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首页> 外文期刊>Journal of medical systems >Diagnosis of Delusion and Hallucination from Schizophrenia Patient Using RADWT
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Diagnosis of Delusion and Hallucination from Schizophrenia Patient Using RADWT

机译:利用Radwt诊断精神分裂症患者的妄想和幻觉

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摘要

In this paper, early detection of schizophrenia types such as hallucination and delusion propose through the high Q-factor of RADWT in EEG signal acquired during the cognitive task of the patient. The earlier diagnose obtains from the energy distribution of the EEG signal in the high resolution via optimum tuning in dilation factor,which influences the Q-factor, redundancy and ringing in the EEG signal. The early detection of type of schizophrenia prevents the illness progression and lifelong disease. In existing clinical trial, the psych clinician diagnose only the schizophrenia disease through the standard DSM screening question and Prodromal signs checklist according to the standard of American Psychiatric Association. Furthermore, clinician tries to diagnose the disease through brain imaging and EEG signal. However, procedure in the diagnosis of Schizophrenia possible only in the acute stage, minimum after 2years of illness progression and still sub classification of the type of schizophrenia is a challenging task. In the proposed system, we acquire EEG signal during the three conditions such as reverse counting of the number, screening questions (DSM), and eye rest state with a distance of 1-m part of the clinician and patient to analyse cognitive behaviour. From the result of 25 patients EEG, signal during cognitive task show the different sub band energy pattern in RADWT to distinguish hallucination and delusion patient exactly for 21 patients and provide 84% of accuracy in sub-classification of type schizophrenia.
机译:在本文中,早期检测幻觉和妄想诸如幻觉和妄想中的精神分裂症类型,通过在患者的认知任务中获取的EEG信号中的RADWT的高Q因子提出。早期的诊断通过在扩张因子中的最佳调节中从高分辨率中的EEG信号的能量分布获得,这影响了EEG信号中的Q因子,冗余和振铃。精神分裂症类型的早期检测可防止疾病进展和终身疾病。在现有的临床试验中,心理临床医生通过标准DSM筛选问题和前驱标志清单诊断了精神分裂症疾病,根据美国精神病协会的标准。此外,临床医生试图通过脑成像和脑电图信号诊断疾病。但是,在急性阶段诊断精神分裂症的程序,2年疾病进展后的最低分类,精神分裂症的类型是一个具有挑战性的任务。在所提出的系统中,我们在三个条件下获取EEG信号,例如反向计数数量,筛选问题(DSM)和眼睛休息状态,距离临床医生和患者的一部分距离分析认知行为。从25例患者EEG的结果,认知任务期间的信号显示RADWT中的不同子带能模式,以分解幻觉和妄想患者的21名患者,并在精神分裂症型次分类中提供84%的精度。

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