FIELD: computer equipment.
SUBSTANCE: invention relates to computer engineering for determination of human somnolence. Technical result is achieved by extracting a set of different HRV-related features from HR information, which extracted different HRV-related features, which are present among a plurality of features that can be extracted from the HR information, have been determined as specifically indicating the transition from the waking state of a person into the sleepy state of the individual, combining the derived different HRV-related features to form the deafness input data.
EFFECT: technical result is higher accuracy of detecting the occurrence of somnolence in humans.
20 cl, 7 dwg
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