Identification of Human Pain Perception using fNIRS

Abstract

Functional near-infrared spectroscopy (fNIRs) is a noninvasive, invivo technique that measure the brain activity through hemodynamic response on cerebral cortex area. fNIR spectral is preferred for their safeties, noiseless acquisition and comparatively cheapness. Human perception or sensation are also a game of concentration changing in brain that can be measured noninvasively by NIR spectroscopy. These signals derive from physical or chemical stimuli can investigate by statistical parametric mapping where the active channels are integrated with that MRI image. The aim of this study is to investigate human brain signal via fNIR and merge it with anatomical brain image via statistical mapping. Establish the relationship between human brain and pain perception as well as find the dominant channel from probable area. Statistical parametric software is utilized here for processing, mapping and estimating NIRS data.