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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen, S.W. Chen, H.C. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electron. Eng., Chang Gung Univ., Tao-Yuan, Taiwan (Chen, S.W.; Chen, H.C.) |
| Abstract | In this paper, a real-time QRS beat classification system devised based on a nonlinear trimmed moving averaging filter is presented. Such a nonlinear system aims to identify the abnormal beat of ventricular origin from the normal one. The proposed beat classifier can function in parallel with a real-time QRS detector, permitting the tasks of beat detection and diagnosis to alternate with each other. Algorithm performance was evaluated against the ECG recordings selected from the MIT-BIH arrhythmia database. Numerical results demonstrated that over 99.8% beat identification rate can be achieved by the algorithm. |
| Sponsorship | European Soc. of Cardiology Nat. Inst. of Health, USA |
| Starting Page | 577 |
| Ending Page | 580 |
| File Size | 256794 |
| Page Count | 4 |
| File Format | |
| ISBN | 078038170X |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.2003.1291221 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-09-21 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Filters Feature extraction Nonlinear systems Detectors Heart rate Electrocardiography Databases Biomedical monitoring Computerized monitoring |
| Content Type | Text |
| Resource Type | Article |
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