title: Reducing false arrhythmia alarm rates using robust heart rate estimation and cost-sensitive support vector machines.
abstract: To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cost-sensitive support vector machines. The PhysioNet MIMIC II database and the 2015 PhysioNet/CinC Challenge public database were used as the training dataset; the 2015 Challenge hidden dataset was for testing. Each record had an alarm labeled with asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia or ventricular flutter/fibrillation. Before alarm onsets, 300 s multimodal data was provided, including electrocardiogram, arterial blood pressure and/or photoplethysmogram. A signal quality modified Kalman filter achieved robust heart rate estimation. Based on this, we extracted heart rate variability features and statistical ECG features. Next, we applied a genetic algorithm (GA) to select the optimal feature combination. Finally, considering the high cost of classifying a true arrhythmia as false, we selected cost-sensitive support vector machines (CSSVMs) to classify alarms. Evaluation on the test dataset showed the overall true positive rate was 95%, and the true negative rate was 85%.
authors.affiliation: Institute of Electronics, Chinese Academy of Sciences, Beijing, People's Republic of China. University of Chinese Academy of Sciences, Beijing, People's Republic of China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zhang
authors.forename: Xianxiang
authors.initials: X
authors.lastname: Chen
authors.forename: Zhen
authors.initials: Z
authors.lastname: Fang
authors.forename: Qingyuan
authors.initials: Q
authors.lastname: Zhan
authors.forename: Ting
authors.initials: T
authors.lastname: Yang
authors.forename: Shanhong
authors.initials: S
authors.lastname: Xia
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000503:physiopathology*; D056902:Clinical Alarms; D003365:Costs and Cost Analysis; D004562:Electrocardiography / Q000295:instrumentation*; D005189:False Positive Reactions; D006339:Heart Rate; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D060388:Support Vector Machine / Q000191:economics*; D013997:Time Factors