1D Convolutional Neural Network for Detecting Ventricular Heartbeats
This paper shows a novel approach for detecting ventricular heartbeats using a 1D Convolutional Neural Network (1D-CNN). The algorithm input is the raw ECG signal, i.e., no signal pre-processing nor feature extraction are involved. The output of the 1D-CNN is filtered using a combination of linear a...
- Autores:
-
Suárez-León, A. A.
Núñez, José R.
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6054
- Acceso en línea:
- https://hdl.handle.net/11323/6054
https://repositorio.cuc.edu.co/
- Palabra clave:
- ECG
1D-CNN
Heartbeat classifier
- Rights
- openAccess
- License
- CC0 1.0 Universal