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A comparison of automated and manual sleep staging and respiratory event recognition in a portable sleep diagnostic device with in-lab sleep study
Author(s) -
Zhigang Zhang,
Mudiaga Sowho,
Tamás Ötvös,
Larissa Sanglard Sperandio,
Joshua East,
F. Sgambati,
Alan R. Schwartz,
Hartmut Schneider
Publication year - 2020
Publication title -
journal of clinical sleep medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 92
eISSN - 1550-9397
pISSN - 1550-9389
DOI - 10.5664/jcsm.8278
Subject(s) - concordance , polysomnography , medicine , sleep (system call) , sleep stages , breathing , correlation , sleep apnea , sleep disordered breathing , sleep study , concordance correlation coefficient , apnea , audiology , obstructive sleep apnea , computer science , anesthesia , statistics , geometry , operating system , mathematics
The objectives were to develop and validate an algorithm for editing WatchPAT scoring and assess the accuracy in an unselected clinical population as well as age and sex substrata.

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