Shaurya Bisht
Shaurya is a high schooler from Northern Virginia interested in machine learning and computational techniques to improve human welfare, particularly interested in signal processing, feature engineering, and optimizing sleep.
Session
07-24
18:00
30min
Sleep Stage Classification in Julia
Shaurya Bisht
We present a Julia-based machine learning pipeline for sleep stage classification using the DREAMT wearable-PSG paired dataset. Our models, leveraging features from the Empatica E4 wristband, achieve AUC up to 0.92 in Wake/NREM/REM stage classification, with Random Forests matching Python benchmarks. Results establish Julia as a viable platform for biosignal processing and sleep research.
General
Lawrence Room 104 - Function Room