2003 · 45 citations · 7 references
EngineeringBiomedical EngineeringCardiologyBiomedical Signal ProcessingElectrophysiologyTime Series AnalysisCardiac AssessmentCardiac Signal ProcessingCardiovascular MonitoringElectrocardiogram AnalysisElectrocardiographyHeart Rate VariabilityCardiac Ischemia RecognitionDisplacementEcg Feature ExtractionElectrocardiogram Feature ExtractionHolter Electrocardiogram AnalysisLogistic RegressionMyocardial Infarction DetectionSt Segment Monitoring
The authors present an algorithm which develops a set of beat-to-beat time series. The algorithm provides the support for a complete and operator-independent offline analysis of ambulatory electrocardiogram (ECG) recordings, spanning heart rate variability, repolarization duration variability, and detection of transient myocardial ischemia. The algorithm uses variables extracted by the frequency distributions of ST segment displacements. A logistic regression, applied to the data extracted from 20 certified normal and 24 certified ischemic Holter ECGs, enhanced the classification performance of ST segment depression in identifying ischemic episodes. Sensitivity and specificity reached 95.8% and 90%, respectively.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
7
Ambulatory ST segment monitoring. Problems, pitfalls, solutions, and clinical application.
Vijay Balasubramanian, Avijit Lahiri, H L Green et al. · Heart · 1980 · 114 citations · Full text