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Stress detection and reduction using EEG signals

机译：使用脑电信号进行压力检测和缓解

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摘要

According to world health organization, stress is a significant problem of our times and affects both physical as well as the mental health of people. There are various traditional stress detection methods are available. Research in area of stress detection has developed many techniques for monitoring the human brain that can be used to study the human behavior. However, there are researches on stress detection methods and not on stress reduction methods in terms of technology. This research proposes a novel method that detects the stress using EEG signals and reduces the stress by introducing the interventions into the system. This research uses the k-means clustering method to measure the perceived stress which divide the subjects into different categories and estimate the stress level. The proposed method is useful in developing products for human stress reduction. The success of implementation and development of this research will expected to help in reducing time consumed and human power in determining best solution for stress management.
机译：根据世界卫生组织的说法，压力是当今时代的一个重要问题，它影响着人们的身心健康。有多种传统的压力检测方法可用。压力检测领域的研究已经开发出许多用于监视人脑的技术，这些技术可用于研究人的行为。但是，从技术的角度出发，对应力检测方法而不是应力降低方法进行了研究。这项研究提出了一种新颖的方法，该方法使用EEG信号检测压力并通过将干预措施引入系统来降低压力。这项研究使用k均值聚类方法来测量感知到的压力，该压力将受试者分为不同的类别并估计压力水平。所提出的方法可用于开发用于减轻人的压力的产品。这项研究的成功实施和发展有望帮助减少确定压力管理最佳解决方案所花费的时间和人力。

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