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Li-wei H. Lehman

2 accepted papers

2023

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction

IJCAI 2023poster

The high rate of false arrhythmia alarms in intensive care units (ICUs) can negatively impact patient care and lead to slow staff response time due to alarm fatigue. To reduce false alarms in ICUs, previous works proposed conventional supervised learning methods which have inherent limitations in de…

2023

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

NeurIPS 2023poster

False arrhythmia alarms in intensive care units (ICUs) are a continuing problem despite considerable effort from industrial and academic algorithm developers. Of all life-threatening arrhythmias, ventricular tachycardia (VT) stands out as the most challenging arrhythmia to detect reliably. We introd…

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