These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 28139776)

  • 1. Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography.
    Bastianini S; Alvente S; Berteotti C; Lo Martire V; Silvani A; Swoap SJ; Valli A; Zoccoli G; Cohen G
    Sci Rep; 2017 Jan; 7():41698. PubMed ID: 28139776
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Novel whole body plethysmography system for the continuous characterization of sleep and breathing in a mouse.
    Hernandez AB; Kirkness JP; Smith PL; Schneider H; Polotsky M; Richardson RA; Hernandez WC; Schwartz AR
    J Appl Physiol (1985); 2012 Feb; 112(4):671-80. PubMed ID: 22134700
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Noninvasive three-state sleep-wake staging in mice using electric field sensors.
    Kloefkorn H; Aiani LM; Lakhani A; Nagesh S; Moss A; Goolsby W; Rehg JM; Pedersen NP; Hochman S
    J Neurosci Methods; 2020 Oct; 344():108834. PubMed ID: 32619585
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The reliability and functional validity of visual and semiautomatic sleep/wake scoring in the Møll-Wistar rat.
    Neckelmann D; Olsen OE; Fagerland S; Ursin R
    Sleep; 1994 Mar; 17(2):120-31. PubMed ID: 8036366
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Noninvasive dissection of mouse sleep using a piezoelectric motion sensor.
    Yaghouby F; Donohue KD; O'Hara BF; Sunderam S
    J Neurosci Methods; 2016 Feb; 259():90-100. PubMed ID: 26582569
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High-throughput visual assessment of sleep stages in mice using machine learning.
    Geuther B; Chen M; Galante RJ; Han O; Lian J; George J; Pack AI; Kumar V
    Sleep; 2022 Feb; 45(2):. PubMed ID: 34718812
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Respiratory chemosensitivity during wake and sleep in harbour seal pups (Phoca vitulina richardsii).
    Skinner LA; Milsom WK
    Physiol Biochem Zool; 2004; 77(5):847-63. PubMed ID: 15547802
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An automated sleep staging tool based on simple statistical features of mice electroencephalography (EEG) and electromyography (EMG) data.
    Yamada RG; Matsuzawa K; Ode KL; Ueda HR
    Eur J Neurosci; 2024 Oct; 60(7):5467-5486. PubMed ID: 39072800
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Lesion of the pedunculopontine tegmental nucleus in rat augments cortical activation and disturbs sleep/wake state transitions structure.
    Petrovic J; Ciric J; Lazic K; Kalauzi A; Saponjic J
    Exp Neurol; 2013 Sep; 247():562-71. PubMed ID: 23481548
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unsupervised Estimation of Mouse Sleep Scores and Dynamics Using a Graphical Model of Electrophysiological Measurements.
    Yaghouby F; O'Hara BF; Sunderam S
    Int J Neural Syst; 2016 Jun; 26(4):1650017. PubMed ID: 27121993
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of a piezoelectric system as an alternative to electroencephalogram/ electromyogram recordings in mouse sleep studies.
    Mang GM; Nicod J; Emmenegger Y; Donohue KD; O'Hara BF; Franken P
    Sleep; 2014 Aug; 37(8):1383-92. PubMed ID: 25083019
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated analysis of sleep-wake state in rats.
    Stephenson R; Caron AM; Cassel DB; Kostela JC
    J Neurosci Methods; 2009 Nov; 184(2):263-74. PubMed ID: 19703489
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A visual aid for computer-based analysis of sleep-wake state in rats.
    Mileva-Seitz VR; Louis RP; Stephenson R
    J Neurosci Methods; 2005 Oct; 148(1):43-8. PubMed ID: 15885800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An EEG averaging technique for automated sleep-wake stage identification in the rat.
    van Luijtelaar EL; Coenen AM
    Physiol Behav; 1984 Nov; 33(5):837-41. PubMed ID: 6522504
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel machine learning system for identifying sleep-wake states in mice.
    Fraigne JJ; Wang J; Lee H; Luke R; Pintwala SK; Peever JH
    Sleep; 2023 Jun; 46(6):. PubMed ID: 37021715
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Longitudinal analysis of developmental changes in electroencephalography patterns and sleep-wake states of the neonatal mouse.
    Rensing N; Moy B; Friedman JL; Galindo R; Wong M
    PLoS One; 2018; 13(11):e0207031. PubMed ID: 30399187
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of the sleep-wake states in rats using the high-frequency activity of the electroencephalogram.
    Silva-Pérez M; Sánchez-López A; Pompa-Del-Toro N; Escudero M
    J Sleep Res; 2021 Aug; 30(4):e13233. PubMed ID: 33200511
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG gamma frequency and sleep-wake scoring in mice: comparing two types of supervised classifiers.
    Brankack J; Kukushka VI; Vyssotski AL; Draguhn A
    Brain Res; 2010 Mar; 1322():59-71. PubMed ID: 20123089
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.