False alarms in intensive care unit monitors: Detection of life-threatening arrhythmias using elementary algebra, descriptive statistics and fuzzy logic

摘要

Aims: A false alarm ratio of up to 86 % has been reported in Intensive Care Unit (ICU) monitors. Such a high value can lead to reduced staff attention and patient deprivation. We present a method for detection of specific arrhythmias - asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia and ventricular flutter / fibrillation - in accordance with the ???2015 Physionet/CinC Challenge???.