Atrial fibrillation classification based on MLP networks by extracting Jitter and Shimmer parameters
Atrial fibrillation (AF) is the most common cardiac anomaly and one that potentially threatens human life. Due to its relation to a variation in cardiac rhythm during indeterminate periods, long-term observations are necessary for its diagnosis. With the increase in data volume, fatigue and the comp...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10198/24678 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/24678 |