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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thajudin Ahamed, V.I. Dhanasekaran, P. Karthick, N.G. Joseph, P.K. Naseem, A. Abdul Jaleel, T.K. |
| Copyright Year | 2006 |
| Description | Author affiliation: Nat. Inst. of Technol., Calicut (Thajudin Ahamed, V.I.; Dhanasekaran, P.; Karthick, N.G.) |
| Abstract | Analysis of heart rate variability (HRV) has become a popular non invasive tool for assessing the activities of autonomic nervous system. Depressed HRV has been found in several disorders, like diabetes mellitus (DM) and coronary artery disease, characterised by autonomic nervous dysfunction. A new technique, which searches for pattern repeatability in a time series, is proposed specifically for the analysis of heart rate data. These set of indices, which are termed as pattern repeatability measure and pattern repeatability ratio are compared with approximate entropy and sample entropy. In our analysis, based on the method developed, it is observed that heart rate variability is significantly different for DM patients (p=0.0272), particularly for patients with diabetic foot ulcer (p=0.0001). |
| Starting Page | 110 |
| Ending Page | 113 |
| File Size | 293655 |
| Page Count | 4 |
| File Format | |
| ISBN | 9789810579 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-11 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | NTU |
| Subject Keyword | Heart rate Autonomic nervous system Time series analysis Delta modulation Entropy Pattern recognition Diabetes Heart rate variability Pattern analysis Coronary arteriosclerosis |
| Content Type | Text |
| Resource Type | Article |
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