Back to Bibliography Page

Methods for Obtaining and Analyzing Unattended Polysomnography Data for a Multicenter Study.

ABSTRACT

Summary:  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.

Keywords:  Polysomnography; epidemiology; sleep apnea

---