Biosignal Quality Analysis in Ambulatory Electrocardiograms to Enhance Detection of Myocardial Ischemia
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Patients undergoing non-cardiac surgery can have an elevated risk of cardiac complication. Myocardial ischemia, a lack of oxygen in the heart tissue, can precede these complications and is detectable via changes in a patient`s electrocardiogram (ECG). Excessive noise during mobile ECG monitoring can result in frequent false detection of ischemia, rendering mobile ischemia detection clinically impractical. This thesis investigates modification of alarms on the basis of signal quality to increase the positive predictive value (PPV) of mobile ischemia detection. First, methods are presented and validated to automatically quantify ECG signal quality in a single ECG lead via a signal quality index (SQI). This thesis then proposes and evaluates three system approaches to modifying alarms using this SQI. Resulting modified alarms reveal increased PPV from 0.41 to 0.85 while maintaining sensitivity. These results indicate that these methods could help provide for practical mobile monitoring ischemia monitoring.
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Copyright © 2015 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2015
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quesnel-biosignalqualityanalysisinambulatoryelectrocardiograms.pdf | 2023-05-04 | Public | Download |