SENSORY STIMULI TO INCREASE ACCURACY OF SLEEP STAGING Russian patent published in 2018 - IPC A61B5/476 A61B5/11 

Abstract RU 2672684 C2

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine. This method for detecting sleep stages of a patient is carried out using a sleep stage detection system. Wherein a stimulus to the subject is provided by a stimulus source. Sensors generate output signals to transmit information related to one or more physiological parameters of the subject related to the EEG, EMG, EOG and subject’s movement. Using a reaction module, based on one or more physiological parameters, reactions to stimuli are analyzed. It is followed by generating sleep stage estimation of the subject, using a sleep stage module, based on one or more physiological parameters and determining the probability of accuracy of the estimation of the sleep stage. Using the comparison module, it is determined whether the probability of the accuracy of the estimation exceeds the preset threshold. Using the stimulus control module, in response to the probability of accuracy of the estimation, not exceeding the preset threshold, the reassessment stimulus is provided for the subject. Reassessment stimulus is provided repeatedly with increasing intensity until the probability of the accuracy of the estimation exceeds the preset threshold. Using the response module, the response to the reassessment stimulus is analyzed based on one or more physiological parameters. Using the sleep stage module, the estimation of the sleep stages and/or the probability of the accuracy of the estimation is assessed again, based on the analyzed response to the reassessment stimulus.

EFFECT: increase in the accuracy of the assessment of the estimation of sleep stages and an increase in the probability of the accuracy of the estimation of the assessment of sleep stages.

9 cl, 5 dwg

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RU 2 672 684 C2

Authors

Garsiya Molina Gari Nelson

Pastor Sander Teodor

Pfundtner Stefan

Ridner Bredi Aleksander

Bellesi Mishel

Tononi Dzhulio

Dates

2018-11-19Published

2014-01-28Filed