Can patient-specific classification improve the accuracy of sleep apnea detection from the ECG?

IFMBE Proceedings

Volumn 25, Issue 4, 2009, Pages 1295-1298

  Maier, Christoph ^a   Wenz, H ^b   Dickhaus, H ^c  

^a HEILBRONN UNIVERSITY   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Body position; Confounding factors; Electrocardiogram; Individual classification; Sleep apnea

Indexed keywords

BIOINFORMATICS; BIOMECHANICS; BIOMEDICAL ENGINEERING; BIOPHYSICS; CLASSIFICATION (OF INFORMATION); ELECTROCARDIOGRAPHY; LEAD COMPOUNDS; MEDICAL PHYSICS; SLEEP RESEARCH;

ADDITIONAL CONTROL; BODY POSITIONS; CONFOUNDING FACTORS; INDIVIDUAL VARIABILITY; OVERALL ACCURACIES; SLEEP APNEA; SLEEP APNEA DETECTION; SLEEP-DISORDERED BREATHING;

MEDICAL IMAGE PROCESSING;

EID: 77950109904     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-03882-2_343     Document Type: Conference Paper

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