Ventricular Fibrillation detection using time-frequency and the KNN classifier without parameter extraction
This work describes new techniques to improve VF detection and its separation from Ventricular Tachycarida (VT) and other rhythms. It is based on time-frequency representation of the ECG and its use as input in an automatic classifier (K-nearest neighbours - KNN) without any further signal parameter...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universitat Politècnica de València
2017-12-01
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| Series: | Revista Iberoamericana de Automática e Informática Industrial RIAI |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/RIAI/article/view/8833 |
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