FIELD: medicine.
SUBSTANCE: obtained EEG, EMG, EOG and ECG signals are filtered, EOG, ECG and EMG artifacts are removed from the EEG channels. The EEG signal is divided into 30-second epochs and computer processing of the obtained polysomnographic (PSG) recording is carried out. PSG recording is carried out for at least three days. The first epoch is marked with the main cortical rhythm of wakefulness. Numerical data on the cortical rhythm of wakefulness: amplitude, frequency, localization, morphology are obtained. The obtained parameters are entered into the logical artificial intelligence block as a starting point. Individual signs of sleep or wakefulness are determined within each epoch by comparing with the results of the analysis of the previously selected epoch. Epochs are classified according to phases and stages of sleep, distinguishing two phases: the REM sleep phase — R and the slow-wave sleep phase — N, which includes three stages: the first — N1, the second — N2, and the third — N3. A graphical representation of the results of the classification of epochs by phases and stages of sleep is formed, which is a hypnogram for the entire duration of the recording procedure; and the duration of sleep in each of the phases and stages for each day is calculated.
EFFECT: method allows to more accurately determine the phases and stages of sleep in patients with chronic disorders of consciousness, to carry out differential diagnostics of the level of consciousness, to predict the course of the disease, and also provides automation of the manual analysis of a long-term PSG record.
1 cl, 4 dwg, 1 tbl, 4 ex
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Authors
Dates
2023-09-22—Published
2022-11-14—Filed