Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection

Submitted by Nuno Garcia (nmgs@ubi.pt) on 2020-01-14T12:13:29Z No. of bitstreams: 1 2019 - Towards an accurate sleep apnea detection based on ECG signal - The quintessential of a wise feature selection.pdf: 1719907 bytes, checksum: 330863a4b7ebee461ecbd1d9ba0af3a1 (MD5)

Detalhes bibliográficos
Autor principal: Pinho, André (author)
Outros Autores: Pombo, Nuno (author), Silva, Bruno M.C. (author), Bousson, K. (author), Garcia, Nuno M. (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Sleep apnea
Electrocardiogram (ECG)
Heart rate variability (HRV)
ECG-derived respiration (EDR)
Feature selection
Classification
Artificial neural network (ANN)
Support vector machine (SVM)
Linear discriminant analysis (LDA)
Partial least squares regression (PLS)
Regression analysis (REG)
Wiener–Hopf equation (wienerHopf)
Augmented naive bayesian classifier (aNBC)
Perceptron learning algorithm
Texto completo:http://hdl.handle.net/10400.6/8254
País:Brasil
Oai:oai:ubibliorum.ubi.pt:10400.6/8254

Texto Completo

http://hdl.handle.net/10400.6/8254

Registros relacionados