220 related articles for article (PubMed ID: 27448472)
1. Assessing sleep architecture and continuity measures through the analysis of heart rate and wrist movement recordings in healthy subjects: comparison with results based on polysomnography.
Muzet A; Werner S; Fuchs G; Roth T; Saoud JB; Viola AU; Schaffhauser JY; Luthringer R
Sleep Med; 2016 May; 21():47-56. PubMed ID: 27448472
[TBL] [Abstract][Full Text] [Related]
2. Validation of Photoplethysmography-Based Sleep Staging Compared With Polysomnography in Healthy Middle-Aged Adults.
Fonseca P; Weysen T; Goelema MS; Møst EIS; Radha M; Lunsingh Scheurleer C; van den Heuvel L; Aarts RM
Sleep; 2017 Jul; 40(7):. PubMed ID: 28838130
[TBL] [Abstract][Full Text] [Related]
3. Performance evaluation of the open-source Yet Another Spindle Algorithm sleep staging algorithm against gold standard manual evaluation of polysomnographic records in adolescence.
Benedetti D; Frati E; Kiss O; Yuksel D; Faraguna U; Hasler BP; Franzen PL; Clark DB; Baker FC; de Zambotti M
Sleep Health; 2023 Dec; 9(6):910-924. PubMed ID: 37709595
[TBL] [Abstract][Full Text] [Related]
4. Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.
Aktaruzzaman M; Rivolta MW; Karmacharya R; Scarabottolo N; Pugnetti L; Garegnani M; Bovi G; Scalera G; Ferrarin M; Sassi R
Comput Biol Med; 2017 Oct; 89():212-221. PubMed ID: 28841459
[TBL] [Abstract][Full Text] [Related]
5. Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.
Tal A; Shinar Z; Shaki D; Codish S; Goldbart A
J Clin Sleep Med; 2017 Mar; 13(3):517-522. PubMed ID: 27998378
[TBL] [Abstract][Full Text] [Related]
6. Development of a human-computer collaborative sleep scoring system for polysomnography recordings.
Liang SF; Shih YH; Chen PY; Kuo CE
PLoS One; 2019; 14(7):e0218948. PubMed ID: 31291270
[TBL] [Abstract][Full Text] [Related]
7. [Actigraphy: methodological limits for evaluation of sleep stages and sleep structure of healthy probands].
Conradt R; Brandenburg U; Ploch T; Peter JH
Pneumologie; 1997 Aug; 51 Suppl 3():721-4. PubMed ID: 9340625
[TBL] [Abstract][Full Text] [Related]
8. Performance of Somno-Art Software compared to polysomnography interscorer variability: A multi-center study.
Thiesse L; Staner L; Fuchs G; Kirscher D; Dehouck V; Roth T; Schaffhauser JY; Saoud JB; Viola AU
Sleep Med; 2022 Aug; 96():14-19. PubMed ID: 35576829
[TBL] [Abstract][Full Text] [Related]
9. Practical aspects of actigraphy and approaches in clinical and research domains.
Walia HK; Mehra R
Handb Clin Neurol; 2019; 160():371-379. PubMed ID: 31277861
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches.
Ma YJX; Zschocke J; Glos M; Kluge M; Penzel T; Kantelhardt JW; Bartsch RP
Comput Biol Med; 2023 Sep; 163():107193. PubMed ID: 37421734
[TBL] [Abstract][Full Text] [Related]
14. Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.
Roberts DM; Schade MM; Mathew GM; Gartenberg D; Buxton OM
Sleep; 2020 Jul; 43(7):. PubMed ID: 32215550
[TBL] [Abstract][Full Text] [Related]
15. The validity of the PAM-RL device for evaluating periodic limb movements in sleep and an investigation on night-to-night variability of periodic limb movements during sleep in patients with restless legs syndrome or periodic limb movement disorder using this system.
Kobayashi M; Namba K; Ito E; Nishida S; Nakamura M; Ueki Y; Furudate N; Kagimura T; Usui A; Inoue Y
Sleep Med; 2014 Jan; 15(1):138-43. PubMed ID: 24269130
[TBL] [Abstract][Full Text] [Related]
16. The Visual Scoring of Sleep in Infants 0 to 2 Months of Age.
Grigg-Damberger MM
J Clin Sleep Med; 2016 Mar; 12(3):429-45. PubMed ID: 26951412
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Comparison of 7 versus 14 days wrist actigraphy monitoring in a sleep disorders clinic population.
Briscoe S; Hardy E; Pengo MF; Kosky C; Williams AJ; Hart N; Steier J
Chronobiol Int; 2014 Apr; 31(3):356-62. PubMed ID: 24304408
[TBL] [Abstract][Full Text] [Related]
19. 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.
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
Neuropsychobiology; 2005; 51(3):115-33. PubMed ID: 15838184
[TBL] [Abstract][Full Text] [Related]
20. Comparison of actigraphy and polysomnography to assess effects of zolpidem in a clinical research unit.
Peterson BT; Chiao P; Pickering E; Freeman J; Zammit GK; Ding Y; Badura LL
Sleep Med; 2012 Apr; 13(4):419-24. PubMed ID: 22317945
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]