Methods for obtaining and analyzing unattended polysomnography data for a multicenter study.
This paper reviews the data collection, processing, and analysis approaches developed to obtain comprehensive unattended polysomnographic data for the Sleep Heart Health Study, a multicenter study of the cardiovascular consequences of sleep-disordered breathing.
Protocols were developed and implemented to standardize in-home data collection procedures and to perform centralized sleep scoring.
Of 7027 studies performed on 6697 participants, 5534 studies were determined to be technically acceptable (failure rate 5.3%). Quality grades varied over time, reflecting the influences of variable technician experience, and equipment aging and modifications.
Eighty-seven percent of studies were judged to be of good quality or better, and 75% were judged to be of sufficient quality to provide reliable sleep staging and arousal data.
Poor submental EMG (electromyogram) accounted for the largest proportion of poor signal grades (9% of studies had<2 hours artifact free EMG signal).
These data suggest that with rigorous training and clear protocols for data collection and processing, good-quality multichannel polysomnography data can be obtained for a majority of unattended studies performed in a research setting.
Data most susceptible to poor signal quality are sleep staging and arousal data that require clear EEG (electroencephalograph) and EMG signals.
Mots-clés Pascal : Sommeil, Apnée, Polysomnographie, Méthode analyse, A domicile, Monitorage, Epidémiologie, Vigilance, Electrophysiologie, Homme
Mots-clés Pascal anglais : Sleep, Apnea, Polysomnography, Analysis method, At home, Monitoring, Epidemiology, Vigilance, Electrophysiology, Human
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0535781
Code Inist : 002B30A01A1. Création : 23/03/1999.