Heart rate variability dynamics for the prognosis of cardiovascular risk

Statistical, spectral, multi-resolution and non-linear methods were applied to heart rate variability (HRV) series linked with classification schemes for the prognosis of cardiovascular risk. A total of 90 HRV records were analyzed: 45 from healthy subjects and 45 from cardiovascular risk patients....

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Autores:

Ramírez Moreno, David Fernando
Calvo Echeverry, Paulo César
Agredo Rodríguez, Wilfredo
Ramírez Villegas, Juan Felipe
Lam Espinosa, Eric

Tipo de recurso:

Article of journal

Fecha de publicación:

2011

Institución:

Universidad Autónoma de Occidente

Repositorio:

RED: Repositorio Educativo Digital UAO

Idioma:

eng

OAI Identifier:

oai:red.uao.edu.co:10614/11994

Acceso en línea:

http://red.uao.edu.co//handle/10614/11994

Palabra clave:

Inteligencia computacional
Cardiología
Neurociencia computaciona
Computational neuroscience
Cardiology
Artificial intelligence

Rights

openAccess

License

Derechos Reservados - Universidad Autónoma de Occidente