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Titolo:
METHODS FOR OBTAINING AND ANALYZING UNATTENDED POLYSOMNOGRAPHY DATA FOR A MULTICENTER STUDY
Autore:
REDLINE S; SANDERS MH; LIND BK; QUAN SF; IBER C; GOTTLIEB DJ; BONEKAT WH; RAPOPORT DM; SMITH PL; KILEY JP;
Indirizzi:
RAINBOW BABIES & CHILDRENS HOSP,DIV CLIN EPIDEMIOL,11100 EUCLID AVE CLEVELAND OH 44106 CASE WESTERN RESERVE UNIV,DEPT MED CLEVELAND OH 44106 UNIV PITTSBURGH,DEPT MED PITTSBURGH PA 00000 UNIV PITTSBURGH,DEPT ANESTHESIOL PITTSBURGH PA 00000 UNIV WASHINGTON,DEPT BIOSTAT SEATTLE WA 98195 UNIV ARIZONA,DEPT MED TUCSON AZ 00000 UNIV ARIZONA,RESP SCI CTR TUCSON AZ 00000 UNIV MINNESOTA,DEPT MED MINNEAPOLIS MN 55455 BOSTON UNIV,DEPT MED BOSTON MA 00000 UNIV CALIF DAVIS,DEPT MED DAVIS CA 00000 NYU,DEPT MED NEW YORK NY 10016 JOHNS HOPKINS UNIV,DEPT MED BALTIMORE MD 00000 NHLBI,NIH BETHESDA MD 20892
Titolo Testata:
Sleep (New York, N.Y.)
fascicolo: 7, volume: 21, anno: 1998,
pagine: 759 - 767
SICI:
0161-8105(1998)21:7<759:MFOAAU>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Keywords:
POLYSOMNOGRAPHY; EPIDEMIOLOGY; SLEEP APNEA;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
4
Recensione:
Indirizzi per estratti:
Citazione:
S. Redline et al., "METHODS FOR OBTAINING AND ANALYZING UNATTENDED POLYSOMNOGRAPHY DATA FOR A MULTICENTER STUDY", Sleep (New York, N.Y.), 21(7), 1998, pp. 759-767

Abstract

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 judgedto 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 proportionof 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 studiesperformed in a research setting. Data most susceptible to poor signalquality are sleep staging and arousal data that require clear EEG (electroencephalograph) and EMG signals.

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Documento generato il 02/12/20 alle ore 13:07:12