基于稳态视觉诱发电位信号的脑机接口（BCI）拼写器系统的开发。
Development of a Brain Computer Interface (BCI) Speller System Based on SSVEP Signals.
作者信息
Movahedi Mohammad Mehdi, Mehdizadeh Alireza, Alipour Abolfazl
机构信息
Faculty Member of Medical Physics and Medical Engineering, Department of Medical Physics and Medical Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Assistant Professor of Medical Physics and Medical Engineering, Department of Medical Physics and Medical Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
出版信息
J Biomed Phys Eng. 2013 Sep 17;3(3):81-6. eCollection 2013 Sep.
BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed. In addition, we suggested that LED light sources can provide proper signals for speller BCIs and they can be used in future.
脑机接口（BCI）是其他人机交互（HCI）系统中最具吸引力的技术之一，主要是因为它能够记录大脑活动。帮助瘫痪患者保持沟通的拼写脑机接口是脑机接口领域引人注目的主题之一。在本科学研究中，提出了一种使用稳态视觉诱发电位（SSVEP）信号的具有高传输速率和准确性的拼写脑机接口系统。此外，我们认为发光二极管（LED）光源可以为拼写脑机接口提供合适的信号，并且它们可在未来得到应用。
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