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Machine Learning · University of Surrey, Surrey Sleep Research Centre
Contactless sleep stage classification
MSc thesis: dual-stream LSTM for contactless physiological sleep staging.
MSc research, 2025
78%
F1 score
Designed and trained a dual-stream LSTM to classify sleep stages from contactless physiological sensors, fusing multiple sensor modalities without requiring wearables or skin contact. Completed with the Surrey Sleep Research Centre.
- Multimodal sensor fusion across contactless physiological signal streams
- Dual-stream LSTM architecture tuned for temporal sleep-stage transitions
- 78% F1 on held-out evaluation, validated against clinical staging conventions
PyTorchNumPyPandasscikit-learn