Technical University of Denmark

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posted on 2021-05-11, 08:46 authored by Jakob Eyvind BardramJakob Eyvind Bardram, Devender Kumar, Sadasivan PuthusserypadySadasivan Puthusserypady
CACHET-CADB is 259 days long contextualised single-channel ECG arrhythmia database from 24 patients recording under a free-living ambulatory setting. Along with the ECG, it also contains contextual information such as activities, body position, movement acceleration, patients reported unusual symptoms/events diary, step counts, patient-reported sleep quality, stress level, and food intake. I contain 1602 ten-second long ECG samples of AF, NSR, noise, and other rhythm classes, which are manually annotated by two cardiologists. The ECG is sampled at 1024 Hz and a 12-bit resolution.

There is a short format of the dataset available at 10.11583/DTU.14547330

Further details and code for using the database can be found on the GitHub repository


Innovation Fund, Denmark