Detección automática de pacientes con arritmias auriculares en registros electrocardiográficos
The purpose of this research work is the automatic detection of patients with atrial arrhythmias in The purpose of this research work is the automatic detection of patients with atrial arrhythmias using electrocardiographic records, by means of feature extraction and artificial intelligence methods....
- Autores:
-
Guerrero García, Samuel
Romero Torres, Sergio Andres
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad Antonio Nariño
- Repositorio:
- Repositorio UAN
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uan.edu.co:123456789/4587
- Acceso en línea:
- http://repositorio.uan.edu.co/handle/123456789/4587
- Palabra clave:
- Enfermedades cardiovasculares
Machine learning
Extracción de características
Transformada wavelet
Transformada discreta del coseno
Cardiovascular diseases
Machine learning
Feature extraction
Wavelet transform
Discrete cosine transform
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
| Summary: | The purpose of this research work is the automatic detection of patients with atrial arrhythmias in The purpose of this research work is the automatic detection of patients with atrial arrhythmias using electrocardiographic records, by means of feature extraction and artificial intelligence methods. Taking into account the importance of the analysis of biomedical signals in the development of technologies to prevent, diagnose and treat cardiovascular diseases, which are the main cause of death in the world and in the department of Bolivar, a software is developed in the MATLAB environment, using databases. The selected databases correspond to 49 ECG records of atrial arrhythmias, belonging to patients from the University Hospital of Valencia in Spain and provided by a local researcher. |
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