Academic News

The green smart patch, jointly developed by Associate Professor Po-Kang Yang, Assistant Professor Ching-Yun Chen, and Associate Professor Chien-Chang Chen at National Central University.
The green smart patch, jointly developed by Associate Professor Po-Kang Yang, Assistant Professor Ching-Yun Chen, and Associate Professor Chien-Chang Chen at National Central University.

A transnational research team from National Central University (NCU), supported by Taiwan’s National Science and Technology Council, has developed a “sustainable triboelectric patch” that integrates artificial intelligence with regenerative medicine. Published in the top-tier international journal Nano Energy, the patch harnesses triboelectric effects to generate its own power through user movement and employs a lightweight generative AI algorithm to monitor physiological signals such as gait, respiration, and limb motion with 97% accuracy.

Animal studies show that the patch’s micro-electric stimulation can accelerate wound healing by more than 30%, making it highly promising for treating chronic wounds, burns, and diabetic foot ulcers, where healing is often difficult. This breakthrough highlights the patch’s potential for real-world applications in regenerative medicine.

Made from biodegradable materials, the patch is both recyclable and reusable, significantly reducing electronic waste and contributing to environmentally friendly healthcare solutions.

Led by Associate Professor Po-Kang Yang, the project combines expertise in materials simulation, biomedical regeneration, and AI signal analysis from international collaborators. With potential applications in smart wearables and long-term remote healthcare, the technology is set to open a new chapter for global health monitoring and regenerative medicine.   

The innovative patch, created by NCU’s international research team, features self-powering, real-time monitoring, and wound regeneration.
The innovative patch, created by NCU’s international research team, features self-powering, real-time monitoring, and wound regeneration.
The patch demonstrates three major potential applications.
The patch demonstrates three major potential applications.
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