Recent advances in wireless epicortical and intracortical neuronal recording systems
Bowen Ji
1, 2, 3
,
Zekai Liang
1, 2
,
Xichen Yuan
2
,
Honglai Xu Honglai
4
,
Minghao Wang
5
,
Erwei Yin
6, 7
,
Zhejun Guo
8
,
Longchun Wang
8
,
Yuhao Zhou
1, 2, 3
,
Huicheng Feng
1, 2
,
Honglong Chang
1, 2
,
Jingquan Liu
8
4
NEURACLE TECH (China) Co., Ltd., Changzhou, China
|
6
Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing, China
|
7
Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin, China
|
Publication type: Journal Article
Publication date: 2022-03-10
scimago Q1
wos Q1
SJR: 1.479
CiteScore: 12.6
Impact factor: 7.6
ISSN: 1674733X, 18691919
General Computer Science
Abstract
An implantable brain-computer interface (BCI) has proven to be effective in the field of sensory and motor function restoration and in the treatment of neurological disorders. Using a BCI recording system, we can transform current methods of human interaction with machines and the environment, especially to help those with cognitive and mobility disabilities regain mobility and reintegrate into society. However, most reported work has focused on a simple aspect of the whole system, such as electrodes, circuits, or data transmission, and only a very small percentage of systems are wireless. A miniature, lightweight, wireless, implantable microsystem is key to realizing long-term, real-time, and stable monitoring on freely moving animals or humans in their natural conditions. Here, we summarize typical wireless recording systems, from recording electrodes, processing chips and controllers, wireless data transmission, and power supply to the system-level package for either epicortical electrocorticogram (ECoG) or intracortical local field potentials (LFPs)/spike acquisition, developed in recent years. Finally, we conclude with our vision of challenges in next-generation wireless neuronal recording systems for chronic and safe applications.
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Total citations:
22
Citations from 2024:
12
(54.54%)
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GOST
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Ji B. et al. Recent advances in wireless epicortical and intracortical neuronal recording systems // Science China Information Sciences. 2022. Vol. 65. No. 4. 140401
GOST all authors (up to 50)
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Ji B., Liang Z., Yuan X., Xu Honglai H., Wang M., Yin E., Guo Z., Wang L., Zhou Y., Feng H., Chang H., Liu J. Recent advances in wireless epicortical and intracortical neuronal recording systems // Science China Information Sciences. 2022. Vol. 65. No. 4. 140401
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RIS
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TY - JOUR
DO - 10.1007/s11432-021-3373-1
UR - https://doi.org/10.1007/s11432-021-3373-1
TI - Recent advances in wireless epicortical and intracortical neuronal recording systems
T2 - Science China Information Sciences
AU - Ji, Bowen
AU - Liang, Zekai
AU - Yuan, Xichen
AU - Xu Honglai, Honglai
AU - Wang, Minghao
AU - Yin, Erwei
AU - Guo, Zhejun
AU - Wang, Longchun
AU - Zhou, Yuhao
AU - Feng, Huicheng
AU - Chang, Honglong
AU - Liu, Jingquan
PY - 2022
DA - 2022/03/10
PB - Science in China Press
IS - 4
VL - 65
SN - 1674-733X
SN - 1869-1919
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Ji,
author = {Bowen Ji and Zekai Liang and Xichen Yuan and Honglai Xu Honglai and Minghao Wang and Erwei Yin and Zhejun Guo and Longchun Wang and Yuhao Zhou and Huicheng Feng and Honglong Chang and Jingquan Liu},
title = {Recent advances in wireless epicortical and intracortical neuronal recording systems},
journal = {Science China Information Sciences},
year = {2022},
volume = {65},
publisher = {Science in China Press},
month = {mar},
url = {https://doi.org/10.1007/s11432-021-3373-1},
number = {4},
pages = {140401},
doi = {10.1007/s11432-021-3373-1}
}