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首页> 外文期刊>American journal of applied sciences >BISPECTRAL ANALYSIS OF SCALP ELECTROENCEPHALOGRAMS: QUADRATIC PHASECOUPLING PHENOMENON IN DETECTING BRAIN TUMOR | Science Publications
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BISPECTRAL ANALYSIS OF SCALP ELECTROENCEPHALOGRAMS: QUADRATIC PHASECOUPLING PHENOMENON IN DETECTING BRAIN TUMOR | Science Publications

机译：头皮脑电图的双光谱分析：脑肿瘤检测中的二次临床耦合现象科学出版物

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> Since the power spectral analysis of a non-Gaussian process generated by a nonlinear mechanism e.g., EEG, does not provide much information on the underlying nonlinear dynamics due to the lack of phase information, the higher-order statistics such as the bispectra are used to better understand the underlying nonlinear dynamics e.g., the quadratic phase coupling phenomena. The quadratic phase couplings have been observed in the EEG by the researchers over a decade for many diagnostic applications such as epilepsy, sleep, mental states. This study discusses the use of bispectral analysis of the EEG recorded from the posterior region of the head of the brain tumor patient in quantifying the quadratic phase couplings to indicate the presence of the tumor. The Bicoherence Index (BCI) or simply the Bicoherence (BIC) has been used for the purpose. Self-couplings (around 27-52%) in the [8-13] Hz (alpha) band and phase couplings (around 23-42%) in the [1-8] Hz (delta-theta) band have been observed for the normal subjects while only self-couplings (around <6.5% and around 40-53%) have been seen in both bands for the brain tumor patients. Significant lowering of coupling strengths (from 38.15% (±12.76%) to 3.51% (±3.28%)) in the alpha band and mild increase of them (from 32.76% (±18.73%) to 45.49% (±17.49%)) in the delta band have been observed for the brain tumor patients. The Power Ratio Index (PRI) based on the power spectrum is only statistically inferior (p>0.05) to the BIC in discriminating the brain tumor case from the normal one.
机译： >由于由非线性机制生成的非高斯过程的功率谱分析，例如EEG，由于缺少相位信息，高阶统计而导致的潜在非线性动力学提供了很多信息例如BISPectra用于更好地理解底层的非线性动力学，例如，二次相位耦合现象。研究人员在脑电图中观察到二次相位耦合，几十多个诊断应用，例如癫痫，睡眠，心理状态。本研究讨论了使用从脑肿瘤患者头部的后部区域进行的脑电图分析的使用，以定量二次相偶联表示肿瘤的存在。双相术指数（BCI）或简单地是双相（BIC）用于该目的。 [8-13] Hz（Alpha）带和相位偶联（迄今为止约23-42％）的自耦（约27-52％）已被观察到[1-8] Hz（Delta-Theta）带中在脑肿瘤患者的两个条带中，脑肿瘤患者的两个带都看到了正常的受试者。 α带和6.51％（±12.76％）的偶联强度（从38.15％（±3.28％）降低到3.51％（±3.28％）（从32.76％（±18.73％）到45.49％（±17.49％））在脑肿瘤患者观察到δ带中。基于功率谱的功率比率指数（PRI）仅在鉴别正常的脑肿瘤壳体时统计上劣等（P> 0.05）。

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