In-hospital deterioration — wearable monitoring

2 researchers·1 publication

Deep learning on wearable physiological data predicts clinical deterioration up to 17 hours in advance with greater than 94% sensitivity. Funded by a 4-year, $3.2M NIH grant. The algorithm is wearable-agnostic, validated across VitalConnect, VitalPatch, Biobeat, and Isansys devices.