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-) [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 language | English |
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| Title of host publication | Computing in Cardiology 2011 |
| Subtitle of host publication | Volume 38 |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 525-528 |
| Number of pages | 4 |
| Volume | 38 |
| ISBN (Print) | 9781457706127 |
| Publication status | Published - 2011 |
| Event | 38th Computing in Cardiology Conference, CinC 2011 - Zhejiang University, Hangzhou, China Duration: 18 Sept 2011 → 21 Sept 2011 https://web.archive.org/web/20110527173607/https://cinc.org/2011/ (Conference website) http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6156579 (Conference proceedings) |
Publication series
| Name | |
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| ISSN (Print) | 0276-6547 |
Conference
| Conference | 38th Computing in Cardiology Conference, CinC 2011 |
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| Country/Territory | China |
| City | Hangzhou |
| Period | 18/09/11 → 21/09/11 |
| Other | Computing 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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