经典条件下眨眼反应控制与评估的计算机自动实验

B.R. Chumpitaz, S. Nazir, Y. Patel, M. Bergen
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引用次数: 2

摘要

经典条件眨眼实验为研究联想学习提供了另一种途径。这种类型的联想学习有许多重要的特征,有助于神经学研究,如帕金森病、阿尔茨海默病和慢性疲劳综合征。我们的目标是为东奥兰治退伍军人医疗中心设计一种便携式医疗设备,它可以收集人体的肌电图、心电图和呼吸信号,用于生物医学研究。该项目的主要优先事项是降低功耗,人身安全,增加便携性,并为设备使用最新技术。本系统使用LabView 6.0进行数据采集并传输到计算机中。该系统的硬件部分提供声信号,向眼睛吹气眨眼,并检测状态生理信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer automated experimentation for the control and assessment of the classically conditioned eye blink response
The classically conditioned eye blink experiment provides another way to study associative learning. This type of associative learning has many important features which are helpful in neurological studies such as Parkinson's disease, Alzheimer's disease, and chronic fatigue syndrome. Our goal was to design a portable medical device for East Orange, Veteran Affairs Medical Center, which collects electromyogram, electrocardiogram and respiration signals from a human subject for biomedical research studies. The major priorities of this project were to reduce power consumption, person's safety, increase portability and to use the latest technologies for the device. LabView 6.0 was used for this system which collects data from the subject and transferred it to the computer. Hardware components for this system provide acoustic signals, air puff to eye for blinking, and detect condition physiological signals.
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