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Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring

(2019) BMJ OPEN. 9(11).
Author
Organization
Abstract
Introduction Polysomnography (PSG) is the primary tool for sleep monitoring and the diagnosis of sleep disorders. Recent advances in signal analysis make it possible to reveal more information from this rich data source. Furthermore, many innovative sleep monitoring techniques are being developed that are less obtrusive, easier to use over long time periods and in the home situation. Here, we describe the methods of the Sleep and Obstructive Sleep Apnoea Monitoring with Non-Invasive Applications (SOMNIA) project, yielding a database combining clinical PSG with advanced unobtrusive sleep monitoring modalities in a large cohort of patients with various sleep disorders. The SOMNIA database will facilitate the validation and assessment of the diagnostic value of the new techniques, as well as the development of additional indices and biomarkers derived from new and/or traditional sleep monitoring methods. Methods and analysis We aim to include at least 2100 subjects (both adults and children) with a variety of sleep disorders who undergo a PSG as part of standard clinical care in a dedicated sleep centre. Full-video PSG will be performed according to the standards of the American Academy of Sleep Medicine. Each recording will be supplemented with one or more new monitoring systems, including wrist-worn photoplethysmography and actigraphy, pressure sensing mattresses, multimicrophone recording of respiratory sounds including snoring, suprasternal pressure monitoring and multielectrode electromyography of the diaphragm.
Keywords
AUTOMATIC DETECTION, COMORBID INSOMNIA, APNEA, PRESSURE, CLASSIFICATION, RECORDINGS, ACTIGRAPHY, SEVERITY, VALIDITY, AROUSAL

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MLA
van Gilst, Merel M., et al. “Protocol of the SOMNIA Project : An Observational Study to Create a Neurophysiological Database for Advanced Clinical Sleep Monitoring.” BMJ OPEN, vol. 9, no. 11, 2019.
APA
van Gilst, M. M., van Dijk, J. P., Krijn, R., Hoondert, B., Fonseca, P., van Sloun, R. J. G., … Overeem, S. (2019). Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring. BMJ OPEN, 9(11).
Chicago author-date
Gilst, Merel M. van, Johannes P. van Dijk, Roy Krijn, Bertram Hoondert, Pedro Fonseca, Ruud J. G. van Sloun, Bruno Arsenali, et al. 2019. “Protocol of the SOMNIA Project : An Observational Study to Create a Neurophysiological Database for Advanced Clinical Sleep Monitoring.” BMJ OPEN 9 (11).
Chicago author-date (all authors)
van Gilst, Merel M., Johannes P. van Dijk, Roy Krijn, Bertram Hoondert, Pedro Fonseca, Ruud J. G. van Sloun, Bruno Arsenali, Nele Vandenbussche, Sigrid Pillen, Henning Maass, Leonie van den Heuvel, Reinder Haakma, Tim R. Leufkens, Coen Lauwerijssen, Jan W. M. Bergmans, Dirk Pevernagie, and Sebastiaan Overeem. 2019. “Protocol of the SOMNIA Project : An Observational Study to Create a Neurophysiological Database for Advanced Clinical Sleep Monitoring.” BMJ OPEN 9 (11).
Vancouver
1.
van Gilst MM, van Dijk JP, Krijn R, Hoondert B, Fonseca P, van Sloun RJG, et al. Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring. BMJ OPEN. 2019;9(11).
IEEE
[1]
M. M. van Gilst et al., “Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring,” BMJ OPEN, vol. 9, no. 11, 2019.
@article{8656248,
  abstract     = {Introduction Polysomnography (PSG) is the primary tool for sleep monitoring and the diagnosis of sleep disorders. Recent advances in signal analysis make it possible to reveal more information from this rich data source. Furthermore, many innovative sleep monitoring techniques are being developed that are less obtrusive, easier to use over long time periods and in the home situation. Here, we describe the methods of the Sleep and Obstructive Sleep Apnoea Monitoring with Non-Invasive Applications (SOMNIA) project, yielding a database combining clinical PSG with advanced unobtrusive sleep monitoring modalities in a large cohort of patients with various sleep disorders. The SOMNIA database will facilitate the validation and assessment of the diagnostic value of the new techniques, as well as the development of additional indices and biomarkers derived from new and/or traditional sleep monitoring methods.

Methods and analysis We aim to include at least 2100 subjects (both adults and children) with a variety of sleep disorders who undergo a PSG as part of standard clinical care in a dedicated sleep centre. Full-video PSG will be performed according to the standards of the American Academy of Sleep Medicine. Each recording will be supplemented with one or more new monitoring systems, including wrist-worn photoplethysmography and actigraphy, pressure sensing mattresses, multimicrophone recording of respiratory sounds including snoring, suprasternal pressure monitoring and multielectrode electromyography of the diaphragm.},
  articleno    = {e030996},
  author       = {van Gilst, Merel M. and van Dijk, Johannes P. and Krijn, Roy and Hoondert, Bertram and Fonseca, Pedro and van Sloun, Ruud J. G. and Arsenali, Bruno and Vandenbussche, Nele and Pillen, Sigrid and Maass, Henning and van den Heuvel, Leonie and Haakma, Reinder and Leufkens, Tim R. and Lauwerijssen, Coen and Bergmans, Jan W. M. and Pevernagie, Dirk and Overeem, Sebastiaan},
  issn         = {2044-6055},
  journal      = {BMJ OPEN},
  keywords     = {AUTOMATIC DETECTION,COMORBID INSOMNIA,APNEA,PRESSURE,CLASSIFICATION,RECORDINGS,ACTIGRAPHY,SEVERITY,VALIDITY,AROUSAL},
  language     = {eng},
  number       = {11},
  pages        = {9},
  title        = {Protocol of the SOMNIA project : an observational study to create a neurophysiological database for advanced clinical sleep monitoring},
  url          = {http://dx.doi.org/10.1136/bmjopen-2019-030996},
  volume       = {9},
  year         = {2019},
}

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