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Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring

机译：用于实时单试验脑电分析的机器学习：从脑 - 计算机接口到心理状态监测

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Müller K.-R.; Tangermann M.; Dornhege G.; Krauledat M.; Curio G.; Blankertz B.;
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年度 2008
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1. Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring. [J] . Muller KR, Tangermann M, Dornhege G, Journal of Neuroscience Methods . 2008,第1期

机译：机器学习用于实时单项EEG分析：从脑机接口到心理状态监测。
2. A haemodynamic brain-computer interface based on real-time classification of near infrared spectroscopy signals during motor imagery and mental arithmetic [J] . Matthias Stangl, Gunther Bauernfeind, Jurgen Kurzmann, Journal of near infrared spectroscopy . 2013,第3期

机译：基于运动成像和心算过程中近红外光谱信号实时分类的血流动力学人机界面
3. Real-time brain-computer interfacing: a preliminary study using Bayesian learning. [J] . Roberts SJ, Penny WD Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2000,第1期

机译：实时脑机接口：使用贝叶斯学习的初步研究。
4. A Brain-Computer Interface for Mental Arithmetic Task from Single-Trial Near-Infrared Spectroscopy Brain Signals [C] . Ang Kai Keng, Guan Cuntai, Lee Kerry, 2010 20th International Conference on Pattern Recognition . 2010

机译：从单次试验近红外光谱法脑信号心理算术任务的脑计算机接口。
5. Utilizing Machine Learning and Virtual Reality to Facilitate Brain-Computer Interface Control [D] . Reyhani Masoleh, Behnam . 2019

机译：利用机器学习和虚拟现实方便脑电脑界面控制
6. Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity [O] . Rosaleena Mohanty, Anita M. Sinha, Alexander B. Remsik, 2018

机译：机器学习分类以识别使用功能连通性进行中风康复的脑机接口治疗阶段
7. Machine Learning for Real-Time Single-Trial EEG Analysis: From Brain-Computer Interfacing to Mental State Monitoring [O] . Klaus-Robert Müller, Michael Tangermann, Guido Dornhege, 2007

机译：实时单次EEG分析的机器学习：从脑机接口到心理状态监测

Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring

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