Development And Application Of Near-infrared Spectroscopy

Functional near-infrared spectroscopy(FNIRS) is a new tool for detecting of human brain activations. Compared to other functional imaging methods, FNIRS has better temporal resolution, low instrumental and experimental costs, and Real-time display of images. Now related technology of FNIRS is developing, but it is still not mature to use FNIRS on real medical applications. The purpose of the paper is to improve the quality of FNIRS's signal,performing availability of FNIRS by machine learning method and promote the application level of FNIRS.First, the paper illustrates the principle of FNIRS, and summarizes the characteristic of FNIRS. Then according to the feature of FNIRS imaging method, independent component analysis( ICA ) is imported to brain signal's processing, signal processing result shows time scale between one of independent components and task of finger-tapping is no difference, which also can be found the evidence as BOLD signal on functional magnetic resonance imaging (fMRI). All this illustrates ICA is very suitable for FNIRS, especially on data of cognitive task of FNIRSSecond, by using machine learning method, we studied on brain computer interface( BCI ) based on FNIRS. Combining neural network's distinguishing ability on data of FNIRS, we construct a functional component---BCI. Experiment result indicates it is possible to use FNIRS for BCI's development. With FNIRS's low cost, it has good potential and importance to use FNIRS for BCI development, which also has excellent economic effectiveness and social benefit.Finally, we apply FNIRS for disease detection with Biostatistics method. Biostatistics is widely used on clinical data's analysis. The paper used FNIRS to detect brain signal on patients group, normal group, and then do statistic analysis on these two groups, we find that as a new imaging method, FNIRS has its own superiority on medical diagnosis. At same time, structure image of fMRI is merged together with statistics result, it becomes more convenient for medical staff.As a conclusion of paper, being a new imaging method, FNIRS has a bright prospective on biomedicine. FNIRS should be paid more attention and widely used.