On-line detection of apnea/hypopnea events using SpO2 signal: A rule-based approach employing binary classifier models

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 1, 2014, Pages 231-239

  Koley, Bijoy Laxmi ^a   Dey, Debangshu ^b  

^a DR B C ROY ENGINEERING COLLEGE   (India)

^b JADAVPUR UNIVERSITY   (India)

Author keywords

Event detection; Oxygen saturation; Recursive feature elimination; Support vector machine (SVM)

Indexed keywords

BLUETOOTH; CLASSIFICATION (OF INFORMATION); NONINVASIVE MEDICAL PROCEDURES; OXIMETERS; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS;

AUTOMATIC DETECTION; BLUETOOTH ENABLED MOBILES; ENSEMBLE CLASSIFIERS; EVENT DETECTION; OXYGEN SATURATION; RECURSIVE FEATURE ELIMINATION; RULE-BASED APPROACH; WINDOWING TECHNIQUES;

BIOMEDICAL SIGNAL PROCESSING;

OXYGEN;

ADULT; AGED; ARTICLE; BLOOD; FACTUAL DATABASE; HUMAN; MIDDLE AGED; PATHOPHYSIOLOGY; POLYSOMNOGRAPHY; REPRODUCIBILITY; SIGNAL PROCESSING; SLEEP DISORDERED BREATHING; SUPPORT VECTOR MACHINE;

ADULT; AGED; DATABASES, FACTUAL; HUMANS; MIDDLE AGED; OXYGEN; POLYSOMNOGRAPHY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA SYNDROMES; SUPPORT VECTOR MACHINES;

EID: 84892568182     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2266279     Document Type: Article

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