Self-supervised cross-attention on bilateral wrist IMU signals achieves 93% accuracy distinguishing Parkinson's from healthy controls and 87-92% from other diagnoses using only 20% labeled data.
Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors
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Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals
Self-supervised cross-attention on bilateral wrist IMU signals achieves 93% accuracy distinguishing Parkinson's from healthy controls and 87-92% from other diagnoses using only 20% labeled data.