Multiple modal brain physiology monitoring system

Abstract

The invention discloses a multiple modal brain physiology monitoring system. The system includes a signal cache pretreating unit (3), a host computer (4), a signal synchronizing module (10), a laser speckle blood flow imaging acquisition unit (21), a blood oxygen information acquisition unit (22), and an electrophysiology acquisition unit (23). The control of the working of the corresponding acquisition units is realized by the signal synchronizing module (10). Meanwhile, a signal receiving end corresponding to the acquisition units in a cache region works at the same time under the driving ofsignal cache control signals to ensure the unification of the signals. The multiple modal brain physiology monitoring system of the invention can continuously monitor brain physiology change at different time, and saves collected multiple modal data in the host computer which is at the rearmost end to facilitate further researches in the later stage. Meanwhile, the multiple modal brain physiologymonitoring system of the invention can avoid direct communicate between the acquisition units and the host computer which causes problems of data format disorder and complex signal interfaces.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a multimodal animal brain physiological real-time detection system used in experimental devices. Background technique [0002] Blood is crucial to living organisms, and blood flow is an important indicator to measure the functional state of living organisms. Especially cerebral blood flow, its role in microcirculation is closely related to the relationship between metabolic function activities. Most of the traditional blood flow detection methods such as Doppler flow meter do not have imaging capabilities, which is not conducive to in-depth research on biological functions and disease diagnosis and treatment. Laser speckle imaging technology uses a CCD camera to image speckle patterns, and analyzes the degree of spatial ambiguity caused by flow velocity to obtain a two-dimensional flow velocity distribution map with high spatial and temporal resolution. It does not require contra...

AI Technical Summary

Problems solved by technology

Most of the traditional blood flow detection methods such as Doppler flow meter do not have imaging capabilities, which is not conducive to in-depth research on biological functions and disease diagnosis and treatment

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