Near infrared spectrum brain function imaging system and imaging signal sampling method

Abstract

The invention provides a near infrared spectrum brain function imaging system. The near infrared spectrum brain function imaging system comprises a signal transmitting end module, a signal receiving end module and a signal control end module, wherein the signal transmitting end module is used for generating a near-infrared light source signal; the signal receiving end module is used for converting a near-infrared light signal reflected by the cerebral cortex into a digital signal to realize imaging; and the signal control end module adaptively adjusts working arrays in the signal transmitting end module and the signal receiving end module. Meanwhile, the invention provides a near-infrared spectrum brain function imaging signal acquisition method which comprises the step of adaptively adjusting the working arrays in the signal transmitting end module and the signal receiving end module through the signal control end to obtain a digital signal output by the signal receiving end. On the premise that the imaging precision and the manufacturing cost are guaranteed, meanwhile, the advantages of good battery performance, low power consumption and high data imaging precision are achieved.

Description

technical field [0001] The invention relates to the technical field of brain function monitoring, in particular to an adaptive near-infrared spectrum brain function imaging system and an imaging signal sampling method. Background technique [0002] Functional near-infrared spectroscopy (fNIRS) is a convenient and non-invasive method for mapping functional human cerebral cortex by using the penetration of near-infrared light and the absorption characteristics of hemoglobin to near-infrared spectrum. Neural readout and imaging techniques. Compared with traditional imaging techniques such as functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG) and electroencephalography (EEG), the sensitivity, specificity and dynamics of tissue function changes, as well as the used It has obvious advantages in terms of safety, portability, and cost performance, and is expected to truly realize submillimeter resolution and applications in large crowds, long-term, and natur...

AI Technical Summary

Problems solved by technology

However, the existing technologies do not control the working mode of the fNIRS system in an adaptive way, including the working frequency and sampling method, etc., and have not considered the activity state of the brain, and cannot further reduce the signal accuracy under the premise of ensuring the accuracy of the signal. Power Consumption of Large-Scale Optoelectronic Systems

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