Signal acquisition of brain-computer interfaces:A medical-engineering crossover perspective review  

作　　者：Yike Sun Xiaogang Chen Bingchuan Liu Liyan Liang Yijun Wang Shangkai Gao Xiaorong Gao 

机构地区：[1]Department of Biomedical Engineering,Tsinghua University,Beijing 100084,China [2]Institute of Biomedical Engineering,Chinese Academy of Medical Sciences and Peking Union Medical College,Tianjin 300192,China [3]Center for Intellectual Property and Innovation Development,China Academy of Information and Communications Technology,Beijing 100161,China [4]Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,China

出　　处：《Fundamental Research》2025年第1期3-16,共14页自然科学基础研究(英文版)

基　　金：supported by the National Natural Science Foun-dation of China(U2241208,62171473,61671424);the National Key Research and Development Program of China(2022YFC3602803,2023YFF1205300);Key Research and Development Program of Ningxia(2023BEG02063)。

摘　　要：Brain-computer interface(BCI)technology represents a burgeoning interdisciplinary domain that facilitates direct communication between individuals and external devices.The efficacy of BCI systems is largely contingent upon the progress in signal acquisition methodologies.This paper endeavors to provide an exhaustive synopsis of signal acquisition technologies within the realm of BCI by scrutinizing research publications from the last ten years.Our review synthesizes insights from both clinical and engineering viewpoints,delineating a comprehensive two-dimensional framework for understanding signal acquisition in BCIs.We delineate nine discrete categories of technologies,furnishing exemplars for each and delineating the salient challenges pertinent to these modalities.This review furnishes researchers and practitioners with a broad-spectrum comprehension of the signal acquisition landscape in BCI,and deliberates on the paramount issues presently confronting the field.Prospective enhancements in BCI signal acquisition should focus on harmonizing a multitude of disciplinary perspectives.Achieving equilibrium between signal fidelity,invasiveness,biocompatibility,and other pivotal considerations is imperative.By doing so,we can propel BCI technology forward,bolstering its effectiveness,safety,and depend-ability,thereby contributing to an auspicious future for human-technology integration.

关 键 词：Brain-computer interface Signal acquisition technologies SURGERY Detection Human computer interaction 

分 类 号：O15[理学—数学]