Skip to main content
Top
Published in: Sleep and Breathing 3/2015

01-09-2015 | Editorial (invited)

EOG-based auto-staging: less is more

Authors: Christian Berthomier, Marie Brandewinder

Published in: Sleep and Breathing | Issue 3/2015

Login to get access

Excerpt

This issue of Sleep and Breathing presents the validation results of a new automated wake/sleep staging method based on EOG activity, developed by Jussi Virkkala from the Finnish Institute of Occupational Health. Classically, the automated method is compared to visual analysis, on an epoch by epoch basis. It reaches a level of global concordance of 88 % with a Kappa of 0.57. In other words, on the 248,696 epochs of the validation dataset, 212,138 were scored correctly in wake/sleep, that is as the human expert did it, and on 36,558 epochs, the two scorings differ. …
Literature
1.
go back to reference Roebuck A, Monasterio V, Gederi E, Osipov M, Behar J, Malhotra A, Penzel T, Clifford GD (2014) A review of signals used in sleep analysis. Physiol Meas 35(1):R1–R57PubMedCentralCrossRefPubMed Roebuck A, Monasterio V, Gederi E, Osipov M, Behar J, Malhotra A, Penzel T, Clifford GD (2014) A review of signals used in sleep analysis. Physiol Meas 35(1):R1–R57PubMedCentralCrossRefPubMed
2.
go back to reference Norman RG, Pal I, Stewart C, Walsleben JA, Rapoport DM (2000) Interobserver agreement among sleep scorers from different centers in a large dataset. Sleep 23(7):901–908PubMed Norman RG, Pal I, Stewart C, Walsleben JA, Rapoport DM (2000) Interobserver agreement among sleep scorers from different centers in a large dataset. Sleep 23(7):901–908PubMed
3.
go back to reference Danker-Hopfe H, Kunz D, Gruber G, Klösch G, Lorenzo JL, Himanen SL, Kemp B, Penzel T, Röschke J, Dorn H, Schlögl A, Trenker E, Dorffner G (2004) Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders. J Sleep Res 13:63–69CrossRefPubMed Danker-Hopfe H, Kunz D, Gruber G, Klösch G, Lorenzo JL, Himanen SL, Kemp B, Penzel T, Röschke J, Dorn H, Schlögl A, Trenker E, Dorffner G (2004) Interrater reliability between scorers from eight European sleep laboratories in subjects with different sleep disorders. J Sleep Res 13:63–69CrossRefPubMed
4.
go back to reference Moser D, Anderer P, Gruber G, Parapatics S, Loretz E, Boeck M, Kloesch G, Heller E, Schmidt A, Danker-Hopfe H, Saletu B, Zeitlhofer J, Dorffner G (2009) Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters. Sleep 32(2):139–149PubMedCentralPubMed Moser D, Anderer P, Gruber G, Parapatics S, Loretz E, Boeck M, Kloesch G, Heller E, Schmidt A, Danker-Hopfe H, Saletu B, Zeitlhofer J, Dorffner G (2009) Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters. Sleep 32(2):139–149PubMedCentralPubMed
5.
go back to reference Rosenberg RS, Van Hout S (2013) The American Academy of Sleep Medicine inter-scorer reliability program: sleep stage scoring. J Clin Sleep Med 9(1):81–87PubMedCentralPubMed Rosenberg RS, Van Hout S (2013) The American Academy of Sleep Medicine inter-scorer reliability program: sleep stage scoring. J Clin Sleep Med 9(1):81–87PubMedCentralPubMed
6.
go back to reference Penzel T, Zhang X, Fietze I (2013) Inter-scorer reliability between sleep centers can teach us what to improve in the scoring rules. J Clin Sleep Med: JCSM: Off Publ Am Acad Sleep Med 9(1):89–91 Penzel T, Zhang X, Fietze I (2013) Inter-scorer reliability between sleep centers can teach us what to improve in the scoring rules. J Clin Sleep Med: JCSM: Off Publ Am Acad Sleep Med 9(1):89–91
7.
go back to reference Magalang UJ, Chen NH, Cistulli PA, Fedson AC, Gíslason T, Hillman D, Penzel T, Tamisier R, Tufik S, Phillips G, Pack AI, Investigators SAGIC (2013) Agreement in the scoring of respiratory events and sleep among international sleep centers. Sleep 36(4):591–596PubMedCentralPubMed Magalang UJ, Chen NH, Cistulli PA, Fedson AC, Gíslason T, Hillman D, Penzel T, Tamisier R, Tufik S, Phillips G, Pack AI, Investigators SAGIC (2013) Agreement in the scoring of respiratory events and sleep among international sleep centers. Sleep 36(4):591–596PubMedCentralPubMed
