BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 23719977)

  • 1. Drowsiness detection during different times of day using multiple features.
    Sahayadhas A; Sundaraj K; Murugappan M
    Australas Phys Eng Sci Med; 2013 Jun; 36(2):243-50. PubMed ID: 23719977
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting driver drowsiness based on sensors: a review.
    Sahayadhas A; Sundaraj K; Murugappan M
    Sensors (Basel); 2012 Dec; 12(12):16937-53. PubMed ID: 23223151
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
    Awais M; Badruddin N; Drieberg M
    Sensors (Basel); 2017 Aug; 17(9):. PubMed ID: 28858220
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Drowsiness detection using heart rate variability.
    Vicente J; Laguna P; Bartra A; Bailón R
    Med Biol Eng Comput; 2016 Jun; 54(6):927-37. PubMed ID: 26780463
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG.
    Fujiwara K; Abe E; Kamata K; Nakayama C; Suzuki Y; Yamakawa T; Hiraoka T; Kano M; Sumi Y; Masuda F; Matsuo M; Kadotani H
    IEEE Trans Biomed Eng; 2019 Jun; 66(6):1769-1778. PubMed ID: 30403616
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap.
    Qian D; Wang B; Qing X; Zhang T; Zhang Y; Wang X; Nakamura M
    IEEE Trans Biomed Eng; 2017 Apr; 64(4):743-754. PubMed ID: 27254855
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection.
    Qian D; Wang B; Qing X; Zhang T; Zhang Y; Wang X; Nakamura M
    IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1297-1308. PubMed ID: 27775525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks.
    Chen J; Wang H; Hua C
    Int J Psychophysiol; 2018 Nov; 133():120-130. PubMed ID: 30081067
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An automatic detector of drowsiness based on spectral analysis and wavelet decomposition of EEG records.
    Garces Correa A; Laciar Leber E
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1405-8. PubMed ID: 21096343
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The detection of drowsiness using a driver monitoring system.
    Schwarz C; Gaspar J; Miller T; Yousefian R
    Traffic Inj Prev; 2019; 20(sup1):S157-S161. PubMed ID: 31381433
    [No Abstract]   [Full Text] [Related]  

  • 11. Efficient driver drowsiness detection at moderate levels of drowsiness.
    Forsman PM; Vila BJ; Short RA; Mott CG; Van Dongen HP
    Accid Anal Prev; 2013 Jan; 50():341-50. PubMed ID: 22647383
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sleep versus wake classification from heart rate variability using computational intelligence: consideration of rejection in classification models.
    Lewicke A; Sazonov E; Corwin MJ; Neuman M; Schuckers S;
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):108-18. PubMed ID: 18232352
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An algorithm for automatic detection of drowsiness for use in wearable EEG systems.
    Patrick KC; Imtiaz SA; Bowyer S; Rodriguez-Villegas E
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3523-3526. PubMed ID: 28269058
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Driving drowsy also worsens driver distraction.
    Anderson C; Horne JA
    Sleep Med; 2013 May; 14(5):466-8. PubMed ID: 23523431
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor.
    He J; Choi W; Yang Y; Lu J; Wu X; Peng K
    Appl Ergon; 2017 Nov; 65():473-480. PubMed ID: 28420482
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An innovative nonintrusive driver assistance system for vital signal monitoring.
    Sun Y; Yu XB
    IEEE J Biomed Health Inform; 2014 Nov; 18(6):1932-9. PubMed ID: 25375690
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Driver drowsiness detection using the in-ear EEG.
    Taeho Hwang ; Miyoung Kim ; Seunghyeok Hong ; Kwang Suk Park
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4646-4649. PubMed ID: 28269310
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic detection of drowsiness in EEG records based on multimodal analysis.
    Garcés Correa A; Orosco L; Laciar E
    Med Eng Phys; 2014 Feb; 36(2):244-9. PubMed ID: 23972332
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices.
    Maglione A; Borghini G; Aricò P; Borgia F; Graziani I; Colosimo A; Kong W; Vecchiato G; Babiloni F
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6238-41. PubMed ID: 25571422
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm.
    Khushaba RN; Kodagoda S; Lal S; Dissanayake G
    IEEE Trans Biomed Eng; 2011 Jan; 58(1):121-31. PubMed ID: 20858575
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.