ECG arrhythmia classification based on optimum-path forest.
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists of steps such as preprocessing, segmentation, feature extraction and classifica...
| Main Author: | |
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| Other Authors: | , , , |
| Format: | article |
| Language: | eng |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://doi.org/10.1016/j.eswa.2012.12.063 |
| Country: | Brazil |
| Oai: | oai:localhost:123456789/4369 |