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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Besrour, R. Lachiri, Z. Ellouze, N. |
| Copyright Year | 2008 |
| Description | Author affiliation: Electr. Dept., ENIT, Le Belvedere (Besrour, R.; Lachiri, Z.; Ellouze, N.) |
| Abstract | This paper introduces a new method of heartbeat classification based on the support vector machine classifier using morphological descriptors and High Order Statistic using MIT/BIH Arrhythmia database. Using the morphological descriptors and polynomial kernel, we have obtained an average sensitivity equal to 89,92% and an average specificity about 82,45%, and in the case of Gaussian kernel, we have obtained an average sensitivity equal to 94,26% and an average specificity about 79,02%. Using the High Order Statistic and polynomial kernel, we have obtained an average sensitivity equal to 95,86% and an average specificity about 90,20%, and in the case of Gaussian kernel, we have obtained an average sensitivity equal to 97,15% and an average specificity about 93,07%. The association of the two parameters increases the averages of classification rates; so the sensitivity is 98,38% and the specificity to 94,87% with polynomial kernel and respectively about 94,43% et 95,81 % with Gaussian kernel. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1295938 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424417513 |
| DOI | 10.1109/ICTTA.2008.4530053 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-07 |
| Publisher Place | Syria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Arrhythmia Spatial databases Pattern recognition High OrderStatistic Support Vector Machine Statistics morphological descriptors Support vector machines Heart beat Support vector machine classification Classification Electrocardiography Frequency Polynomials Kernel |
| Content Type | Text |
| Resource Type | Article |
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