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

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

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

2 Citations (Scopus)


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-) [33subjects] 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.
Original languageEnglish
Title of host publicationComputing in Cardiology 2011
Subtitle of host publicationVolume 38
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781457706127
Publication statusPublished - 2011
Event38th Computing in Cardiology Conference, CinC 2011
- Zhejiang University, Hangzhou, China
Duration: 18 Sept 201121 Sept 2011
http://cinc.org/2011/ (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6156579 (Conference proceedings)

Publication series

ISSN (Print)0276-6547


Conference38th Computing in Cardiology Conference, CinC 2011
OtherComputing in Cardiology provides an international forum for scientists and professionals from the fields of medicine, physics, engineering and computer science, and has been held annually since 1974.
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