基于脑电图信号的赛车心理与生理脑活动评价比较研究

Ahmed Mansour, Hebatalla Ouda
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引用次数: 1

摘要

如今,在多学科领域对物联网(IoT)技术的实现有着巨大的需求。物联网为医疗、交通、通信、工业、游戏娱乐、农业、安全....等不同的系统提供了一个合适的、适应性强的平台。本文通过一种新颖的思路,将物联网技术与云技术应用于医疗保健系统中,利用脑电图耳机来评估大脑的精神和身体活动。传统的脑电图头戴设备依赖于多电极侵入式脑电图,这给患者戴上这种头戴设备带来了压力和担忧。因此,所提出的架构模型依赖于使用现代、舒适、易于佩戴的脑电图耳机来通过赛车比赛收集数据。这些数据将被转发给Cloud进行分析,并指示脑电波诊断水平,以控制机器人汽车进入特定的挑战方向。通过使用Neurosky Mindwave EEG耳机,这种想法简化了传统心理评估的复杂性,使其易于使用并适应多种变化和发展。在本文中,我们旨在引入大脑竞赛的思想,作为不同场景下娱乐和大脑活动评估之间的一个新的过渡步骤,用于心理状态检测和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On The Road to A Comparative Car Racing EEG-based Signals for Mental and Physical Brain Activity Evaluation
Nowadays, there are massive demands for enabling Internet of Things (IoT) technology in multi-disciplines domains. IoT provides a suitable and adaptable platform for different system such healthcare, transportation, communication, industry, gaming and entertainment, agriculture, security….etc. This paper focuses on using IoT technology with Cloud in healthcare system through a novel idea to evaluate mental and physical brain activities by exploit EEG headset. The traditional EEG headsets rely on using invasive EEG with multiple electrodes, which makes patients stressed and worried from wearing such headset. Thus, the proposed architecture model relies on using a modern, comfortable, easy-wear EEG headset to collect data through a car racing competition. Such data will be forward to Cloud to perform analysis and indicate level of brainwave diagnostics in order to control a robotic car to pass into a certain challenge directions. This idea facilitates the complexity of the conventional mental evaluation by using Neurosky Mindwave EEG headset to be easy for use and adaptable with multiple changes and developments. In this paper, we aim to introduce the idea of Brain Race for mental status detection and evaluation as a new transition step between entertainment and brain activity evaluation at different scenarios.
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