A Multimodal Brain Physiological Monitoring System

Abstract

The invention discloses a multimodal brain physiological monitoring system, comprising a signal buffer preprocessing unit (3), a host computer (4), a signal synchronization module (10), a laser speckle blood flow imaging acquisition unit (21), a blood Oxygen information collection unit (22) and electrophysiological collection unit (23), reach control corresponding collection unit work through signal synchronous module (10) while, the signal receiving end corresponding to this collection unit in the buffer area is in the signal buffering control signal Driven and working at the same time to ensure the unity of the signal, the invention can continuously monitor the physiological changes of the brain in time-sharing, and save the collected multi-modal data with the upper computer at the end, which is convenient for further in-depth research in the later stage. At the same time, the present invention can avoid the problem that the acquisition unit directly communicates with the upper computer, which causes disordered data format and complicated signal interface.

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

Images