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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91960, first published .
2D-CNN model analyzes ECG R-peak data to classify Non-AF, AF, and noise.

R-R Interval Histogram-Based Deep Learning for 3-Class Atrial Fibrillation Screening in Garment-Type Wearable Holter Electrocardiogram Monitoring: Algorithm Development and Validation Study

R-R Interval Histogram-Based Deep Learning for 3-Class Atrial Fibrillation Screening in Garment-Type Wearable Holter Electrocardiogram Monitoring: Algorithm Development and Validation Study

Tomoaki Nakano   1 , MD ;   Keita Okayama   1 , MD, PhD ;   Masanao Yasuoka   2 , BE ;   Hironori Shigeta   2 , PhD ;   Akito Kawamura   1 , MD ;   Takayuki Sekihara   1 , MD ;   Kentaro Ozu   1 , MD ;   Takafumi Oka   1 , MD, PhD ;   Shigeto Seno   2 , PhD ;   Yasushi Sakata   1 , MD, PhD

1 Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Osaka, Suita, Osaka, Japan

2 Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, The University of Osaka, Suita, Osaka, Japan

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