Signal Acquisition Of Braincomputer Interfaces A Medicalengineering Crossover Perspective Review Yike Sun Xiaogang Chen Bingchuan Liu Liyan Liang Yijun Wang Shangkai Gao Xiaorong Gao by Yike Sun & Xiaogang Chen & Bingchuan Liu & Liyan Liang & Yijun Wang & Shangkai Gao & Xiaorong Gao instant download after payment.

a b s t r a c tArticle history:Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain that facilitates diReceived 23 December 2023rect communication between individuals and external devices. The efficacy of BCI systems is largely contingentReceived in revised form 1 April 2024upon the progress in signal acquisition methodologies. This paper endeavors to provide an exhaustive synopsisAccepted 7 April 2024of signal acquisition technologies within the realm of BCI by scrutinizing research publications from the last tenAvailable online 16 April 2024years. Our review synthesizes insights from both clinical and engineering viewpoints, delineating a comprehensiveKeywords:two-dimensional framework for understanding signal acquisition in BCIs. We delineate nine discrete categories oftechnologies, furnishing exemplars for each and delineating the salient challenges pertinent to these modalities.Brain–computer interfaceThis review furnishes researchers and practitioners with a broad-spectrum comprehension of the signal acquiSignal acquisition technologiessition landscape in BCI, and deliberates on the paramount issues presently confronting the field. ProspectiveSurgeryenhancements in BCI signal acquisition should focus on harmonizing a multitude of disciplinary perspectives.DetectionHuman computer interactionAchieving equilibrium between signal fidelity, invasiveness, biocompatibility, and other pivotal considerations isimperative. 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.