308 related articles for article (PubMed ID: 30810623)
1. Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep.
Largo R; Lopes MC; Spruyt K; Guilleminault C; Wang YP; Rosa AC
Braz J Med Biol Res; 2019 Feb; 52(3):e8059. PubMed ID: 30810623
[TBL] [Abstract][Full Text] [Related]
2. Visual and automatic cyclic alternating pattern (CAP) scoring: inter-rater reliability study.
Rosa A; Alves GR; Brito M; Lopes MC; Tufik S
Arq Neuropsiquiatr; 2006 Sep; 64(3A):578-81. PubMed ID: 17119795
[TBL] [Abstract][Full Text] [Related]
3. Inter-rater reliability of sleep cyclic alternating pattern (CAP) scoring and validation of a new computer-assisted CAP scoring method.
Ferri R; Bruni O; Miano S; Smerieri A; Spruyt K; Terzano MG
Clin Neurophysiol; 2005 Mar; 116(3):696-707. PubMed ID: 15721084
[TBL] [Abstract][Full Text] [Related]
4. The 2007 AASM recommendations for EEG electrode placement in polysomnography: impact on sleep and cortical arousal scoring.
Ruehland WR; O'Donoghue FJ; Pierce RJ; Thornton AT; Singh P; Copland JM; Stevens B; Rochford PD
Sleep; 2011 Jan; 34(1):73-81. PubMed ID: 21203376
[TBL] [Abstract][Full Text] [Related]
5. Automatic scoring of sleep stages and cortical arousals using two electrodes on the forehead: validation in healthy adults.
Popovic D; Khoo M; Westbrook P
J Sleep Res; 2014 Apr; 23(2):211-21. PubMed ID: 24313630
[TBL] [Abstract][Full Text] [Related]
6. An automatic method for scoring leg movements in polygraphic sleep recordings and its validity in comparison to visual scoring.
Wetter TC; Dirlich G; Streit J; Trenkwalder C; Schuld A; Pollmächer T
Sleep; 2004 Mar; 27(2):324-8. PubMed ID: 15124730
[TBL] [Abstract][Full Text] [Related]
7. EEG segmentation for improving automatic CAP detection.
Mariani S; Grassi A; Mendez MO; Milioli G; Parrino L; Terzano MG; Bianchi AM
Clin Neurophysiol; 2013 Sep; 124(9):1815-23. PubMed ID: 23643311
[TBL] [Abstract][Full Text] [Related]
8. Automatic detection of a phases of the cyclic alternating pattern during sleep.
Mariani S; Bianchi AM; Manfredini E; Rosso V; Mendez MO; Parrino L; Matteucci M; Grassi A; Cerutti S; Terzano MG
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5085-8. PubMed ID: 21096032
[TBL] [Abstract][Full Text] [Related]
9. Sleep cyclic alternating pattern in normal preschool-aged children.
Bruni O; Ferri R; Miano S; Verrillo E; Vittori E; Farina B; Smerieri A; Terzano MG
Sleep; 2005 Feb; 28(2):220-30. PubMed ID: 16171247
[TBL] [Abstract][Full Text] [Related]
10. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
[TBL] [Abstract][Full Text] [Related]
11. Staging Sleep in Polysomnograms: Analysis of Inter-Scorer Variability.
Younes M; Raneri J; Hanly P
J Clin Sleep Med; 2016 Jun; 12(6):885-94. PubMed ID: 27070243
[TBL] [Abstract][Full Text] [Related]
12. All-night EEG power spectral analysis of the cyclic alternating pattern components in young adult subjects.
Ferri R; Bruni O; Miano S; Plazzi G; Terzano MG
Clin Neurophysiol; 2005 Oct; 116(10):2429-40. PubMed ID: 16112901
[TBL] [Abstract][Full Text] [Related]
13. Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats.
Gross BA; Walsh CM; Turakhia AA; Booth V; Mashour GA; Poe GR
J Neurosci Methods; 2009 Oct; 184(1):10-8. PubMed ID: 19615408
[TBL] [Abstract][Full Text] [Related]
14. The AASM recommended and acceptable EEG montages are comparable for the staging of sleep and scoring of EEG arousals.
Duce B; Rego C; Milosavljevic J; Hukins C
J Clin Sleep Med; 2014 Jul; 10(7):803-9. PubMed ID: 25024660
[TBL] [Abstract][Full Text] [Related]
15. Large-Scale Automated Sleep Staging.
Sun H; Jia J; Goparaju B; Huang GB; Sourina O; Bianchi MT; Westover MB
Sleep; 2017 Oct; 40(10):. PubMed ID: 29029305
[TBL] [Abstract][Full Text] [Related]
16. Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals.
Sharma M; Tiwari J; Acharya UR
Int J Environ Res Public Health; 2021 Mar; 18(6):. PubMed ID: 33802799
[TBL] [Abstract][Full Text] [Related]
17. Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times.
Alvarez-Estevez D; Rijsman RM
PLoS One; 2022; 17(9):e0275530. PubMed ID: 36174095
[TBL] [Abstract][Full Text] [Related]
18. Minimizing Interrater Variability in Staging Sleep by Use of Computer-Derived Features.
Younes M; Hanly PJ
J Clin Sleep Med; 2016 Oct; 12(10):1347-1356. PubMed ID: 27448418
[TBL] [Abstract][Full Text] [Related]
19. Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.
Mariani S; Manfredini E; Rosso V; Grassi A; Mendez MO; Alba A; Matteucci M; Parrino L; Terzano MG; Cerutti S; Bianchi AM
Med Biol Eng Comput; 2012 Apr; 50(4):359-72. PubMed ID: 22430617
[TBL] [Abstract][Full Text] [Related]
20. Inter-expert and intra-expert reliability in sleep spindle scoring.
Wendt SL; Welinder P; Sorensen HB; Peppard PE; Jennum P; Perona P; Mignot E; Warby SC
Clin Neurophysiol; 2015 Aug; 126(8):1548-56. PubMed ID: 25434753
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]