基于脑电图的瘫痪病人开关控制器的设计

P. Srinivas, N. Deepak, K. G. Kumar, G. Navathej, B. Geethanjali, V. Mahesh
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引用次数: 1

摘要

本文描述了一种基于脑电图的切换系统,该系统利用从脑电图信号中提取的自愿眨眼进行激活。在颅额区放置2个表面电极,在耳廓附近放置3个表面电极作为参考,目的是提取患者的脑电图。研究发现,自愿眨眼时获得的脑电图信号较正常时产生的信号更清晰、幅度更大、频率不同。设计了ARM处理器,实现了对眨眼的有效提取。我们的系统有两种模式——语音模式,病人用它来表达他们想要什么,控制模式,帮助病人打开或关闭一个特定的设备。这些模式在很大程度上有助于减轻瘫痪主体的负担。在第一种模式中,利用zigbee技术将提取的脉冲无线传输到继电器电路。继电器电路被激活以接通所需的器件。而在第二种模式下,提取的眨眼将被用来为瘫痪患者选择和放置必要的语音文件(这些语音文件是一些预先定义的人的基本需求的录音)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Switch Controller for Paralytic Patients Using EEG
This report describes the EEG based switching system that uses voluntary eye blinks extracted from EEG signals for activation purpose. Here 2 surface electrodes are placed over the frontal region of the skull and the 3rd one near the auricular region for reference, for the purpose of extraction of EEG wave from the patient. It was found that EEG signal obtained during voluntary eye blink, produces clearer signals with larger amplitude and with a frequency differing from that of the normal EEG. An ARM processor is programmed for efficient extraction of eye blinks. Our system is operated in 2 modes -- Voice mode which is used by the patient to express what they want and control mode which helps the patient in switching ON or OFF a particular device. These modes helps in reducing the paralytic subject's burden to a great extent. In the first mode, the extracted pulse is transmitted wirelessly to the relay circuit using Zig bee technology. A relay circuit is activated to turn ON the desired device. Whereas in the second mode, the extracted blink will be used to select and lay the necessary voice file for the paralytic patient (these voice files are some pre-defined recordings of a person's basic needs).
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