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首页> 外文期刊>International Journal of Engineering and Manufacturing(IJEM) >Neural Spike Feature Extraction of Globus Pallidus Based on Wavelet Package Decomposition
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Neural Spike Feature Extraction of Globus Pallidus Based on Wavelet Package Decomposition

机译:基于小波包分解的苍白神经刺突特征提取

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In this study, features of neural signal recordings with microelectrode injected into the internal globus pallidus of non-human primates before and after 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP) treatment which induces Parkinson’s disease (PD) were investigated. Neural oscillations were analyzed using the measure of wavelet spectrum and singular value extraction. Differences in the time-frequency analysis were observed between groups. Results showed that the PD states had significantly higher amplitudes of spectrum. Singular values extracted from wavelet coefficients after wavelet package decomposition were used to differentiate pathological changes from normal states, and the singular values of the reconstructed wavelet coefficients of the PD states were statistically smaller than controls. We speculate that the irregular high frequency oscillations and reduced singular values observed in the pathological firings are consistent with the previous view that a loss of information transmission in the neural circuitry underlies PD and these measurements could be of diagnostic and monitoring values of the disease state.
机译:在这项研究中,神经电极信号记录的特征是在诱导诱发帕金森氏病的1-甲基-4-苯基-1,2,3,6-四氢吡啶(MPTP)处理之前和之后,将微电极注入非人类灵长类动物的内部苍白球。 (PD)进行了调查。使用小波谱测量和奇异值提取来分析神经振荡。两组之间在时频分析上存在差异。结果表明,PD状态具有明显更高的频谱幅度。从小波包分解后的小波系数中提取的奇异值用于区分正常状态下的病理变化,PD状态的重构小波系数的奇异值在统计学上小于对照组。我们推测,在病理性放电中观察到的不规则高频振荡和奇异值减小与先前的观点一致,即神经回路中信息传递的损失是PD的基础,而这些测量结果可能是诊断和监测疾病状态的值。

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