Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy

机译：使用功能性近红外光谱技术检测与大脑活动相关的认知活动相关的血流动力学信号

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The ideal non-invasive brain computer interface (BCI) transforms signals originating from human brain into commands that can control devices and applications. Hence, BCI provides a way for brain output that does not involve neuromuscular system. This repr

机译：理想的非侵入性大脑计算机接口（BCI）将源自人脑的信号转换为可以控制设备和应用程序的命令。因此，BCI提供了一种不涉及神经肌肉系统的大脑输出方式。这个代表

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来源
《Neural Engineering, 2007 3rd International IEEE/EMBS Conference on》|2007年|P.342-345|共4页
会议地点 Kohala CoastHI
作者
Ayaz; H.; Izzetoglu; M.; Bunce; S.; Heiman-Patterson; T.; Onaral; B.;
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brain; haemodynamics; infrared spectroscopy; medical signal processing; user interfaces; amyotrophic lateral sclerosis; cognitive activity; electroencephalogram; functional magnetic resonance imaging; functional near infrared spectroscopy; hemodynamic signal; neuro;

机译：脑;血液动力学红外光谱医疗信号处理；用户界面；肌萎缩性侧索硬化症;认知活动；脑电图功能磁共振成像；功能近红外光谱血液动力学信号神经的;

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1. Classification of brain hemodynamic signals arising from visual action observation tasks for brain-computer interfaces: A functional near-infrared spectroscopy study [J] . Berdakh Abibullaev, Jinung An, Sang-Hyeon Jin, Measurement . 2014,第Null期

机译：脑机接口视觉动作观察任务产生的脑血流动力学信号分类：功能性近红外光谱研究
2. Sources of Electrophysiological and Foci of Hemodynamic Brain Activity Most Relevant for Controlling a Hybrid Brain- Computer Interface Based on Classification of EEG Patterns and Near-Infrared Spectrography Signals during Motor Imagery [J] . P.D.Bobrov, M.R.Isaev, A.V.Korshakov, Human physiology . 2016,第3期

机译：基于运动图像期间脑电图模式分类和近红外光谱信号分类与控制混合脑机接口最相关的血流动力学脑活动的电生理和病源
3. Multiclass classification of hemodynamic responses for performance improvement of functional near-infrared spectroscopy-based brain-computer interface [J] . Jaeyoung Shin, Jichai Jeong Journal of biomedical optics . 2014,第6期

机译：血流动力学反应的多类分类，可改善基于功能近红外光谱的脑机接口的性能
4. Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy [C] . Ayaz, H., Izzetoglu, . 2007

机译：使用功能性近红外光谱技术检测与大脑活动相关的认知活动相关的血流动力学信号
5. Near-Infrared Spectroscopy Signal Classification: Towards a Brain-Computer Interface [D] . Tai, Kelly 2008

机译：近红外光谱信号分类：走向脑机接口
6. Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application [O] . Noman Naseer, Farzan M. Noori, Nauman K. Qureshi, 2016

机译：确定在脑机接口应用中功能性近红外光谱信号的LDA分类的最佳特征组合
7. Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application [O] . Noman eNaseer, Farzan Majeed Noori, Nauman Khalid Qureshi, 2016

机译：确定脑 - 计算机接口应用中功能近红外光谱信号LDa分类的最佳特征组合

Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy

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