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 *

165 related articles for article (PubMed ID: 27890144)

  • 1. Classification of a Driver's cognitive workload levels using artificial neural network on ECG signals.
    Tjolleng A; Jung K; Hong W; Lee W; Lee B; You H; Son J; Park S
    Appl Ergon; 2017 Mar; 59(Pt A):326-332. PubMed ID: 27890144
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Classification Method for a Driver's Cognitive Stress Level by Transferring Interbeat Intervals of the ECG Signal to Pictures.
    Huang J; Luo X; Peng X
    Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32121440
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison between artificial neural network and multilinear regression models in an evaluation of cognitive workload in a flight simulator.
    Hannula M; Huttunen K; Koskelo J; Laitinen T; Leino T
    Comput Biol Med; 2008; 38(11-12):1163-70. PubMed ID: 19010465
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning.
    Ding Y; Cao Y; Duffy VG; Wang Y; Zhang X
    Ergonomics; 2020 Jul; 63(7):896-908. PubMed ID: 32330080
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Impacts of Temporal Variation and Individual Differences in Driver Cognitive Workload on ECG-Based Detection.
    Yang S; Kuo J; Lenné MG; Fitzharris M; Horberry T; Blay K; Wood D; Mulvihill C; Truche C
    Hum Factors; 2021 Aug; 63(5):772-787. PubMed ID: 33538624
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Electrocardiographic features for the measurement of drivers' mental workload.
    Heine T; Lenis G; Reichensperger P; Beran T; Doessel O; Deml B
    Appl Ergon; 2017 May; 61():31-43. PubMed ID: 28237018
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Heart rate variability (HRV) and muscular system activity (EMG) in cases of crash threat during simulated driving of a passenger car.
    Zużewicz K; Roman-Liu D; Konarska M; Bartuzi P; Matusiak K; Korczak D; Lozia Z; Guzek M
    Int J Occup Med Environ Health; 2013 Oct; 26(5):710-23. PubMed ID: 24317871
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of platooning on signal-detection performance, workload, and stress: A driving simulator study.
    Heikoop DD; de Winter JCF; van Arem B; Stanton NA
    Appl Ergon; 2017 Apr; 60():116-127. PubMed ID: 28166869
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Adaptive training using an artificial neural network and EEG metrics for within- and cross-task workload classification.
    Baldwin CL; Penaranda BN
    Neuroimage; 2012 Jan; 59(1):48-56. PubMed ID: 21835243
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting Driver's mental workload using physiological signals: A functional data analysis approach.
    Lee C; Shin M; Eniyandunmo D; Anwar A; Kim E; Kim K; Yoo JK; Lee C
    Appl Ergon; 2024 Jul; 118():104274. PubMed ID: 38521001
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effects of social interactions with in-vehicle agents on a driver's anger level, driving performance, situation awareness, and perceived workload.
    Jeon M; Walker BN; Gable TM
    Appl Ergon; 2015 Sep; 50():185-99. PubMed ID: 25959334
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Driver's mental workload prediction model based on physiological indices.
    Yan S; Tran CC; Wei Y; Habiyaremye JL
    Int J Occup Saf Ergon; 2019 Sep; 25(3):476-484. PubMed ID: 28820660
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Influence of task combination on EEG spectrum modulation for driver workload estimation.
    Lei S; Roetting M
    Hum Factors; 2011 Apr; 53(2):168-79. PubMed ID: 21702334
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sensitivity of physiological measures for detecting systematic variations in cognitive demand from a working memory task: an on-road study across three age groups.
    Mehler B; Reimer B; Coughlin JF
    Hum Factors; 2012 Jun; 54(3):396-412. PubMed ID: 22768642
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of heart rate variability analysis to electrocardiogram recorded outside the driver's awareness from an automobile steering wheel.
    Osaka M; Murata H; Fuwamoto Y; Nanba S; Sakai K; Katoh T
    Circ J; 2008 Nov; 72(11):1867-73. PubMed ID: 18838828
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The comparison of different feed forward neural network architectures for ECG signal diagnosis.
    Hosseini HG; Luo D; Reynolds KJ
    Med Eng Phys; 2006 May; 28(4):372-8. PubMed ID: 16118058
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Field tests and machine learning approaches for refining algorithms and correlations of driver's model parameters.
    Tango F; Minin L; Tesauri F; Montanari R
    Appl Ergon; 2010 Mar; 41(2):211-24. PubMed ID: 19286165
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Measuring the effects of visual demand on lateral deviation: a comparison among driver's performance indicators.
    Minin L; Benedetto S; Pedrotti M; Re A; Tesauri F
    Appl Ergon; 2012 May; 43(3):486-92. PubMed ID: 21917238
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessing Cognitive Distraction in the Automobile.
    Strayer DL; Turrill J; Cooper JM; Coleman JR; Medeiros-Ward N; Biondi F
    Hum Factors; 2015 Dec; 57(8):1300-24. PubMed ID: 26534847
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving pilot mental workload evaluation with combined measures.
    Wanyan X; Zhuang D; Zhang H
    Biomed Mater Eng; 2014; 24(6):2283-90. PubMed ID: 25226928
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.