Register of the human brain acoustic area spectrum

G. Shabanov, А.А. Rybchenko, Y. Lebedev, Е.А. Lugovaya
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Abstract

Abstract. Last years, there were developed methods based on the human brain and body acoustic signals application. We consider human brain micro vibrations as an ancient, highly reliable, relatively rapid channel of the central nervous system with all the organism cells and structures. There is offered a method of the human brain acoustic area spectrum analysis and registration. Experimental sample “Register of the human brain micro vibrations spectrum is developed. The model of the human brain acoustic area generation is offered – neurovascular reflex and related with human brain blood vessels smooth muscularity nerve cells metabolism. In comparison with classical EEG, it is demonstrated that acoustic encephalogram also reflects human brain neuroreflex activity. Piezoelectric sensors, which feature in silicone membrane existence, are investigated. Such type of construction allowed to register human brain mechanical vibrations in the gamut from 0.1 up to 27 Hz. Spectral analysis is specific in that signal integration time is 160 seconds. Meanwhile, 12600 spectral harmonics of the human brain reticular activating system were reliably extracted. For convenience, all the acoustic area spectrum of the human brain was shrunk into segmental frame of reference which is frequency structured matrix of functional conditions multiplicity “multiple arousal” of 24х625 frequency cells size. All the developed technologies and device might be used for the organism adaptation estimations, psycho-emotional conditions estimations and functional-topical diagnosis of the internal parts of the human body.
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人脑声区频谱的登记
摘要近年来,已经开发出了基于人脑和人体声学信号的应用方法。我们认为人脑微振动是中枢神经系统与所有生物体细胞和结构之间的一个古老的、高度可靠的、相对快速的通道。提出了一种人脑声区谱分析与配准的方法。研制了实验样品“人脑微振动谱记录仪”。提出了人脑声区产生的模型——神经血管反射,与人脑血管平滑肌神经细胞代谢有关。通过与经典脑电图的比较,证实了声学脑电图也能反映人脑神经反射活动。对硅膜存在的压电传感器进行了研究。这种结构可以记录人类大脑在0.1到27赫兹范围内的机械振动。频谱分析的特殊性在于信号积分时间为160秒。同时,可靠地提取了人脑网状激活系统的12600个谱次。为方便起见,将人脑的所有声区谱缩小为一个参考框架,即24х625频率细胞大小的功能条件多重“多重觉醒”频率结构矩阵。所开发的技术和设备可用于机体适应性评估、心理情绪状况评估和人体内部功能局部诊断。
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