Skin-like autonomous computing patch maps fatal heart rhythms with 99.6% accuracy

University of Chicago researchers built a stretchable, skin-like computing patch for medical wearables that processes health signals directly on the body.

The device uses organic electrochemical transistors and can detect ventricular fibrillation with 99.6% accuracy.

A separate heart-risk model reached 83.5% accuracy, showing the patch can support rapid on-device health analysis.

Published in Nature Electronics, the work points to faster, more reliable emergency monitoring without sending data to a remote server.