (PD2i), derived from short term ECG recordings, as a screening tool for Cardiac autonomic neuropathy (CAN). The PD2i was developed to measure complexity in nonstationary data with some tolerance for background noise. ECG recordings during supine rest were acquired from diabetic subjects with CAN (CAN+) [10 subjects] and without CAN (CAN-) [33 subjects] and analyzed. PD2i indices (mean, standard deviation, minimum and maximum) were used for analyzing HRV signals of all subjects. Significantly reduced (p <; 0.01) PD2i indexes were found in CAN+ group, which could be a practical diagnostic and prognostic marker.

Keywords

battery testers; diseases; electrocardiography; neurophysiology; patient diagnosis; Ewing battery; HRV signals; PD2i heart rate complexity measurement; alternative testing; background noise; cardiac autonomic neuropathy detection; diabetic subjects; nonstationary data; point correlation dimension; practical diagnostics; prognostic marker; short term ECG recordings; supine rest; Complexity theory; Correlation; Diabetes; Electrocardiography; Heart rate variability; Nickel;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing in Cardiology, 2011

Conference_Location

Hangzhou

ISSN

0276-6547

Print_ISBN

978-1-4577-0612-7

Type

conf

Filename

6164618