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
Group healthy subjects - 1): absence of sleep disorder referenced in the ICSD-3.
Epworth Sleep Scale < 11
Pittsburgh Quality Sleep Index < 6
Berlin Questionnaire: < 2 positive categories
Cardiac rhythm disorder
Neurological or psychiatric pathology impacting on ANS
Control group (healthy subjects - 1)
Complaint of sleep disorder