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of 6
pro vyhledávání: '"Niek Den Teuling"'
Autor:
Joyca Lacroix, Jan Tatousek, Niek Den Teuling, Thomas Visser, Charles Wells, Paul Wylie, Russell Rosenberg, Richard Bogan
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e40193 (2023)
BackgroundMany people worldwide experience obstructive sleep apnea, which is associated with medical and psychological problems. Continuous positive airway pressure (CPAP) is an efficacious therapy for obstructive sleep apnea, but its effect is limit
Externí odkaz:
https://doaj.org/article/edf6f64958e84fac98826eee61c42ced
Autor:
Joyca Lacroix, Jan Tatousek, Niek Den Teuling, Thomas Visser, Charles Wells, Paul Wylie, Russell Rosenberg, Richard Bogan
BACKGROUND Many people worldwide experience obstructive sleep apnea, which is associated with medical and psychological problems. Continuous positive airway pressure (CPAP) is an efficacious therapy for obstructive sleep apnea, but its effect is limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9761538300d7a7221e736962b417ed45
https://doi.org/10.2196/preprints.40193
https://doi.org/10.2196/preprints.40193
Publikováno v:
BMC Medical Research Methodology
BMC Medical Research Methodology, 21(1):269. BioMed Central
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-15 (2021)
BMC Medical Research Methodology, 21(269):269. BioMed Central
BMC Medical Research Methodology, 21(1):269. BioMed Central
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-15 (2021)
BMC Medical Research Methodology, 21(269):269. BioMed Central
Background Sleep apnea patients on CPAP therapy exhibit differences in how they adhere to the therapy. Previous studies have demonstrated the benefit of describing adherence in terms of discernible longitudinal patterns. However, these analyses have
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 21(4), 956-966. Institute of Electrical and Electronics Engineers
This paper explores the probabilistic properties of sleep stage sequences and transitions to improve the performance of sleep stage detection using cardiorespiratory features. A new classifier, based on conditional random fields, is used in different
Publikováno v:
Physiological Measurement, 39(5):055001. Institute of Physics
Objective: To compare conditional random fields (CRF), hidden Markov models (HMMs) and Bayesian linear discriminants (LDs) for cardiorespiratory sleep stage classification on a five-class sleep staging task (wake/N1/N2/N3/REM), to explore the benefit
Publikováno v:
IEEE Journal of Biomedical & Health Informatics; Jul2017, Vol. 21 Issue 4, p956-966, 11p