基于功能近红外光谱(fNIRS)的脑机接口(BCI)信息传输速率研究

Jaeyoung Shin, Sungyong Kang, Minkyu Sung, Joohwan Kim, Yongjung Kim, Ji-Hyun Kim, Jichai Jeong
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引用次数: 4

摘要

我们开发了一个8通道时域功能近红外光谱(fNIRS)系统,并测量了左/右臂举举过程中血红蛋白的浓度变化。采用基于相关的信号改进(CBSI)方法去除头部运动的影响。我们研究了信息传输速率作为支持向量机估计的分类精度的函数的性能。实现了0.28~2.08 bits/min的信息传输速率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)
We develop an 8-channel time domain functional near-infrared spectroscopy (fNIRS) system and measure concentration changes of hemoglobin during left/right arm lifting. Correlation-based signal improvement (CBSI) method is used to remove the effect of the head movement. We investigate the performances of the information transfer rate as a function of classification accuracy estimated by support vector machine. We achieve the information transfer rate in the range of 0.28~2.08 bits/min
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