A Review of Brain-Computer Interface Technologies: Signal Acquisition Methods and Interaction Paradigms
It synthesizes existing knowledge for researchers and practitioners in BCI, but is incremental as it reviews rather than introduces new findings.
This review analyzes Brain-Computer Interface (BCI) technologies by examining signal acquisition methods and interaction paradigms, aiming to provide insights for developing more efficient and versatile BCI systems.
Brain-Computer Interface (BCI) technology facilitates direct communication between the human brain and external devices, representing a substantial advancement in human-machine interaction. This review provides an in-depth analysis of various BCI paradigms, including classic paradigms, current classifications, and hybrid paradigms, each with distinct characteristics and applications. Additionally, we explore a range of signal acquisition methods, classified into non-implantation, intervention, and implantation techniques, elaborating on their principles and recent advancements. By examining the interdependence between paradigms and signal acquisition technologies, this review offers a comprehensive perspective on how innovations in one domain propel progress in the other. The goal is to present insights into the future development of more efficient, user-friendly, and versatile BCI systems, emphasizing the synergy between paradigm design and signal acquisition techniques and their potential to transform the field.