Sleep apnea detection from ECG signal: Analysis on optimal features, principal components, and nonlinearity

5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

Volumn , Issue , 2011, Pages

  Isa, Sani M ^a   Fanany, Mohamad Ivan ^a   Jatmiko, Wisnu ^a   Arymurthy, Aniati Murni ^a  

^a UNIVERSITY OF INDONESIA   (Indonesia)

Author keywords

Feature selection; Nonlinearity; PCA; Sleep apnea

Indexed keywords

CLASSIFICATION ACCURACY; CROSS VALIDATION; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; MODEL SELECTION; NON-LINEAR; NON-LINEARITY; PCA; PRINCIPAL COMPONENT; PRINCIPAL COMPONENTS; RANDOM SAMPLING; RBF(RADIAL BASIS FUNCTION); SLEEP APNEA; SLEEP APNEA DETECTION; TARGET CLASS;

BIOINFORMATICS; BIOMEDICAL ENGINEERING; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; RADIAL BASIS FUNCTION NETWORKS; SIGNAL DETECTION; SLEEP RESEARCH;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79960127739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icbbe.2011.5780285     Document Type: Conference Paper

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