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cs.LG2026
Learning Human Health and Diseases from 24-hour Wrist Movement
Yong Wang, Dylan McGagh, Katya Broomberg +21
Much of human health and function unfolds beyond the clinic, through the movements of everyday life. Wrist-worn accelerometers capture these movements continuously, yet their rich…
cs.LG2024★ 1 cited
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals
Jonathan F. Carter, Lionel Tarassenko
Accurate classification of sleep stages from less obtrusive sensor measurements such as the electrocardiogram (ECG) or photoplethysmogram (PPG) could enable important applications…