Lateralized Readiness Potential Of Statistical Analysis

Cognitive neuroscience is to explore the human brain mechanisms of a discipline, has become a hot topic in modern science, Event Related Potential (ERP) for its noninvasive and economy as the main means of Cognitive Neuroscience. Unilateral readiness potential is one of the basic components of the ERP, it refers to the potential in the preparation of voluntary movement, the reactive effector orientation corresponding contralateral cortex arise. Lateralized readiness potential (LRP) can be displayed correctly test the reaction rate, but also on the degree of movement prepared quantitatively, i.e., preparation of a high degree of motion, the LRP volatility is high. LRP study focuses on start point and peak measurements. LRP starting point is an important stage divided reaction time course index, LRP peak is characterized by the degree of preparation of indicators. Measurement of these two indicators are the basis for obtaining the LRP waveforms, but in reality, the low signal to noise ratio is greatly influenced LRP waveform start point and peak measurement accuracy. The traditional start-point measurement method has three categories, baseline drift method, threshold and segmented regression, baseline drift method and threshold method uses only local information LRP be inferred measurements severely affected by noise, by contrast, piecewise regression method is based on the overall information LRP measurements, however, can not properly describe the piecewise regression LRP’s continuous process.This paper proposes a method based on exponential fitting start point measurement, the method can overcome the effects of noise on the measurement, but also reflects the continuous process of LRP.eal data analysis showed that this method can greatly improve the measurement accuracy. This paper proposed a peak measurement method based on moving average. The result of this method is more accurate and stable measurement. These two methods are proposed not only for measuring the start point difference under different experimental conditions provides a more effective way to start the precise measurement point is also valid for the next single test conditions.