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 *

182 related articles for article (PubMed ID: 31946891)

  • 1. Fall Detection for the Elderly Based on 3-Axis Accelerometer and Depth Sensor Fusion with Random Forest Classifier.
    Kim K; Yun G; Park SK; Kim DH
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4611-4614. PubMed ID: 31946891
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.
    Palmerini L; Klenk J; Becker C; Chiari L
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33202738
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fall-detection solution for mobile platforms using accelerometer and gyroscope data.
    De Cillisy F; De Simioy F; Guidoy F; Incalzi RA; Setolay R
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3727-30. PubMed ID: 26737103
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combining novelty detectors to improve accelerometer-based fall detection.
    Medrano C; Igual R; García-Magariño I; Plaza I; Azuara G
    Med Biol Eng Comput; 2017 Oct; 55(10):1849-1858. PubMed ID: 28251444
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning.
    Althobaiti T; Katsigiannis S; Ramzan N
    Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32640526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature selection for elderly faller classification based on wearable sensors.
    Howcroft J; Kofman J; Lemaire ED
    J Neuroeng Rehabil; 2017 May; 14(1):47. PubMed ID: 28558724
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection.
    Putra IPES; Brusey J; Gaura E; Vesilo R
    Sensors (Basel); 2017 Dec; 18(1):. PubMed ID: 29271895
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor.
    Ejupi A; Galang C; Aziz O; Park EJ; Robinovitch S
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2150-2153. PubMed ID: 29060322
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accelerometer and Camera-Based Strategy for Improved Human Fall Detection.
    Zerrouki N; Harrou F; Sun Y; Houacine A
    J Med Syst; 2016 Dec; 40(12):284. PubMed ID: 27796842
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Triaxial accelerometer-based fall detection method using a self-constructing cascade-AdaBoost-SVM classifier.
    Cheng WC; Jhan DM
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):411-9. PubMed ID: 24235113
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Highly Portable, Sensor-Based System for Human Fall Monitoring.
    Mao A; Ma X; He Y; Luo J
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28902149
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.
    Bourke AK; Klenk J; Schwickert L; Aminian K; Ihlen EA; Mellone S; Helbostad JL; Chiari L; Becker C
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3712-3715. PubMed ID: 28269098
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Human fall detection on embedded platform using depth maps and wireless accelerometer.
    Kwolek B; Kepski M
    Comput Methods Programs Biomed; 2014 Dec; 117(3):489-501. PubMed ID: 25308505
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An elderly fall detection using a wrist-worn accelerometer and barometer.
    Jatesiktat P; Wei Tech Ang
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():125-130. PubMed ID: 29059826
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Threshold-based fall detection using a hybrid of tri-axial accelerometer and gyroscope.
    Wang FT; Chan HL; Hsu MH; Lin CK; Chao PK; Chang YJ
    Physiol Meas; 2018 Oct; 39(10):105002. PubMed ID: 30207983
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring.
    Yu S; Chen H; Brown RA
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1847-1853. PubMed ID: 29990227
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Barometric pressure and triaxial accelerometry-based falls event detection.
    Bianchi F; Redmond SJ; Narayanan MR; Cerutti S; Lovell NH
    IEEE Trans Neural Syst Rehabil Eng; 2010 Dec; 18(6):619-27. PubMed ID: 20805056
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.
    Aziz O; Musngi M; Park EJ; Mori G; Robinovitch SN
    Med Biol Eng Comput; 2017 Jan; 55(1):45-55. PubMed ID: 27106749
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fall detection using smart floor sensor and supervised learning.
    Minvielle L; Atiq M; Serra R; Mougeot M; Vayatis N
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3445-3448. PubMed ID: 29060638
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detecting falls with wearable sensors using machine learning techniques.
    Özdemir AT; Barshan B
    Sensors (Basel); 2014 Jun; 14(6):10691-708. PubMed ID: 24945676
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.