The invention relates to the technical field of
medical instruments, in particular to a
sleep monitoring system based on a non-invasive brain
oxygen saturation monitor, which comprises a
monitoring system and is used for synchronously and dynamically monitoring local brain
oxygen in real time, and the
monitoring system comprises a non-invasive brain
oxygen dynamic monitoring unit used for monitoring the brain blood
oxygen saturation of a patient in real time by adopting a near
infrared spectrum technology; the multi-parameter synchronous analysis unit is used for integrating the brain oxygen data, the electroencephalogram signals, the
cerebral blood flow data and the respiratory event indexes; the intelligent
risk assessment engine analyzes a brain oxygen change rule based on a
deep learning algorithm, and predicts a
brain function impairment risk caused by sleep
breathing disorder; in the intelligent
risk assessment engine, on the basis of a space-time
convolutional neural network, brain oxygen
time sequence data and
spatial distribution characteristics are combined, and a brain hypoxia mode of the OSA patient is recognized; the method has the characteristic of realizing early warning of the brain injury related to sleep
breathing disorder through noninvasive brain
oxygen monitoring, multi-parameter fusion analysis and intelligent
risk assessment.