wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
Data Science Project - Predicting glucose levels with data collected by non-invasive wearable device
Passive neurological screening via TinyML — voice tremor, gait, typing & touch biomarkers
Digital neuroscience platform for quantifying brain stability, deviation, and resilience using longitudinal baseline modeling.
Benchmarking open-source PPG foundation models (Pulse-PPG, PaPaGei-S) for biological age prediction on clinical data
Reproducible analysis code and aggregated outputs for a VR-based cognitive screening tool with integrated eye tracking (AD, MCI, and controls).
MATLAB code for: "Photoplethysmography Acceleration Indices as Digital Biomarkers of Cardiometabolic Health"
Parkinson's detection from 3 seconds of voice — wav2vec2-XLS-R embeddings + LR, CV AUC 0.972, cross-corpus validated across Italian and English datasets
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