Brain-computer interface (BCI) technology is an interdisciplinary field that allows individuals to connect with the external world. The performance of BCI systems relies predominantly on the advancements of signal acquisition technology. This paper aims to present a comprehensive overview of signal acquisition technologies in BCI by examining research articles published in the past decade. Our review incorporates both clinician and engineer perspectives and presents a surgery-detection two-dimensional panorama of signal acquisition technologies in BCI. We classify the technologies into nine distinct categories, providing representative examples and emphasizing the significant challenges associated with each modality. Our review provides researchers and practitioners with a macroscopic understanding of BCI signal acquisition technologies and discuss the field's major issues today. Future development in BCI signal acquisition technology should prioritize the integration of diverse disciplines and perspectives. Striking a balance among signal quality, trauma, biocompatibility, and other relevant factors is crucial. This will promote the advancement of BCI technology, enhancing its efficiency, safety, and reliability, and ultimately contributing to a promising future for humanity.

翻译：脑机接口（BCI）技术是一个跨学科领域，使个体能够与外部世界建立连接。BCI系统的性能主要依赖于信号获取技术的进步。本文旨在通过梳理过去十年间发表的研究论文，全面概述BCI中的信号获取技术。我们的综述融合了临床医生和工程师的双重视角，并呈现了BCI信号获取技术的手术检测二维全景图。我们将这些技术划分为九个不同的类别，提供代表性示例，并强调每种模态所面临的重大挑战。本综述为研究人员和实践者提供了对BCI信号获取技术的宏观理解，并探讨了该领域当前存在的主要问题。未来BCI信号获取技术的发展应优先考虑多学科与多视角的融合。在信号质量、创伤性、生物相容性及其他相关因素之间取得平衡至关重要。这将推动BCI技术的进步，提升其效率、安全性和可靠性，并最终为人类创造光明的未来。