基于Emotiv Epoc的ERD测量系统开发

Q4 Engineering
D. Takehara, H. Kayanuma, Miku Matsubara, Naoto Seki, Kenya Wada, Masaya Kurata, Y. Ono
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引用次数: 5

摘要

我们开发了一种低成本的、事件相关的去同步(ERD)测量系统,该系统使用消费级脑电图系统(Emotiv Epoc),用于运动图像(MI)相关的脑机接口(BMI)。通过比较Epoc与医用级EEG系统(g.USBamp: g.c ec medical engineering)同时记录的EEG计算的ERD功率,探讨Epoc ERD功率检测的准确性。11名健康参与者在观看手部运动视频的情况下,进行了手握滚动的网球并张开紧握的手的MI。在测试的两种手势中,Epoc和g. USBamp的平均ERD功率相当。epc的ERD检测准确率为70.5%。考虑到Epoc的价格,我们的研究结果表明,Epoc可能是医疗级脑电图系统的一个很好的替代品,用于基于mi的BMI。关键词:BMI, Emotiv,事件相关去同步
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an ERD measurement system using Emotiv Epoc
We developed a low-cost, event-related desynchronization (ERD) measurement system using consumer-grade EEG system (Emotiv Epoc) for application of motor-imagery (MI) related brain machine interface (BMI). We investigated accuracy of ERD power detection of Epoc by comparing the ERD power calculated from simultaneously recorded EEG via Epoc and medical-grade EEG system (g.USBamp: g.tec medical engineering). Eleven healthy participants performed MI of holding a rolling tennis ball and opening the grasped hand under the observation of hand movement video. The mean ERD power was comparable between Epoc and g. USBamp with both hand gestures tested. ERD detection accuracy of Epoc was 70.5% of the all trials tested. Considering the price of Epoc, our results suggest that Epoc could be a good substitute for medical-grade EEG systems for the purpose of MI-based BMI. Keyword: BMI, Emotiv, event-related desynchronization
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