OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention ...
summary
A wearable system combines Empatica E4 wrist signals with a Channel-Temporal Attention TCN to detect opioid administrations from 36 inpatients (2070 hours, 339 opioid administrations). The model achieves F1 0.80, specificity 0.77, sensitivity 0.80, AUC 0.77 for windowed detection and NMAE 8.6% with R^2 0.85 for moment prediction. Ablations show heart rate and IBI drive detection, while heart rate, EDA and accelerometer drive timing; skin temperature contributes least. Model is evaluated on IV hospital dosing; oral and longitudinal effects remain to be tested.
AI-written summary · about
related talks
09mAn Activity Recognition System for Taking Medicine Using In-The-Wild Data to Promote Medication ...
01h 13mHealth Monitoring with Wireless Sensors and Machine Learning
48mRecoverMonitor: Edge-enabled Open-source Wearable Devices for Monitoring Healthcare Remote Patient Recovery with Precision and Efficiency
08mTechnology That Cares
06mBodyCompass: Monitoring Sleep Posture with Wireless Signals
18mMachine Learning to Detect Illegal Online Sales of Prescription Opioids
19mInTheMoodForLife: Analyzing Sleep to Better Manage Mood Disorders
23mEngineering AI-Powered Predictive Healthcare Systems