Mohamed Hammad
ORCID iDMohamed Hammad has 1 paper in the ChatPPG research atlas (2025) and 3 co-authors in the atlas.
Papers
- Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices2025 · PLOS ONE
This PLOS ONE paper trains a 1D CNN to detect heart rhythm disorders from 30-second PPG segments, using ECG from the same University of Massachusetts Medical Center dataset as the reference. It reported 95.17% accuracy in separating normal sinus rhythm, atrial fibrillation and premature atrial contractions. In July 2026 the PLOS ONE editors issued an Expression of Concern about retracted references and authorship policy compliance, advising readers to interpret the article with caution.
- Published: PLOS ONE, 2025
- Signals: PPG (ECG reference)
- Data: UMMC Pulsewatch dataset, 30 s segments