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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Henriques, J. Brito, M. Gil, P. Carvalho, P. Antunes, M. |
| Copyright Year | 2006 |
| Description | Author affiliation: Centre for Informatics & Syst., Coimbra Univ. (Henriques, J.; Brito, M.; Gil, P.; Carvalho, P.) |
| Abstract | This paper proposes a new methodology to identify and correlate patterns on nearly periodic signal, based on signal simplification and clustering approaches. Using cubic Bezier curves some significant signal samples (control points), enabling to segment adequately the original signal, are extracted in a first step. Next, given the correlation among extracted control points, the detection of similarities within the overall signal is then performed through a clustering technique. Although the approach is useful for many types of signals, the compression of electrocardiogram signals (ECG) is here investigated. Results with standard MIT-BIH databases show promising compression ratios, in particular, high compression ratios are found for long duration signals, when the signal presents strong regularities |
| Sponsorship | IEEE CPS |
| Starting Page | 942 |
| Ending Page | 945 |
| File Size | 122360 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.1031 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrocardiography Data compression Signal processing Dictionaries Cardiology Gas insulated transmission lines Informatics Surgery Hospitals Databases |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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