Amal Alissa
Amal Alissa has 1 paper in the ChatPPG research atlas (2026), with work using 1 dataset and 4 co-authors in the atlas. Main topics: PPG, SpO2, sleep-apnea, OOD-generalization, wearable, edge-model.
Papers
- Apnea Burden-Guided Framework: Enhancing Out-of-Distribution Generalization in PPG-Based Sleep Apnea Characterization2026 · arXiv preprint
This study predicts apnea burden from PPG as a continuous value, then converts it to the apnea-hypopnea index to sort people into four severity groups. The authors tested whether PPG pulse-shape features help alongside SpO2, especially on out-of-distribution data. On that data, adding PPG features raised macro-F1 by about 16% and macro-accuracy by about 9% compared with SpO2 alone.
- Published: arXiv preprint, 2026
- Signals: PPG, SpO2
- Task: 4-level sleep apnea severity via apnea burden
Datasets used in this work
- OSASUD: Obstructive Sleep Apnea Stroke Unit Dataset (finger PPG+ECG+SpO₂)