DocumentCode :
186193
Title :
Signal quality and false myocardial ischemia alarms in ambulatory electrocardiograms
Author :
Quesnel, P.X. ; Chan, Adrian D. C. ; Yang, Hongming
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear :
2014
fDate :
11-12 June 2014
Firstpage :
1
Lastpage :
5
Abstract :
Electrocardiography (ECG) can be used to monitor patients for myocardial ischemia, which is a precursor to myocardial infarction. Ambulatory ECG is often contaminated with motion artifact. In this paper, we investigate the effect of motion artifact on myocardial ischemia alarms and on estimates of the ECG signal quality. The presence of motion artifact in an ambulatory ECG leads to false identification of myocardial ischemia. A signal quality index, based on the consistency of the shape of PQRST complexes, is able to automatically identify the degradation in signal quality associated with the false positive identification of myocardial ischemia. Since myocardial ischemia typically presents over longer periods of time than motion artifact, the signal quality index may be used to simply gate alarms generated during periods of poor signal quality. Consequently, the automatic detection of ambulatory ECG quality may lead to increased specificity of myocardial ischemia detection while maintaining the sensitivity of commercially available systems.
Keywords :
electrocardiography; medical disorders; medical signal detection; patient monitoring; ECG signal quality; PQRST complex shape consistency; ambulatory ECG quality; ambulatory electrocardiogram; automatic detection; electrocardiography; false identification; false myocardial ischemia alarms; false positive identification; motion artifact effect; myocardial infarction; myocardial ischemia detection; patient monitoring; signal quality degradation; signal quality index; Biomedical monitoring; Electrocardiography; Monitoring; Motion segmentation; Myocardium; Pollution measurement; Signal to noise ratio; biosignal quality analysis; electrocardiography; myocardial ischemia; signal processing; signal-to-noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
Type :
conf
DOI :
10.1109/MeMeA.2014.6860078
Filename :
6860078
Link To Document :
بازگشت