The main objective of this study is to compare the different variations of the cardiac variability index measured thanks to the technique developed by the CIC-IT between subjects with severe SAS and healthy subjects with sleep pathology. In a first step, these two groups will be compared in REM sleep phase because it is the period during which the risk of sleep apnea syndrome is the highest. In a second step, the same methodology will be applied for the other sleep phases and correlations will be established with the other markers of cardiac variability (HRV) already known. This will allow to validate a reliable method of screening for SAS that is more accessible in ambulatory settings by means of a machine learning system based on artificial intelligence
Study Type
OBSERVATIONAL
Enrollment
97
Service de Neurophysiologie - unité de médecine du Sommeil - CHU Lille
Lille, France
RECRUITINGAbility of the high frequency variability index (HFVI) measured in REM sleep phase to differentiate subjects with severe SAS and healthy subjects with sleep pathology
Time frame: Baseline (The day of the polysomnography )
Mean value of the IVHF in the other sleep stages (N1, N2 and N3)
Variations of the IVHF between subjects with severe SAS and healthy subjects for the other sleep stages
Time frame: Baseline (The day of the polysomnography )
Mean value of other VFC variables in the different sleep stages (REM, N1, N2 and N3)
Variations of the other markers of cardiac variability between subjects with severe SAS and healthy subjects for all sleep phases
Time frame: Baseline (The day of the polysomnography )
Total score and sub-score of the SCOPA-AUT questionnaire (between 0-69), with the possibility of analysis of the different sub-scores.
Variation of other nervous system components by standardized questionnaire between a group with severe SAS and a group of control subjects
Time frame: Baseline (The day of the polysomnography )
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