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Acousto-Optic Devices Application for Bioelectric Signals Wavelet Processing

机译:声光器件用于生物电信号小波处理的应用

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Bioelectric signals processing is obligatory procedure which is inherent to all the systems providing diagnostics of human organism pathologies basing on the electric signals formed by cardiovascular system or cerebrum and central nervous system. Wavelet processing is one of the strongest methods of necessary information extraction from the recorded signals. A new method of wavelet processing performance has been proposed in the present paper. This method is based on the recently developed acousto-optic processing of bioelectric signals using spectral analyzers using time integration principle. The method means substitution of carrier frequency signal modulation with linear frequency modulated service signals by the modulation with mother wavelets. The output signal from the multielement photodetector represents wavelet transform of the recorded bioelectric signal. It has been found that the most perspective configurations of acousto-optic wavelet processors based on the mentioned principle are acousto-optic spectrum analyzers with combined time-and-space integration and acousto-optic processor of indefiniteness function formation. The basic advantage of the proposed method is the possibility to obtain the output processed signal in real time mode simultaneously with bioelectric signal recording.
机译:生物电信号处理是义务过程,其既固有的所有系统,提供人体生物病理诊断,该系统基于心血管系统或大脑和中枢神经系统形成的电信号。小波处理是从记录信号中提取的必要信息提取的最强方法之一。本文提出了一种新的小波加工性能方法。该方法基于使用时间集成原理的光谱分析仪的最近开发的生物电信号的声光处理。该方法意味着通过用母小波的调制来替换利用线性频率调制服务信号的载波频率信号调制。来自多元首光电探测器的输出信号表示记录的生物电信号的小波变换。已经发现,基于所述原理的声光小波处理器的最透视配置是具有综合时间和空间集成和无限函数形成的声光处理器的声光谱分析仪。所提出的方法的基本优点是能够与生物电信号记录同时在实时模式下获得输出处理信号。

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