Experimental Study On Stochastic Resonance To Enhance The Fine-motor Of Human Hand

Stochastic Resonance is a nonlinear phenomenon whereby the addition of noise can improve the detection of weak stimuli. It only exists in nonlinear systems and its typical characteristic is that the signal-to-noise radio (SNR), which is proportional to the system's sensitivity. This paper researches the fine-motor performance of human hand in order to explore the function of stochastic resonance on human nervous system.The fine-motor performance is a complex movement which is based on tactile sensation and other sense; and it is the foundation of human's daily life. But with ages increased and affected by some diseases such as diabetes mellitus and stroke, the fine-motor performance of human hand will be impaired greatly. The aim of this paper is to use stochastic resonance to enhance the fine-motor performance of human hand.We evaluate the effect of noise on fine-motor performance in different levers due to unimodal stochastic resonance and crossmodal stochastic resonance. Electrical noise that applied to human body equals to mechanical tactile sensation and it use the same pathway as fine-motor does while auditory noise use auditory pathway. So the research of using electrical noise and auditory noise on fine-motor performance belongs to unimodal stochastic resonance and crossmodal stochastic resonance seperately. We not only use the method of psychophysics to enhance two-point discrimination of hand but also use the Peg-board test to enhance the fine-motor performance of human hand. Lastly, we explore the function of noise on the activation of motorsensory cortex of the brain and the suppression ofμandβrhythm.The result shows that optimal noise can enhance the two-point discrimination and the fine-motor performance which plots an inverse U shape with the noise intensity that is a typical characteristic of stochastic resonance. Noise can improve the ability of information processing of motorsensory cortex. The research of this paper laid the foundation for understand the method of information processing and neural encoding mechanism.