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Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure

机译:Lempel-Ziv复杂性和短时傅立叶变换测量自闭症患者的定量脑电图本底活动分析

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Electroencephalography (EEG) is an essential tool for the evaluation and treatment of neurophysiologic disorders. Careful analysis of the EEG records can provide insight and improved understanding of the mechanism causing disorders. In this study we have investigated the EEG background activity in patients with Autism disease using frequency analysis methods. We calculated LZ complexity, Short Time Fourier Transform (STFT) and also STFT at bandwith of total spectrum (we name it STFT_BW) for 19 channels of EEG. Coefficients of the EEG in 11 Autism patients and 10 age control subjects with the same age were measured. These coefficient assessments with variance analysis. We find no significant different between Autism disorders and control subjects EEGs with STFT. On the other hand, Autism disorders had significantly difference LZ complexity value (p<0.05) at electrodes F7, T3 and T5. STFT at bandwidth (STFT_BW) had excellent different. FP1, F3 and T5 with (p<0.01) and F7, T3 and O1 with (p<0.05) had significantly differences. In addition our findings suggested that STFT_BW have 81.0% discriminate between normal and Autism subjects with Mahalanobis distance but LZ complexity and STFT haven''t results significant.
机译:脑电图(EEG)是用于评估和治疗神经生理障碍的必要工具。仔细分析EEG记录可以提供洞察力和改善对导致疾病的机制的理解。在这项研究中,我们研究了使用频率分析方法调查了患有自闭症疾病患者的EEG背景活动。我们计算了LZ复杂性,短时间傅里叶变换(STFT),并且在总光谱(我们名称为STFT_BW)的带有19个频道的带有总体的STFT。测量11例自闭症患者的脑电图的系数和10年龄对照组,具有相同年龄的治疗。这些系数评估具有方差分析。我们发现自闭症紊乱和控制主题eegs与stft之间没有显着差异。另一方面,在电极F7,T3和T5处具有显着差异LZ复合物值(P <0.05)的显着差异。带宽(Stft_bw)的Stft具有出色的不同。 FP1,F3和T5具有(P <0.01)和F7,T3和O1(P <0.05)具有显着差异。此外,我们的研究结果表明,STFT_BW在距离Mahalanobis距离之间的正常和自闭症科目之间存在81.0%,但LZ复杂性和Stft Haven不会产生重大意义。

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