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Characterizing Motor System to Improve Training Protocols Used in Brain-Machine Interfaces Based on Motor Imagery

机译：特性电机系统，以改善基于电机图像的脑机接口中使用的训练协议

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Luz Maria Alonso-Valerdi; Andrés Antonio González-Garrido;
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年度 2018
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1. Brain-Machine Interface Training System of Motor Imagery Based on Virtual Reality [J] . Xiaoxia Pan NeuroQuantology: an interdisciplinary journal of neuroscience and quantum physics . 2018,第6期

机译：基于虚拟现实的运动图像脑机界面训练系统
2. EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system [J] . Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2020,第7期

机译：通过基于电机图像的脑机接口系统的转移学习，eEG分类和跨对象进行分类
3. Synchronization of Slow Cortical Rhythms During Motor Imagery-Based Brain-Machine Interface Control [J] . Barios Juan A., Ezquerro Santiago, Bertomeu-Motos Arturo, International Journal of Neural Systems . 2019,第5期

机译：基于电机图像的脑机接口控制过程中慢速皮质节奏的同步
4. Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface [C] . Gal Gorjup, Rok Vrabic, Stoyan Petrov Stoyanov, International conference on neural information processing;Annual conference of Asia-Pacific Neural Network Society . 2018

机译：基于电机图像的实时脑电脑机接口的开发
5. Investigations of brain-machine interface system-control exploiting local field potential oscillations in motor cortex. [D] . Vetter, Rio Joseph. 2004

机译：利用运动皮层局部场电势振荡的人机界面系统控制研究。
6. Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke - a systematic review and meta-analysis [O] . Antje Kruse, Zorica Suica, Jan Taeymans, 2020

机译：基于非侵入性脑电图的脑电脑界面训练的影响使用电动机图像在中风函数恢复 - 系统评价与荟萃分析
7. Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface [O] . Gal Gorjup, Rok Vrabič, Stoyan Petrov Stoyanov, 2018

机译：开发实时电动局的EEG脑机接口

Characterizing Motor System to Improve Training Protocols Used in Brain-Machine Interfaces Based on Motor Imagery

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