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

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Bibliographic Details
Main Author: Pinho, André (author)
Other Authors: Pombo, Nuno (author), Silva, Bruno M.C. (author), Bousson, K. (author), Garcia, Nuno M. (author)
Format: article
Language:eng
Published: 2020
Subjects:
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
Online Access:http://hdl.handle.net/10400.6/8254
Country:Brazil
Oai:oai:ubibliorum.ubi.pt:10400.6/8254

Internet

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

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