Ahmed S. Mubark
Ahmed S. Mubark has 1 paper in the ChatPPG research atlas (2024) and 5 co-authors in the atlas.
Papers
- Non-Invasive Glucose Level Monitoring from PPG using a Hybrid CNN-GRU Deep Learning Network2024 · arXiv
This paper estimates blood glucose from PPG with a hybrid network that uses a CNN for patterns within the signal and a GRU for patterns over time. On its test set it reported a mean absolute error of 2.96 mg/dL, RMSE of 3.94 mg/dL and R² of 0.97, with all points in Clarke Error Grid zone A.
- Published: arXiv 2411.11094, 2024
- Signals: PPG
- Architecture: hybrid CNN-GRU