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EXPERT OPINION

The Future of Sleep Staging, Revisited

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Pages 313-322 | Received 03 Feb 2023, Accepted 19 Apr 2023, Published online: 02 May 2023

References

  • Rechtschaffen A, Kales A. A Manual of Standardised Terminology. Techniques and Scoring System for Sleep Stages of Human Subjects. Washington: Public Health Service, USA Government Printing Office; 1968.
  • Himanen SL, Hasan J. Limitations of Rechtschaffen and Kales. Sleep Med Rev. 2000;4(2):149–167. doi:10.1053/smrv.1999.0086
  • Jasper H. Report of the committee on methods of clinical examination in electroencephalography. Electroencephalogr Clin Neurophysiol. 1958;10:370–375. doi:10.1016/0013-4694(58)90053-1
  • Kubicki S, Hermann WM, Holler L. Critical comments on the rules by Rechtschaffen and Kales concerning the visual evalution of EEG sleep records. In: Kubicki S, Hermann WM, editors. Methods of Sleep Research. Stuttgart: Gustav Fischer; 1985:19–35.
  • Ferri R, Ferri P, Colognola RM, Petrella MA, Musumeci SA, Bergonzi P. Comparison between the results of an automatic and a visual scoring of sleep EEG recordings. Sleep. 1989;12(4):354–362. doi:10.1093/sleep/12.4.354
  • Dement W, Kleitman N. Cyclic variations in EEG during sleep and their relation to eye movements, body motility, and dreaming. Electroencephalogr Clin Neurophysiol. 1957;9(4):673–690. doi:10.1016/0013-4694(57)90088-3
  • Stanley, Neil. The future of sleep staging.Hum Psychopharmacol. 1996;11(3):253–256.
  • Iber C, Ancoli-Israel S, Chesson A, Quan SF. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology, and Technical Specification. 1st ed. Westchester, IL: American Academy of Sleep Medicine; 2007.
  • Loomis AL, Harvey EN, Hobart G. Further observations on the potential rhythms of the cerebral cortex during sleep. Science. 1935;82(2122):198–200. doi:10.1126/science.82.2122.198
  • Moser D, Anderer P, Gruber G, et al. Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters. Sleep. 2009;32(2):139–149. doi:10.1093/sleep/32.2.139
  • Danker‐hopfe H, Anderer P, Zeitlhofer J, et al. Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard. J Sleep Res. 2009;18(1):74–84. doi:10.1111/j.1365-2869.2008.00700.x
  • Lee YJ, Lee JY, Cho JH, Choi JH. Inter-rater reliability of sleep stage scoring: a meta-analysis. J Clin Sleep Med. 2021;2021:193–202. doi:10.5664/jcsm.9538
  • Bandyopadhyay A, Goldstein C. Clinical applications of artificial intelligence in sleep medicine: a sleep clinician’s perspective. Sleep Breath. 2022;9:1–7. doi:10.1007/s11325-022-02593-4
  • Stanus E, Lacroix B, Kerkhofs M, Mendlewicz J. Automated sleep scoring: a comparative reliability study of two algorithms. Electroencephalogr Clin Neurophysiol. 1987;66(4):448–456. doi:10.1016/0013-4694(87)90214-8
  • Klosh G, Kemp B, Penzel T, et al. The SIESTA project polygraphic and clinical database. IEEE Eng Med Biol Mag. 2001;20(3):51–57. doi:10.1109/51.932725
  • Penzel T, Glos M, Garcia C, Schoebel C, Fietze I. The SIESTA database and the SIESTA sleep analyser. Annual International Conference of the IEEE Engineering in Medicine and Biology Society; IEEE; 2011:8323–8326. doi:10.1109/iembs.2011.6092052
  • Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J. A simple format for exchange of digitised polygraphic recordings. Electroencephalogr Clin Neurophysiol. 1992;82(5):391–393. doi:10.1016/0013-4694(92)90009-7
  • Silber MH, Ancoli-Israel S, Bonnet MH, et al. The visual scoring of sleep in adults. J Clin Sleep Med. 2007;3(02):121–131. doi:10.5664/jcsm.26814
  • Keenan S, Hirshkositz M. Sleep Stage Scoring. In: Kryger MH, Roth T, Goldstein CA, editors. Kryger’s Principles and Practice of Sleep Medicine. Philadelphia: Elsevier Health Sciences; 2021:1839–1847.
  • Höller L, Riemer H. Comparison of visual analysis and automatic sleep stage scoring (Oxford Medilog 9000 System). Eur Neurol. 1986;25(Suppl. 2):36–45. doi:10.1159/000116080
  • Hoelscher TJ, Erwin CW, Marsh GR, Webb MD, Radtke RA, Anne L. Ambulatory sleep monitoring with the Oxford-Medilog 9000: technical acceptability, patient acceptance, and clinical indications. Sleep. 1987;10(6):606–607. doi:10.1093/sleep/10.6.606
  • Hoelscher TJ, McCall WV, Powell J, Marsh GR, Erwin CW. Two methods of scoring sleep with the Oxford Medilog 9000: comparison to conventional paper scoring. Sleep. 1989;12(2):133–139. doi:10.1093/sleep/12.2.133
  • Terzano MG, Parrino L. Clinical applications of cyclic alternating pattern. Physiol Behav. 1993;54(4):807–813. doi:10.1016/0031-9384(93)90096-X
  • Parrino L, Boselli M, Spaggiari MC, Smerieri A, Terzano MG. Cyclic alternating pattern (CAP) in normal sleep: polysomnographic parameters in different age groups. Electroencephalogr Clin Neurophysiol. 1998;107(6):439–450. doi:10.1016/S0013-4694(98)00108-4
  • Terzano MG, Parrino L, Sherieri A, et al. Atlas, rules, and recording techniques for the scoring of cyclic alternating pattern (CAP) in human sleep. Sleep Med. 2001;2(6):537–553. doi:10.1016/S1389-9457(01)00149-6
  • Jobert M, Tismer C, Poiseau E, Schulz H. Wavelets—a new tool in sleep biosignal analysis. J Sleep Res. 1994;3(4):223–232. doi:10.1111/j.1365-2869.1994.tb00135.x
  • Oropesa E, Cycon HL, Jobert M. Sleep Stage Classification Using Wavelet Transform and Neural Network. Berkeley, California: International Computer Science Institute; 1999.
  • Pardey J, Roberts S, Tarassenko L, Stradling J. A new approach to the analysis of the human sleep/wakefulness continuum. J Sleep Res. 1996;5(4):201–210. doi:10.1111/j.1365-2869.1996.00201.x
  • Roberts S, Tarassenko L. New method of automated sleep quantification. Med Biol Eng Comput. 1992;30(5):509–517. doi:10.1007/BF02457830
  • Hirshkowitz M, Moore CA. Issues in computerised polysomnography. Sleep. 1994;17(2):105–112. doi:10.1093/sleep/17.2.105a
  • Hori T, Hayashi M, Morikawa T. Topographical EEG changes and the hypnagogic experience. In: Ogilvie RD, Harsh JR, editors. Sleep Onset: Normal and Abnormal Processes. Washington: American Psychological Association;1994:237–253. doi:10.1037/10166-000
  • Kan DP, Lee PF. Decrease alpha waves in depression: an electroencephalogram (EEG) study. In: 2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS); IEEE; 2015:156–161. doi:10.1109/icbaps.2015.7292237
  • Schenck CH, Mahowald MW, Kim SW, O’Connor KA, Hurwitz TD. Prominent eye movements during NREM sleep and REM sleep behavior disorder associated with fluoxetine treatment of depression and obsessive-compulsive disorder. Sleep. 1992;15(3):226–235. doi:10.1093/sleep/15.3.226
  • Smith JR, Karacan I, Yang M. Ontogeny of delta activity during human sleep. Electroencephalogr Clin Neurophysiol. 1977;43(2):229–237. doi:10.1016/0013-4694(77)90130-4
  • Hauri P, Hawkins DR. Alpha-delta sleep. Electroencephalogr Clin Neurophysiol. 1973;34(3):233–237. doi:10.1016/0013-4694(73)90250-2
  • Smith JR, Karacan I. EEG sleep stage scoring by an automatic hybrid system. Electroencephalogr Clin Neurophysiol. 1971;31(3):231–237. doi:10.1016/0013-4694(71)90092-7
  • Gaillard JM, Tissot R. Principles of automatic analysis of sleep records with a hybrid system. Comput Biomed Res. 1973;6(1):1–3. doi:10.1016/0010-4809(73)90059-1
  • Fiorillo L, Puiatti A, Papandrea M, et al. Automated sleep scoring: a review of the latest approaches. Sleep Med Rev. 2019;48:101204. doi:10.1016/j.smrv.2019.07.007
  • Kubat M, Pfurtscheller G, Flotzinger D. AI-based approach to automatic sleep classification. Biol Cybern. 1994;70(5):443–448. doi:10.1007/BF00203237
  • Phan H, Mikkelsen K. Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiol Meas. 2022;43:04TR01. doi:10.1088/1361-6579/ac6049
  • Huang J, Ren L, Zhou X, Yan K. An improved neural network based on SENet for sleep stage classification. IEEE J Biomed Health Inform. 2022;26(10):4948–4956. doi:10.1109/JBHI.2022.3157262