8.
go back to reference Redline S, Dean D 3rd, Sanders MH (2013) Entering the era of “big data”: getting our metrics right. Sleep 36(4):465–469PubMedCentralPubMed Redline S, Dean D 3rd, Sanders MH (2013) Entering the era of “big data”: getting our metrics right. Sleep 36(4):465–469PubMedCentralPubMed
9.
go back to reference Zhang X, Dong X, Kantelhardt JW, Li J, Zhao L, Garcia C, Glos M, Penzel T, Han F (2014) Process and outcome for international reliability in sleep scoring. Sleep Breathing. doi:10.1007/s11325-014-0990-0 Zhang X, Dong X, Kantelhardt JW, Li J, Zhao L, Garcia C, Glos M, Penzel T, Han F (2014) Process and outcome for international reliability in sleep scoring. Sleep Breathing. doi:10.​1007/​s11325-014-0990-0
10.
go back to reference Pittman SD, MacDonald MM, Fogel RB, Malhotra A, Todros K, Levy B, Geva AB, White DP (2004) Assessment of automated scoring of polysomnographic recordings in a population with suspected sleep-disordered breathing. Sleep 27(7):1394–1403PubMed Pittman SD, MacDonald MM, Fogel RB, Malhotra A, Todros K, Levy B, Geva AB, White DP (2004) Assessment of automated scoring of polysomnographic recordings in a population with suspected sleep-disordered breathing. Sleep 27(7):1394–1403PubMed
11.
go back to reference Anderer P, Gruber G, Parapatics S, Woertz M, Miazhynskaia T, Klosch G, Saletu B, Zeitlhofer J, Barbanoj MJ, Danker-Hopfe H, Himanen SL, Kemp B, Penzel T, Grozinger M, Kunz D, Rappelsberger P, Schlogl A, Dorffner G (2005) An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24× 7 utilizing the Siesta database. Neuropsychobiology 51(3):115–133CrossRefPubMed Anderer P, Gruber G, Parapatics S, Woertz M, Miazhynskaia T, Klosch G, Saletu B, Zeitlhofer J, Barbanoj MJ, Danker-Hopfe H, Himanen SL, Kemp B, Penzel T, Grozinger M, Kunz D, Rappelsberger P, Schlogl A, Dorffner G (2005) An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24× 7 utilizing the Siesta database. Neuropsychobiology 51(3):115–133CrossRefPubMed
12.
go back to reference Svetnik V, Ma J, Soper KA, Doran S, Renger JJ, Deacon S, Koblan KS (2007) Evaluation of automated and semi-automated scoring of polysomnographic recordings from a clinical trial using zolpidem in the treatment of insomnia. Sleep 30(11):1562–1574PubMedCentralPubMed Svetnik V, Ma J, Soper KA, Doran S, Renger JJ, Deacon S, Koblan KS (2007) Evaluation of automated and semi-automated scoring of polysomnographic recordings from a clinical trial using zolpidem in the treatment of insomnia. Sleep 30(11):1562–1574PubMedCentralPubMed
13.
go back to reference Kuna ST, Benca R, Kushida CA, Walsh J, Younes M, Staley B, Hanlon A, Pack AI, Pien GW, Malhotra A (2013) Agreement in computer-assisted manual scoring of polysomnograms across sleep centers. Sleep 36(4):583–589PubMedCentralPubMed Kuna ST, Benca R, Kushida CA, Walsh J, Younes M, Staley B, Hanlon A, Pack AI, Pien GW, Malhotra A (2013) Agreement in computer-assisted manual scoring of polysomnograms across sleep centers. Sleep 36(4):583–589PubMedCentralPubMed
14.
go back to reference Malhotra A, Younes M, Kuna ST, Benca R, Kushida CA, Walsh J, Hanlon A, Staley B, Pack AI, Pien GW (2013) Performance of an automated polysomnography scoring system versus computer-assisted manual scoring. Sleep 36(4):573–582PubMedCentralPubMed Malhotra A, Younes M, Kuna ST, Benca R, Kushida CA, Walsh J, Hanlon A, Staley B, Pack AI, Pien GW (2013) Performance of an automated polysomnography scoring system versus computer-assisted manual scoring. Sleep 36(4):573–582PubMedCentralPubMed
15.
go back to reference O'Reilly C, Gosselin N, Carrier J, Nielsen T (2014) Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research. J Sleep Res. doi:10.1111/jsr.12169 PubMed O'Reilly C, Gosselin N, Carrier J, Nielsen T (2014) Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research. J Sleep Res. doi:10.​1111/​jsr.​12169 PubMed
16.
