Feature subset selection and classification of intracardiac electrograms during atrial fibrillation
Several approaches have been adopted for the identification of arrhythmogenic sources maintaining atrial fibrillation (AF). In this paper, we propose a classifier that discriminates between four classes of atrial electrogram (EGM). We delved into the relation between levels of fractionation in EGM s...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/4268
- Acceso en línea:
- http://hdl.handle.net/11407/4268
- Palabra clave:
- Atrial fibrillation
Electroanatomical mapping
Fractionated electrograms
K-NN classifier
Rotor
Ablation
Diseases
Feature extraction
Genetic algorithms
Nearest neighbor search
Rotors
Text processing
Atrial electrograms
Atrial fibrillation
Electrograms
Feature extraction methods
Feature subset selection
Intracardiac electrograms
k-NN classifier
Radio-frequency Ablation
Biomedical signal processing
- Rights
- License
- http://purl.org/coar/access_right/c_16ec