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.

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Abstract-Ambulatory electrocardiograms (ECG) can be used to monitor patients for myocardial ischemia. Low ECG signal quality, due to contaminants such as motion artifact, can lead to an increase in false alarms leading to alarm fatigue. The false alarms can be reduced by processing only ECGs of adequate quality, quantified by a signal quality index (SQI); contaminated ECG may be discarded. Four SQIs based on an estimate of the signal-to-noise ratio (SNR) were examined, where the mean, median, 25 th percentile and minimum SNR were considered. The SQIs were validated by contaminating 30 second segments of the record 's20031' from the Physionet's LongTerm ST Database with 30 second segments of the record 'em' from the Physionet's Noise Stress Test Database. The SQIs of each segment were compared to the calibrated SNR of the segment. It was found that a strong correlation (Pearson correlation coefficient > 0.85) was exhibited between the SQIs and the calibrated SNR for each segment with SQI based on 25 th percentile exhibiting highest correlation.

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