Electrocardiogram Signal Quality Analysis to Reduce False Alarms in Myocardial Ischemia Monitoring

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.


Abdelazez, Mohamed Hazem




The probability of myocardial ischemia is increased following a non-cardiac surgery, therefore, elevating the incidence of post-operative cardiac events. Myocardial ischemia causes a deviation of ST segment in the electrocardiogram (ECG), enabling targeted administration of β-Blockers; however, utilization of ECG was hindered by false alarms. The objective of this thesis is to develop a system to gate false alarms using the signal quality of the ECG and quality of the ST segment deviation estimate. The system was tested using ECG contaminated with motion artifact noise. The system gated 86% of all false alarms attaining a recall and precision of 0.72 and 0.73, respectively, marking an increase of 0.42 in precision and a decrease of 0.05 in recall from the bedside monitor performance (precision: 0.31, recall: 0.78). The signal quality analysis was extended to an ECG biometrics system, gating 57.8% of false identifications at the loss of 8.14% of true identifications.


Engineering - Biomedical
System Science




Carleton University

Thesis Degree Name: 

Master of Applied Science: 

Thesis Degree Level: 


Thesis Degree Discipline: 

Engineering, Biomedical

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).