The application belongs to the technical field of sleep
neuroscience, and discloses a closed-loop directional memory reactivation
system and method. The method comprises the following steps: a
daytime learning stage, in which a binding relationship between learning materials and sensory stimulation clues is established; a nighttime sleep stage, in which electroencephalogram signals are collected in real time through a wearable electroencephalogram device,
sleep staging is distinguished, and when it is detected that a user enters a
steady state of slow wave sleep, the bound sensory stimulation clues (such as olfactory and / or auditory clues) are triggered to be output; the electroencephalogram is continuously monitored during the stimulation, and if micro-awakening is found, the stimulation is immediately interrupted; the
memory effect is verified the next day, and a comprehensive report is generated. The application also discloses a
system for realizing the method. The application realizes TMR intervention by constructing a "learning-stimulation-
verification" whole-process
closed loop, solves the problems of fragmented process, inaccurate control and
chaotic data in the prior art, and improves the reproducibility and application value of the scheme.