Research of AI Driven Light Health and Therapy

This article reports an experimental system of light health and therapy driven by Artificial intelligence (AI) technology. Light health and therapy, also known as phototherapy, is a therapy used to treat a variety of depression and neurodegenerative diseases, such as Seasonal Affective disorder (SAD) and Alzheimer's Disease (AD). Light therapy affect activity, functional connectivity and plasticity of multiple brain regions by adjusting the frequency and color temperature of illuminating system. The retina converts photon into electrical signals and transmits these stimulus into central nervous system to make resonances and oscillations to boost human mood and improve cognitive function. In life science, non-imaging vision system refers to light signal projected to the higher brain region through intrinsically photosensitive retinal ganglion cell (ipRGC cell) to participate in the regulation of circadian rhythm, emotion, cognition and other functions. The mechanism of this physiological phenomenon is not fully understood. This article introduce AI technology to make a closed loop experimental system to study this phenomenon. The goal of this paper is to use AI technology to analyze the input light stimulus and human physiological electrical signals, and try to find out the corresponding nonlinear relationship to guide the stimulation of light therapy.