title: Signal Quality Analysis of Ambulatory Electrocardiograms to Gate False Myocardial Ischemia Alarms.
abstract: The objective of this study is to propose and validate an alarm gating system for a myocardial ischemia monitoring system that uses ambulatory electrocardiogram. The PeriOperative ISchemic Evaluation study recommended the selective administration of β blockers to patients at risk of cardiac events following noncardiac surgery. Patients at risk are identified by monitoring ST segment deviations in the electrocardiogram (ECG); however, patients are encouraged to ambulate to improve recovery, which deteriorates the signal quality of the ECG leading to false alarms.
  
  
  
  The proposed alarm gating system computes a signal quality index (SQI) to quantify the ECG signal quality and rejects alarms with a low SQI. The system was validated by artificially contaminating ECG records with motion artifact records obtained from the long-term ST database and MIT-BIH noise stress test database, respectively.
  
  
  
  Without alarm gating, the myocardial ischemia monitoring system attained a Precision of 0.31 and a Recall of 0.78. The alarm gating improved the Precision to 0.58 with a reduction of Recall to 0.77.
  
  
  
  The proposed system successfully gated false alarms with future work exploring the misidentification of fiducial points by myocardial ischemia monitoring systems.
  
  
  
  The reduction of false alarms due to the proposed system will decrease the incidence of the alarm fatigue condition typically found in clinicians. Alarm fatigue condition was rated as the top patient safety hazard from 2012 to 2015 by the Emergency Care Research Institute.
authors: Mohamed
authors: M
authors: Abdelazez
authors: Patrick X
authors: PX
authors: Quesnel
authors: Adrian D C
authors: ADC
authors: Chan
authors: Homer
authors: H
authors: Yang
mesh_terms: D056902:Clinical Alarms; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation / Q000379:methods*; D005189:False Positive Reactions; D006801:Humans; D017202:Myocardial Ischemia / Q000175:diagnosis*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio