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References
- Manual of standardized terminology, techniques, and scoring system for sleep stages of human subjects.US Department of Health, Education, and Welfare Public Health Service – National Institute of Health, Bethesda1968
- Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders.J Sleep Res. 2004; 13: 63-69
- Digital analysis and technical specifications.J Clin Sleep Med. 2007; 3: 109-120
- for the American Academy of sleep medicine: the AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications. Version 2.6.American Academy of Sleep Medicine, Darien2020
- An E-health solution for automatic sleep classification according to rechtschaffen and Kales: validation study of the somnolyzer 24 x 7 utilizing the siesta database.Neuropsychobiology. 2005; 51: 115-133
- Odds ratio product of sleep EEG as a continuous measure of sleep state.Sleep. 2015; 38: 641-654
- Reinventing polysomnography in the age of precision medicine.Sleep Med Rev. 2020; 52: 101313
- Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.Physiol Meas. 2018; 39: 09TR01
- Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy.Nat Commun. 2018; 9: 5229
- Technologische entwicklungen in der Schlafmedizin.Somnologie. 2017; 21: 91-92
- Evaluation of automatic analysis of SCSB, airflow, and oxygen saturation signals in patients with sleep related apneas.Chest. 1989; 96: 255-261
- Adaptive heartbeat modeling for beat-to-beat heart rate measurement in ballistocardiograms.IEEE J Biomed Health Inform. 2015; 19: 1945-1952
- Sleep/wake measurement using a non-contact biomotion sensor.J Sleep Res. 2011; 20: 356-366
- Nocturnal blood pressure fluctuations measured by using pulse transit time in patients with severe obstructive sleep apnea syndrome.Sleep Breath. 2018; 22: 337-343
- Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm.Med Biol Eng Comput. 2016; 54: 1111-1121
- Periodic profound peripheral vasoconstriction – a new marker of obstructive sleep apnea.Sleep. 1999; 22: 939-946
- Peripheral vasoconstriction during REM sleep detected by a new plethysmographic method.Nat Med. 2000; 6: 606
- Diagnosis of obstructive sleep apnea by peripheral arterial tonometry meta-analysis.JAMA Otolaryngol Head Neck Surg. 2013; 139: 1343-1350
- Detecting central sleep apnea in adult patients using watch-PAT – a multicenter validation study.Sleep Breath. 2019; https://doi.org/10.1007/s11325-019-01904-5
- Characterization of respiratory events in obstructive sleep apnea using suprasternal pressure monitoring.J Clin Sleep Med. 2018; 14: 359-369
- Apnea and hypopnea characterization using esophageal pressure, respiratory inductance plethysmography, and suprasternal pressure: a comparative study.Sleep and Breathing. 2019; 23: 1169-1176
- Management of obstructive sleep apnea in Europe.Sleep Med. 2011; 12: 190-197
- Pre-operative screening for obstructive sleep apnoea.Eur Respir Rev. 2017; 26: 160012
- Practice Parameters for the use of portable recording in the assessment of obstructive sleep apnea.Sleep. 1994; 17: 372-377
- Obstructive sleep apnea devices for out-of-center (OOC) testing: technology evaluation.J Clin Sleep Med. 2011; 7: 531-548
- Actigraphically based automatic bedtime sleep-wake scoring: validity and clinical applications.J Amb Monit. 1989; 2: 209-216
- Sleep hunter: towards fine grained sleep stage tracking with smartphones.IEEE Trans mobile Comput. 2016; 15: 1514-1527
- Alternative algorithms and devices in sleep apnoea diagnosis: what we know and what we expect.Curr Opin Pulm Med. 2020; 26: 650-656
- Consumer sleep technology: an American Academy of Sleep Medicine position statement.J Clin Sleep Med. 2018; 14: 877-880
- Feasibility of a UK community-based, eTherapy mental health service in greater manchester: repeated measures and between-groups study of ‘living life to the full interactive’, ‘sleepio’ and ‘breaking free online’ at ‘self help services’.BMJ Open. 2017; 7: e016392
- Telemedicine-based proactive patient management during positive airway pressure therapy Impact on therapy termination rate. Adherence monitoring.Somnologie. 2017; 21: 121-127
- Polysomnography challenges.Sleep Med Clin. 2016; 11: 403-411
- New technology to assess sleep apnea: wearables, smartphones, and accessories.F1000Res. 2018; 7: 413
- Estimating the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis.Lancet Respir Med. 2019; 7: 687-698
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