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Electronic skin repairs itself within 10 seconds after damage

By Brian Buntz | February 21, 2025

Yangzhi Zhu, Ph.D.

Yangzhi Zhu, Ph.D.

Picture this: rapid, stimulus-free self-healing of electronic skin in 10 seconds. That’s the core innovation that scientists at the Terasaki Institute for Biomedical Innovation have announced in a study published in Science Advances.

But it’s not just fast, its healing is relatively sound with the E-Skin tech recovering over 80% of its functionality within that 10 seconds window. That’s a big improvement over conventional devices that can take far longer to heal.

They tested the E-skin with cuts and stretches, raising questions about long-term repeated damage, and conditions like acidic sweat, UV exposure, or zero-gravity, which the current study doesn’t fully address. The E-Skin, however, is designed for robust performance, and the study demonstrates its reliable function even underwater, as well as under varying temperatures and humidity. The study further mentions durability over 50,000 bending cycles and 40 cut-heal rounds.

There’s also a self-powered angle. In addition to detecting muscle strength and fatigue, the E-Skin integrates a triboelectric sensor for motion tracking—eliminating the need for an external power source for movement data—and can measure both surface electromyography (sEMG) and electrocardiography (ECG) signals via low-power electronics.

The figure shows the design, self-healing capability and flexibility of the E-Skin. [Figure from the paper: Yongju Lee et al. ,Rapidly self-healing electronic skin for machine learning–assisted physiological and movement evaluation.Sci. Adv.11,eads1301(2025).DOI:10.1126/sciadv.ads1301]

And like so many scientific breakthroughs these days, there’s an AI component as well. A compact convolutional neural net analyzes sEMG (surface electromyography) and ECG data to spot muscle fatigue with 95%+ accuracy. By examining both time- and frequency-domain parameters—such as average rectified value (ARV), root mean square (RMS), mean frequency (MEF), and median frequency (MDF)—the system detects subtle shifts in muscle performance in real-time. Although the training data came from 21 adults performing dumbbell lifts (a relatively narrow sample), the research team did test volunteers from their teenage years through their thirties.

From a materials science perspective, the rapid repair comes from a specially formulated thermoplastic polyurethane (TPU) composite. It’s doped with bis(4-hydroxyphenyl)disulfide for re-establishing disulfide bonds and isophorone diisocyanate (IPDI) for enhanced chain mobility—dynamic bonds that quickly re-form at room temperature. The study highlights durability tests with 50,000 bending cycles and over 40 cut-heal rounds, plus immersion testing in water. While multi-month or UV-exposure testing has yet to be addressed, these early results suggest reliable performance under extreme conditions—potentially even underwater.

This self-healing technology represents a fundamental shift in wearable electronics.

–Yangzhi Zhu, Ph.D

Beyond rapid repair, this E-Skin is designed to endure daily wear and tear, with an eye toward real-world applications like sports performance tracking, rehabilitation, and continuous health monitoring. Professors Yangzhi Zhu and Ali Khademhosseini emphasize that the ultra-fast self-healing removes a major barrier to practical use, ensuring sensors remain functional without frequent repairs or replacements. That blend of durability, real-time sensing and AI-driven analytics marks a significant step toward more resilient and user-friendly wearable technology.

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