What will your competent? doctors do to check this out for your recovery? NOTHING LIKE USUAL? And they haven't been fired yet?
Your doctors are up-to-date on all things BCI? What protocols did they write?
The latest here:
Neural electrodes for brain‐computer interface system: From rigid to soft
Received: 22 July 2024
- Accepted: 29 November 2024
DOI: 10.1002/bmm2.12130
R E V I E W
Neural electrodes for brain‐computer interface system: From rigid to soft Dan Yang1,2 | Gongwei Tian1,2 | Jianhui Chen1,2 | Yan Liu1,2 | Esha Fatima3 |
Jichuan Qiu4 | Nik Ahmad Nizam Nik Malek5 | Dianpeng Qi1,2
1 MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, National and Local Joint Engineering Laboratory for
Synthesis, Transformation and Separation of Extreme Environmental Nutrients, School of Chemistry and Chemical Engineering, Harbin Institute of
Technology, Harbin, China
2 Key Laboratory of Science and Engineering for the Multi‐Modal Prevention and Control of Major Chronic Diseases, Ministry of Industry and Information Technology, Zhengzhou Research Institute of Harbin Institute of Technology, Zhengzhou, China
3 Department of Chemistry, Government College Women University Faisalabad, Faisalabad, Pakistan
4 State Key Laboratory of Crystal Materials, Shandong University, Jinan, China
5 Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
Correspondence
Dianpeng Qi. Email: dpqi@hit.edu.cn Funding information National Natural Science Foundation of China, Grant/Award Numbers: 52173237, 52473255; Fundamental Research Funds for the Central Universities, Grant/Award Numbers: HIT.NSRIF 202315, HIT. OCEF.2022018; Natural Science Foundation of Heilongjiang Province, Grant/Award Numbers: LH2021B009, LH2022E051; Interdisciplinary Research Foundation of HIT, Grant/Award Number: IR2021207; Open Project Program of Key Laboratory for Photonic and Electric Bandgap Materials, Grant/Award Number: PEBM202107
Abstract
Brain‐computer interface (BCI) is an advanced technology that establishes a direct connection between the brain and external devices, enabling high‐speed and real‐time information exchange. In BCI systems, electrodes are key interface devices responsible for transmitting signals between the brain and external devices, including recording electrophysiological signals and electrically stimulating nerves. Early BCI electrodes were mainly composed of rigid materials. The mismatch in Young's modulus between rigid electrodes and soft biological tissue can lead to rejection reactions within the biological system, resulting in electrode failure. Furthermore, rigid electrodes are prone to damaging biological tissues during implantation and use. Recently, flexible electrodes have garnered attention in the field of brain science research due to their better adaptability to the softness and curvature of the brain. The design of flexible electrodes can effectively reduce mechanical damage to neural tissue and improve the accuracy and stability of signal transmission, providing new tools and methods for exploring brain function mechanisms and developing novel neural interface technologies. Here, we review the research advancements in neural electrodes for BCI systems. This paper emphasizes the importance of neural electrodes in BCI systems, discusses the limitations of traditional rigid neural electrodes, and introduces various types of flexible neural electrodes in detail. In addition, we also explore practical application. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2025 The Author(s). BMEMat published by John Wiley & Sons Australia, Ltd on behalf of Shandong University. BMEMat. 2025;e12130. onlinelibrary.wiley.com/r/bmemat- 1 of 21 https://doi.org/10.1002/bmm2.12130 scenarios and future development trends of BCI electrode technology, aimingto offer valuable insights for enhancing the performance and user experience of BCI systems.
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