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Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group.
Tuesday,2012-11-06 12:05 America/Los_Angeles — eenright
| Title | Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. |
| Publication Type | Journal Article |
| Year of Publication | 1998 |
| Authors | Redline, S, Sanders, MH, Lind, BK, Quan, SF, Iber, C, Gottlieb, DJ, Bonekat, WH, Rapoport, DM, Smith, PL, Kiley, JP |
| Journal | Sleep |
| Volume | 21 |
| Issue | 7 |
| Pagination | 759-67 |
| Date Published | 1998 Nov 01 |
| ISSN | 0161-8105 |
| Keywords | Electroencephalography, Electromyography, Feasibility Studies, Humans, Licensure, Polysomnography, Research Design, Sleep Apnea Syndromes, Teaching |
| 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> |
| Alternate Journal | Sleep |
| PubMed ID | 11300121 |
| Grant List | U01 HL053938 / HL / NHLBI NIH HHS / United States U01HL53940 / HL / NHLBI NIH HHS / United States U01HL53941 / HL / NHLBI NIH HHS / United States UO1HL53938 / HL / NHLBI NIH HHS / United States |