Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review
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...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2025-01-01
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| Series: | Fundamental Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667325824001559 |
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| author | Yike Sun Xiaogang Chen Bingchuan Liu Liyan Liang Yijun Wang Shangkai Gao Xiaorong Gao |
| author_facet | Yike Sun Xiaogang Chen Bingchuan Liu Liyan Liang Yijun Wang Shangkai Gao Xiaorong Gao |
| author_sort | Yike Sun |
| collection | DOAJ |
| description | 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 dependability, thereby contributing to an auspicious future for human-technology integration. |
| format | Article |
| id | doaj-art-c7adb14b18bc498591db6de40c82b950 |
| institution | Kabale University |
| issn | 2667-3258 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Fundamental Research |
| spelling | doaj-art-c7adb14b18bc498591db6de40c82b9502025-01-29T05:02:37ZengKeAi Communications Co. Ltd.Fundamental Research2667-32582025-01-0151316Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective reviewYike Sun0Xiaogang Chen1Bingchuan Liu2Liyan Liang3Yijun Wang4Shangkai Gao5Xiaorong Gao6Department of Biomedical Engineering, Tsinghua University, Beijing 100084, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China; Corresponding authors.Department of Biomedical Engineering, Tsinghua University, Beijing 100084, ChinaCenter for Intellectual Property and Innovation Development, China Academy of Information and Communications Technology, Beijing 100161, ChinaInstitute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, ChinaDepartment of Biomedical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Biomedical Engineering, Tsinghua University, Beijing 100084, China; Corresponding authors.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 dependability, thereby contributing to an auspicious future for human-technology integration.http://www.sciencedirect.com/science/article/pii/S2667325824001559Brain–computer interfaceSignal acquisition technologiesSurgeryDetectionHuman computer interaction |
| spellingShingle | Yike Sun Xiaogang Chen Bingchuan Liu Liyan Liang Yijun Wang Shangkai Gao Xiaorong Gao Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review Fundamental Research Brain–computer interface Signal acquisition technologies Surgery Detection Human computer interaction |
| title | Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review |
| title_full | Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review |
| title_fullStr | Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review |
| title_full_unstemmed | Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review |
| title_short | Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review |
| title_sort | signal acquisition of brain computer interfaces a medical engineering crossover perspective review |
| topic | Brain–computer interface Signal acquisition technologies Surgery Detection Human computer interaction |
| url | http://www.sciencedirect.com/science/article/pii/S2667325824001559 |
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