Electrode Area Analysis of EEG Signals Received from Schizophrenic Individuals

Ö. Akgün
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Abstract

It is very difficult to distinguish between healthy and schizophrenic individuals based on raw data. However, with the analyzes made, the separation of healthy and sick individuals from each other has become quite evident. In the study, EEG signals were obtained by means of electrodes from the anterior region, middle and posterior regions of the brain, and analyzed according to their positions. Apart from the time-amplitude graph, PSD and STFT analyzes have also performed the analyzes and the results were compared. As a result of this study, the results of PSD analysis are quite successful in distinguishing between healthy and schizophrenic individuals. In this sense, this method includes features that can be used by physicians for diagnostic purposes. In addition, the analysis results are compatible with each other and the results are meaningful. In particular, the results of PSD analyses give very distinctive results that can be used for diagnosis. In addition, the results of the analyzes made with the STFT method are also compatible with the PSD analyses, where healthy individuals have a trend of around 10 Hz, and individuals diagnosed with schizophrenia have a trend of up to 20 Hz.
精神分裂症患者脑电信号的电极面积分析
根据原始数据很难区分健康个体和精神分裂症个体。然而,随着分析的进行,健康个体和患病个体之间的分离已经变得相当明显。在本研究中,通过电极从大脑的前、中、后三个区域获取EEG信号,并根据它们的位置进行分析。除了时间振幅图,PSD和STFT分析也进行了分析,并对结果进行了比较。作为这项研究的结果,PSD分析结果在区分健康和精神分裂症个体方面相当成功。从这个意义上说,该方法包括医生可用于诊断目的的特征。分析结果一致,具有一定的意义。特别是,PSD分析的结果给出了非常独特的结果,可用于诊断。此外,用STFT方法进行的分析结果也与PSD分析相一致,其中健康个体的趋势约为10 Hz,而被诊断为精神分裂症的个体的趋势高达20 Hz。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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