CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset.

ABSTRACT: ECG is a non-invasive tool for arrhythmia detection. In recent years, wearable ECG-based ambulatory arrhythmia monitoring has gained increasing attention. However, arrhythmia detection algorithms trained on existing public arrhythmia databases show higher FPR when applied to such ambulatory ECG recordings. It is primarily because the existing public databases are relatively clean as they are recorded using clinical-grade ECG devices in controlled clinical environments. They may not represent the signal quality and artifacts present in ambulatory patient-operated ECG. To help build and evaluate arrhythmia detection algorithms that can work on wearable ECG from free-living conditions, we present the design and development of the CACHET-CADB, a multi-site contextualized ECG database from free

SUBMITTER: Kumar D 

PROVIDER: S-EPMC9283915 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature