DocumentCode :
1591774
Title :
Beat-to-beat quantification and analysis of ST displacement from Holter ECGs: a new approach to ischemia detection
Author :
Badilini, F. ; Merri, M. ; Benhorin, J. ; Moss, A.J.
Author_Institution :
Rochester Univ., NY, USA
fYear :
1992
Firstpage :
179
Lastpage :
182
Abstract :
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
Keywords :
electrocardiography; medical signal processing; Holter ECGs; ST displacement analysis; algorithm; beat-to-beat time series; frequency distribution; heart rate variability; ischemia detection; logistic regression; operator-independent offline analysis; repolarization duration variability; transient myocardial ischemia; Algorithm design and analysis; Data mining; Electrocardiography; Frequency; Heart rate detection; Heart rate variability; Ischemic pain; Logistics; Myocardium; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1992, Proceedings of
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-3552-5
Type :
conf
DOI :
10.1109/CIC.1992.269417
Filename :
269417
Link To Document :
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