BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 36155280)

  • 1. Detecting driver fatigue using heart rate variability: A systematic review.
    Lu K; Sjörs Dahlman A; Karlsson J; Candefjord S
    Accid Anal Prev; 2022 Dec; 178():106830. PubMed ID: 36155280
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deriving heart rate variability indices from cardiac monitoring-An indicator of driver sleepiness.
    Buendia R; Forcolin F; Karlsson J; Arne Sjöqvist B; Anund A; Candefjord S
    Traffic Inj Prev; 2019; 20(3):249-254. PubMed ID: 30978124
    [No Abstract]   [Full Text] [Related]  

  • 3. Accurate and early detection of sleepiness, fatigue and stress levels in drivers through Heart Rate Variability parameters: a systematic review.
    Burlacu A; Brinza C; Brezulianu A; Covic A
    Rev Cardiovasc Med; 2021 Sep; 22(3):845-852. PubMed ID: 34565082
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Heart Rate Variability for Driver Sleepiness Classification in Real Road Driving Conditions
    Persson A; Jonasson H; Fredriksson I; Wiklund U; Ahlstrom C
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6537-6540. PubMed ID: 31947339
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review.
    Watling CN; Mahmudul Hasan M; Larue GS
    Accid Anal Prev; 2021 Feb; 150():105900. PubMed ID: 33285449
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cardiac indices of driver fatigue across in-lab and on-road studies.
    Musicant O; Richmond-Hacham B; Botzer A
    Appl Ergon; 2024 May; 117():104202. PubMed ID: 38215606
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In-vehicle fragrance administration as a countermeasure for driver fatigue.
    Sjörs Dahlman A; Ljung Aust M; Mama Y; Hasson D; Anund A
    Accid Anal Prev; 2024 Feb; 195():107429. PubMed ID: 38128240
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Fatigue-Associated Aberrant Driving Behaviors Using a Dynamic Weighted Moving Average Model With a Long Short-Term Memory Network Based on Heart Rate Variability.
    Tsai CY; Cheong HI; Houghton R; Hsu WH; Lee KY; Kang JH; Kuan YC; Lee HC; Wu CJ; Li LJ; Lin YT; Lin SY; Manole I; Majumdar A; Liu WT
    Hum Factors; 2024 Jun; 66(6):1681-1702. PubMed ID: 37387305
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning model for aberrant driving behaviour prediction using heart rate variability: a pilot study involving highway bus drivers.
    Tsai CY; Majumdar A; Wang Y; Hsu WH; Kang JH; Lee KY; Tseng CH; Kuan YC; Lee HC; Wu CJ; Houghton R; Cheong HI; Manole I; Lin YT; Li LJ; Liu WT
    Int J Occup Saf Ergon; 2023 Dec; 29(4):1429-1439. PubMed ID: 36281493
    [No Abstract]   [Full Text] [Related]  

  • 10. Comparison of outlier heartbeat identification and spectral transformation strategies for deriving heart rate variability indices for drivers at different stages of sleepiness.
    Forcolin F; Buendia R; Candefjord S; Karlsson J; Sjöqvist BA; Anund A
    Traffic Inj Prev; 2018 Feb; 19(sup1):S112-S119. PubMed ID: 29584487
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys.
    Salvati L; d'Amore M; Fiorentino A; Pellegrino A; Sena P; Villecco F
    Entropy (Basel); 2021 Jan; 23(2):. PubMed ID: 33494447
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Estimating Driving Fatigue at a Plateau Area with Frequent and Rapid Altitude Change.
    Wang F; Chen H; Zhu CH; Nan SR; Li Y
    Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31731740
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An evaluation and comparison of commercial driver sleepiness detection technology: a rapid review.
    Cori JM; Manousakis JE; Koppel S; Ferguson SA; Sargent C; Howard ME; Anderson C
    Physiol Meas; 2021 Jul; 42(7):. PubMed ID: 34338222
    [No Abstract]   [Full Text] [Related]  

  • 14. Physiological signal analysis for fatigue level of experienced and inexperienced drivers.
    Li R; Su W; Lu Z
    Traffic Inj Prev; 2017 Feb; 18(2):139-144. PubMed ID: 27589585
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier.
    Li G; Chung WY
    Sensors (Basel); 2013 Dec; 13(12):16494-511. PubMed ID: 24316564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unusual Driver Behavior Detection in Videos Using Deep Learning Models.
    Abosaq HA; Ramzan M; Althobiani F; Abid A; Aamir KM; Abdushkour H; Irfan M; Gommosani ME; Ghonaim SM; Shamji VR; Rahman S
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616911
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism.
    Wang L; Song F; Zhou TH; Hao J; Ryu KH
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896480
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Driver fatigue detection based on eye state.
    Lin L; Huang C; Ni X; Wang J; Zhang H; Li X; Qian Z
    Technol Health Care; 2015; 23 Suppl 2():S453-63. PubMed ID: 26410512
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue.
    Shi L; Zheng L; Jin D; Lin Z; Zhang Q; Zhang M
    Front Public Health; 2022; 10():828428. PubMed ID: 35265578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Countermeasures to driver fatigue: a review of public awareness campaigns and legal approaches.
    Fletcher A; McCulloch K; Baulk SD; Dawson D
    Aust N Z J Public Health; 2005 Oct; 29(5):471-6. PubMed ID: 16255451
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.