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EEG-Based Control: Neurologic Mechanisms of Steady-State Self-Regulation

机译：基于脑电图的控制：稳态自我调节的神经机制

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In the EEG-based interface examined, the magnitude of the steady-state visualevoked response (SSVER) served as a control signal. The SSVER was identified and monitored using non-invasive scalp electrodes and advanced signal processing technology. With biofeedback, subjects learned to increase or decrease the magnitude of their SSVER to an evoking stimulus. These responses were translated into commands that controlled the operation of a physical device or computer program. The objective of this research was to identify some of the neurologic mechanisms involved with neural self-regulation. Using brain electroencephalographic (EEG) and evoked potential (EP) data, the character, timing, and neuroanatomical significance of mental operations during task-related processes were examined.

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作者
Calhoun, L.; McMillan, G. R.; Ingle, D.; Middendorf, M.;
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年度 1997
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总页数 45
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Neurology; Electroencephalography; Brain; Real time; Interfaces; Cognition; Electrodes; Mental ability; Amplitude modulation; Psychophysiology; Biofeedback;

机译：神经病学;脑电图;脑;实时;接口;认知;电极;心理能力;幅度调制;心理生理学;生物反馈;

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EEG-Based Control: Neurologic Mechanisms of Steady-State Self-Regulation

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