Arrhythmia Detection and Classification using Morphological and Dynamic Features of ECG Signals
Computer-assisted cardiac arrhythmia detection and classification can play a significant role in the management of cardiac disorders. In this paper, we propose a new approach for arrhythmia classification based on a combination of morphological and dynamic features. Wavelet Transform (WT) and Indepe...
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | book |
| Idioma: | eng |
| Publicado em: |
2010
|
| Assuntos: | |
| Texto completo: | https://hdl.handle.net/10216/91922 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/91922 |