@article {645,
	title = {Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group.},
	journal = {Sleep},
	volume = {21},
	year = {1998},
	month = {1998 Nov 01},
	pages = {759-67},
	abstract = {<p>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.</p>},
	keywords = {Electroencephalography, Electromyography, Feasibility Studies, Humans, Licensure, Polysomnography, Research Design, Sleep Apnea Syndromes, Teaching},
	issn = {0161-8105},
	author = {Redline, S and Sanders, M H and Lind, B K and Quan, S F and Iber, C and Gottlieb, D J and Bonekat, W H and Rapoport, D M and Smith, P L and Kiley, J P}
}
