Characterization of Arrhythmia Occurrence During Sleep and Activity in Patients Undergoing Long-Term Continuous Ambulatory ECG Monitoring

Authors: Elaine Yu, PhD, Relana Pinkerton, PhD, Ardit Kacorri, MD, Anthony Battisti, PhD, Yuriko Tamura, MS, and Mintu Turakhia, MD.

Summary:

Retrospective feasibility analysis of 3,840 patients undergoing up to 14 days of continuous ambulatory ECG monitoring (Zio) with integrated accelerometry, designed to characterize when arrhythmias occur in relation to sleep, wake, and activity states using AI-based classification.

Key Findings:

Pause and 3rd Degree block were highest association with sleep and VT was least likely.

2nd degree (Mobitz Type 2) and 3rd Degree block highest association with activity

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