go back to reference García-Díaz E, Quintana-Gallego E, Ruiz A, Carmona-Bernal C, Sánchez-Armengol A, Botebol-Benhamou G, Capote F (2007) Respiratory polygraphy with actigraphy in the diagnosis of sleep apnea-hypopnea syndrome. Chest 131:725–732CrossRefPubMed García-Díaz E, Quintana-Gallego E, Ruiz A, Carmona-Bernal C, Sánchez-Armengol A, Botebol-Benhamou G, Capote F (2007) Respiratory polygraphy with actigraphy in the diagnosis of sleep apnea-hypopnea syndrome. Chest 131:725–732CrossRefPubMed
17.
go back to reference Pépin JL, Tamisier R, Borel JC, Baguet JP, Lévy P (2009) A critical review of peripheral arterial tone and pulse transit time as indirect diagnostic methods for detecting sleep disordered breathing and characterizing sleep structure. Curr Opin Pulm Med 15(6):550–558CrossRefPubMed Pépin JL, Tamisier R, Borel JC, Baguet JP, Lévy P (2009) A critical review of peripheral arterial tone and pulse transit time as indirect diagnostic methods for detecting sleep disordered breathing and characterizing sleep structure. Curr Opin Pulm Med 15(6):550–558CrossRefPubMed
18.
go back to reference De Chazal P, Fox N, O'Hare E, Heneghan C, Zaffaroni A, Boyle P, Smith S, O'Connell C, McNicholas WT (2011) Sleep/wake measurement using a non-contact biomotion sensor. J Sleep Res 20:356–366CrossRefPubMed De Chazal P, Fox N, O'Hare E, Heneghan C, Zaffaroni A, Boyle P, Smith S, O'Connell C, McNicholas WT (2011) Sleep/wake measurement using a non-contact biomotion sensor. J Sleep Res 20:356–366CrossRefPubMed
19.
go back to reference Levendowski DJ, Popovic D, Berka C, Westbrook PR (2012) Retrospective cross-validation of automated sleep staging using electroocular recording in patients with and without sleep disordered breathing. Int Arch Med 5:1–9CrossRef Levendowski DJ, Popovic D, Berka C, Westbrook PR (2012) Retrospective cross-validation of automated sleep staging using electroocular recording in patients with and without sleep disordered breathing. Int Arch Med 5:1–9CrossRef
20.
go back to reference Berthomier C, Drouot X, Herman-Stoïca M, Berthomier P, Prado J, Bokar-Thire D, Benoit O, Mattout J, d'Ortho MP (2007) Automatic analysis of single-channel sleep EEG: validation in healthy individuals. Sleep 30:1587–1595PubMedCentralPubMed Berthomier C, Drouot X, Herman-Stoïca M, Berthomier P, Prado J, Bokar-Thire D, Benoit O, Mattout J, d'Ortho MP (2007) Automatic analysis of single-channel sleep EEG: validation in healthy individuals. Sleep 30:1587–1595PubMedCentralPubMed
21.
go back to reference Shambroom JR, Fábregas SE, Johnstone J (2012) Validation of an automated wireless system to monitor sleep in healthy adults. J Sleep Res 21:221–230CrossRefPubMed Shambroom JR, Fábregas SE, Johnstone J (2012) Validation of an automated wireless system to monitor sleep in healthy adults. J Sleep Res 21:221–230CrossRefPubMed
22.
go back to reference Koley B, Dey (2012) An ensemble system for automatic sleep stage classification using single channel EEG signal. Comput Biol Med 42(12):1186–1195CrossRefPubMed Koley B, Dey (2012) An ensemble system for automatic sleep stage classification using single channel EEG signal. Comput Biol Med 42(12):1186–1195CrossRefPubMed
23.
go back to reference Popovic D, Khoo M, Westbrook P (2014) Automatic scoring of sleep stages and cortical arousals using two electrodes on the forehead: validation in healthy adults. J Sleep Res 23(2):211–221PubMedCentralCrossRefPubMed Popovic D, Khoo M, Westbrook P (2014) Automatic scoring of sleep stages and cortical arousals using two electrodes on the forehead: validation in healthy adults. J Sleep Res 23(2):211–221PubMedCentralCrossRefPubMed
Metadata
Title
EOG-based auto-staging: less is more
Authors
Christian Berthomier
Marie Brandewinder
Publication date
01-09-2015
Publisher
Springer Berlin Heidelberg
Published in
Sleep and Breathing / Issue 3/2015
Print ISSN: 1520-9512
Electronic ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-015-1129-7

Other articles of this Issue 3/2015

Sleep and Breathing 3/2015 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine