InterventionsHuman trial

Wearable patch matched artery signals with high accuracy

In experiments with 110 participants, the patch achieved 96.14% waveform similarity to medical-grade equipment without needing calibration for each person.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

In experiments with 110 participants, researchers tested Hygieia, a wearable patch for tracking signals from the carotid artery in the neck. The patch used electromagnetic sensing. An air gap inside its sensor converted artery-related skin vibrations into changes in a measured frequency. This design avoided calibration for each person.

The researchers built the patch and its readout hardware from low-cost, widely available components. They used signal-processing methods to reconstruct detailed waveforms—traces of how signals changed over time—from noisy measurements. The patch achieved 96.14% waveform similarity to medical-grade equipment. Across timing-based measures, the average size of errors was below 0.04 seconds. The results supported its potential for continuous monitoring.

Why it matters

Heart and blood-vessel diseases are a concern as people age. Making continuous monitoring more accessible may support early detection and risk prediction.

Caveats

These experiments assessed measurement accuracy, not whether the patch detected disease earlier or predicted cardiovascular risk. The abstract did not report participants’ ages or the duration of monitoring.

The paper

H ygieia : A Wearable Metamaterial Patch for Calibration-free Carotid Hemodynamics Monitoring

Northwest University

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 30 Sep 2026 · CC BY-NC-ND

doi.org/10.1145/3832011