title: ECG fingerprints of obstructed breathing in sleep apnea patients.
abstract: This article aims to identify the potential indicators of obstructive apnea (OA) in the ECG, based on the traces of QRS area from multiple ECG leads. We compare the difference in these traces' phase relation found during and after each OA episode to the difference between the first and second half of the OA and between split halves of epochs of normal respiration (NR).
authors.affiliation: Medical Informatics, Heilbronn University, Heilbronn, Germany. christoph.maier@hs-heilbronn.de
authors.forename: Christoph
authors.initials: C
authors.lastname: Maier
authors.forename: Vera
authors.initials: V
authors.lastname: Rödler
authors.forename: Heinrich
authors.initials: H
authors.lastname: Wenz
authors.forename: Hartmut
authors.initials: H
authors.lastname: Dickhaus
mesh_terms: D000465:Algorithms; D019540:Area Under Curve; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D009068:Movement; D017286:Polysomnography / Q000379:methods*; D012123:Pulmonary Ventilation; D012372:ROC Curve; D012119:Respiration; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012891:Sleep Apnea Syndromes / Q000503:physiopathology*