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Stress-Sensing Lie Detector Can Also Spot Distressed Babies
Machine-learning analysis of synchronized body signals could help caregivers spot distress in babies and other people who cannot communicate.
Engineers led by Rogers developed a lightweight, wearable patch that continuously monitors physiological stress signals, providing a real-time, whole-body view of distress in infants who cannot communicate their needs.
Operating conceptually like a polygraph, the system wirelessly transmits synchronized data streams to mobile devices, where machine learning algorithms analyze stress-associated patterns in real time without requiring biological fluid access.
Weighing just 8 grams, the bandage-like patch adheres to the chest to simultaneously measure breathing patterns, skin temperature, and blood flow, replacing cumbersome hospital equipment.
Parents and caregivers can identify underlying distress in babies using the device, potentially preventing health complications through timely, stress-reducing interventions.
According to pediatrician Debra Weese-Mayer, the device could help doctors detect stress in non-verbal patients, aiming to remove subjectivity from clinical health assessments.