Sampling Frequency Has Architecture-Dependent Effects on ECG Deep Learning Classification: CNNs Are Robust, Transformers Benefit Modestly

Heart Rhythm · Published 2026-08-01 · DOI 10.1016/j.hrthm.2026.07.045

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Authors (16)

Cole Freedman, Syed Zawahir Hassan, Maximo Alvarez, Peter Elhajj, Paul Kim, Sun Kyeong Park, Chanhyun Park, Sameer Hirji, Joshua C. Grimm, Saraschandra Vallabhajosyula, Michael Nanna, Alexis Okoh, Ozan Unlu, Peter Pantlin, Arnold Fenrich, Mauricio Hong

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Year

2026

Citation

Freedman, C., Hassan, S., Alvarez, M., et al. (2026). Sampling Frequency Has Architecture-Dependent Effects on ECG Deep Learning Classification: CNNs Are Robust, Transformers Benefit Modestly. Heart Rhythm. https://doi.org/10.1016/j.hrthm.2026.07.045

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