192 related articles for article (PubMed ID: 38090797)
1. Comparison of Polysomnography, Single-Channel Electroencephalogram, Fitbit, and Sleep Logs in Patients With Psychiatric Disorders: Cross-Sectional Study.
Kawai K; Iwamoto K; Miyata S; Okada I; Fujishiro H; Noda A; Nakagome K; Ozaki N; Ikeda M
J Med Internet Res; 2023 Dec; 25():e51336. PubMed ID: 38090797
[TBL] [Abstract][Full Text] [Related]
2. Validation of a Consumer Sleep Wearable Device With Actigraphy and Polysomnography in Adolescents Across Sleep Opportunity Manipulations.
Lee XK; Chee NIYN; Ong JL; Teo TB; van Rijn E; Lo JC; Chee MWL
J Clin Sleep Med; 2019 Sep; 15(9):1337-1346. PubMed ID: 31538605
[TBL] [Abstract][Full Text] [Related]
3. Utility of the Fitbit Flex to evaluate sleep in major depressive disorder: A comparison against polysomnography and wrist-worn actigraphy.
Cook JD; Prairie ML; Plante DT
J Affect Disord; 2017 Aug; 217():299-305. PubMed ID: 28448949
[TBL] [Abstract][Full Text] [Related]
4. A validation study of Fitbit Charge 2™ compared with polysomnography in adults.
de Zambotti M; Goldstone A; Claudatos S; Colrain IM; Baker FC
Chronobiol Int; 2018 Apr; 35(4):465-476. PubMed ID: 29235907
[TBL] [Abstract][Full Text] [Related]
5. Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study.
Stucky B; Clark I; Azza Y; Karlen W; Achermann P; Kleim B; Landolt HP
J Med Internet Res; 2021 Oct; 23(10):e26476. PubMed ID: 34609317
[TBL] [Abstract][Full Text] [Related]
6. Polysomnography in patients with obstructive sleep apnea: an evidence-based analysis.
Medical Advisory Secretariat
Ont Health Technol Assess Ser; 2006; 6(13):1-38. PubMed ID: 23074483
[TBL] [Abstract][Full Text] [Related]
7. Validation of Fitbit Charge 2 and Fitbit Alta HR Against Polysomnography for Assessing Sleep in Adults With Obstructive Sleep Apnea.
Moreno-Pino F; Porras-Segovia A; López-Esteban P; Artés A; Baca-García E
J Clin Sleep Med; 2019 Nov; 15(11):1645-1653. PubMed ID: 31739855
[TBL] [Abstract][Full Text] [Related]
8. Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review.
Schyvens AM; Van Oost NC; Aerts JM; Masci F; Peters B; Neven A; Dirix H; Wets G; Ross V; Verbraecken J
JMIR Mhealth Uhealth; 2024 Mar; 12():e52192. PubMed ID: 38557808
[TBL] [Abstract][Full Text] [Related]
9. Performance of an ambulatory electroencephalogram sleep monitor in patients with psychiatric disorders.
Miyata S; Iwamoto K; Banno M; Eguchi J; Kaneko S; Noda A; Ozaki N
J Sleep Res; 2021 Aug; 30(4):e13273. PubMed ID: 33372341
[TBL] [Abstract][Full Text] [Related]
10. Movement toward a novel activity monitoring device.
Montgomery-Downs HE; Insana SP; Bond JA
Sleep Breath; 2012 Sep; 16(3):913-7. PubMed ID: 21971963
[TBL] [Abstract][Full Text] [Related]
11. Validity of a commercial wearable sleep tracker in adult insomnia disorder patients and good sleepers.
Kang SG; Kang JM; Ko KP; Park SC; Mariani S; Weng J
J Psychosom Res; 2017 Jun; 97():38-44. PubMed ID: 28606497
[TBL] [Abstract][Full Text] [Related]
12. Comparison of a Commercial Accelerometer with Polysomnography and Actigraphy in Children and Adolescents.
Meltzer LJ; Hiruma LS; Avis K; Montgomery-Downs H; Valentin J
Sleep; 2015 Aug; 38(8):1323-30. PubMed ID: 26118555
[TBL] [Abstract][Full Text] [Related]
13. Comparison of the Fitbit® charge and polysomnography for measuring sleep quality in children with sleep disordered breathing.
Hakim M; Miller R; Hakim M; Tumin D; Tobias JD; Jatana KR; Raman VT
Minerva Pediatr (Torino); 2022 Jun; 74(3):259-263. PubMed ID: 30419745
[TBL] [Abstract][Full Text] [Related]
14. Performance assessment of new-generation Fitbit technology in deriving sleep parameters and stages.
Haghayegh S; Khoshnevis S; Smolensky MH; Diller KR; Castriotta RJ
Chronobiol Int; 2020 Jan; 37(1):47-59. PubMed ID: 31718308
[TBL] [Abstract][Full Text] [Related]
15. Comparison of multichannel and single-channel wrist-based devices with polysomnography to measure sleep in children and adolescents.
Burkart S; Beets MW; Armstrong B; Hunt ET; Dugger R; von Klinggraeff L; Jones A; Brown DE; Weaver RG
J Clin Sleep Med; 2021 Apr; 17(4):645-652. PubMed ID: 33174529
[TBL] [Abstract][Full Text] [Related]
16. Differences Between Sleep Logs and Actigraphy Combined With Electroencephalography in Adults With Sleep Disturbances.
Chang ET; Huang CY; Lai HL
Biol Res Nurs; 2018 Jan; 20(1):77-83. PubMed ID: 28868902
[TBL] [Abstract][Full Text] [Related]
17. Performance of Fitbit Charge 3 against polysomnography in measuring sleep in adolescent boys and girls.
Menghini L; Yuksel D; Goldstone A; Baker FC; de Zambotti M
Chronobiol Int; 2021 Jul; 38(7):1010-1022. PubMed ID: 33792456
[TBL] [Abstract][Full Text] [Related]
18. Validation of Fitbit Charge 4 for assessing sleep in Chinese patients with chronic insomnia: A comparison against polysomnography and actigraphy.
Dong X; Yang S; Guo Y; Lv P; Wang M; Li Y
PLoS One; 2022; 17(10):e0275287. PubMed ID: 36256631
[TBL] [Abstract][Full Text] [Related]
19. Exploratory Validation of Sleep-Tracking Devices in Patients with Psychiatric Disorders.
Ogasawara M; Takeshima M; Kosaka S; Imanishi A; Itoh Y; Fujiwara D; Yoshizawa K; Ozaki N; Nakagome K; Mishima K
Nat Sci Sleep; 2023; 15():301-312. PubMed ID: 37123093
[TBL] [Abstract][Full Text] [Related]
20. Performance evaluation of Fitbit Charge 3 and actigraphy vs. polysomnography: Sensitivity, specificity, and reliability across participants and nights.
Eylon G; Tikotzky L; Dinstein I
Sleep Health; 2023 Aug; 9(4):407-416. PubMed ID: 37270397
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
