Case Study: Robust Detection of Wide Complex Tachyarrhythmias using Mobile Cardiac Telemetry Monitors
In this study, wide complex tachycardia (WCT) was defined as a heart rate of ≥100 bpm for at least three consecutive beats, using reference annotations to locate episodes in ECG recordings. The ZywieAI® algorithm applies signal processing to remove artifacts, identify key signal points, and detect ectopic beats. It then calculates features from these signals and uses an AI-based classifier to determine true WCT episodes. The algorithm’s performance was evaluated at both the episode level and the recording level.
Ruhi Mahajan, PhD, Alok Gambhir, MD, PhD, Sameer Adumala
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