Polygraphic signals analysis system in neurophysiological experiment

A. Shmakov
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Abstract

A polygraphic signals analysis system used for neurophysiological experiments is designed for postanalysis of the data acquired during the exploratory experiment. The polygraphic signals are represented by signals of ECG, EMG, SCR, SPL, and breathing. These signals are acquired from the patient for a state estimation of a vegetative nervous system during the experiment. The polygraphic signals are acquired simultaneously with encephalographic signals. The simultaneous and synchronized acquisition from the patient of the set of all the mentioned above signals is a necessary condition for learning correlation between processes happening in the cortex of a brain, and processes occurring in a vegetative nervous system. A system destined for an exploratory experiment requires continuous modifying of operation and data processing algorithms pursuant to changes of experiment conditions at minimum costs.
神经生理实验中的测谎信号分析系统
设计了一种用于神经生理学实验的多测信号分析系统,用于对探索性实验中获得的数据进行事后分析。多波信号由心电图、肌电图、可控硅、声压级和呼吸信号表示。这些信号是在实验过程中从病人那里获得的,用于对植物神经系统的状态估计。测谎信号与脑电图信号同时获得。同时和同步地从患者那里获得上述所有信号集是学习大脑皮层中发生的过程与植物神经系统中发生的过程之间的相关性的必要条件。用于探索性实验的系统需要以最小的成本根据实验条件的变化不断修改操作和数据处理算法。
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