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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih, D.-H. Hsiu-Sen Chiang Ming-Hung Shih |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Douliu, Taiwan (Shih, D.-H.) || Dept. of Inf. Manage., Nat. Taichung Univ. of Technol., Taichung, Taiwan (Hsiu-Sen Chiang) || Dept. of Electr. & Electron. Eng., Univ. of Cincinnati, Cincinnati, OH, USA (Ming-Hung Shih) |
| Abstract | Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. Therefore, the ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. In this study, classifier by using associative Petri net for personalized ECG arrhythmias pattern identification is proposed. Association production rules and reasoning algorithm of APN are created for ECG arrhythmias detection. The performance of our approach compares well with previously reported results and could be a part of monitoring system for the detection of ECG arrhythmias. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 510795 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479908981 |
| DOI | 10.1109/CLUSTER.2013.6702643 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Heart rate variability Production Classification algorithms Myocardium Noise Biological system modeling Reasoning Electrocardiography Arrhythmia Associative Petri Net Association rule |
| Content Type | Text |
| Resource Type | Article |
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