Next-Gen Wristband Tracks Glucose, Heart Health, and More in Real Time

The wristband consists of an ultrasonic sensor array and ECG sensors worn at the bottom of the wrist to measure blood pressure, arterial stiffness and heart rate. Credit: An-Yi Chang

A groundbreaking wearable wristband is set to transform diabetes care by continuously monitoring not only glucose levels, but also cardiovascular and metabolic signals. Developed by researchers at UC San Diego and published in Nature Biomedical Engineering, this flexible device promises more comprehensive, real-time health tracking.

Multifunctional Sensors Enable Deeper Insight

As reported by medicalxpress, the wristband features a microneedle array that painlessly samples interstitial fluid beneath the skin. It uses embedded enzymes to simultaneously measure glucose, lactate, and alcohol levels. The array is designed for easy replacement, minimizing infection risks and enabling long-term wear.

In parallel, an ultrasonic sensor array tracks blood pressure and arterial stiffness, while ECG sensors monitor heart rate through wrist pulses. These physiological markers are especially crucial for people with diabetes, who face elevated cardiovascular risks that are often missed outside clinical settings.

Real-Time Feedback for Personalized Management

“Managing diabetes effectively means looking beyond glucose alone,” said An-Yi Chang, co-first author of the study. “Factors like alcohol, exercise, and stress significantly influence blood sugar and heart health.”

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Paired with a smart device, the wristband displays live data—including blood pressure, heart rate, and biomarker levels—allowing users to observe how lifestyle choices directly impact their health. In trials, its readings matched commercial glucose monitors, breathalyzers, and lactate meters, while providing additional cardiovascular insights.

Future Vision: Smarter, Self-Powered, and More Comprehensive

The wristband was developed through a collaboration between Prof. Joseph Wang’s team, which specializes in chemical biomarker monitoring, and Prof. Sheng Xu’s group, which focuses on wearable ultrasound sensors. Next steps include adding new biomarkers, enabling solar or sweat-based power, and using machine learning to turn data into personalized health recommendations.

This next-generation wearable may soon give people with diabetes a clearer, fuller picture of their health—anytime, anywhere.