Abstract
This study presents a novel fabrication technology for shape memory polymer based kirigami electrodes designed for surface-mounted neural implants. The 3D kirigami structures enable dynamic height adjustments to adaptively conform to uneven topographies, effectively filling gaps up to 500 μm. Experimental results demonstrate significant improvements in signal quality compared to conventional 2D electrodes, with enhanced current uniformity after shape recovery. The spontaneous adaptability of these electrodes eliminates the need for local programming, making them suitable for diverse applications in neural interfaces and contributing to improved long-term stability and functionality in biomedical devices. © 2025 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE 38th International Conference on Micro Electro Mechanical Systems (MEMS) |
| Publisher | IEEE |
| Pages | 488-491 |
| ISBN (Electronic) | 979-8-3315-0889-0 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | The 38th IEEE International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2025) - Kaohsiung, Taiwan, China Duration: 19 Jan 2025 → 23 Jan 2025 https://mems25.org/ |
Publication series
| Name | Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) |
|---|---|
| ISSN (Print) | 1084-6999 |
Conference
| Conference | The 38th IEEE International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2025) |
|---|---|
| Place | Taiwan, China |
| City | Kaohsiung |
| Period | 19/01/25 → 23/01/25 |
| Internet address |
Funding
This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU11207821 and CityU11205423) and the Center for Biosystems, Neuroscience, and Nanotechnology (CBNN) of City University of Hong Kong (9360148, 9380062).
Research Keywords
- 3D electrodes
- kirigami
- Microelectrode arrays
- shape memory polymer
- spontaneous adjustment
RGC Funding Information
- RGC-funded
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GRF: Microwells with Integrated Plasmonic Sensors and Narrow Channels to Study Cell Passage
Pang, S. (Principal Investigator / Project Coordinator)
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1/01/22 → …
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