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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

191 related items for PubMed ID: 25542073

  • 1. Towards a social and context-aware multi-sensor fall detection and risk assessment platform.
    De Backere F, Ongenae F, Van den Abeele F, Nelis J, Bonte P, Clement E, Philpott M, Hoebeke J, Verstichel S, Ackaert A, De Turck F.
    Comput Biol Med; 2015 Sep; 64():307-20. PubMed ID: 25542073
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. Development of a platform to combine sensor networks and home robots to improve fall detection in the home environment.
    Della Toffola L, Patel S, Chen BR, Ozsecen YM, Puiatti A, Bonato P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2011 Dec; 2011():5331-4. PubMed ID: 22255542
    [Abstract] [Full Text] [Related]

  • 5. Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.
    Aziz O, Klenk J, Schwickert L, Chiari L, Becker C, Park EJ, Mori G, Robinovitch SN.
    PLoS One; 2017 Dec; 12(7):e0180318. PubMed ID: 28678808
    [Abstract] [Full Text] [Related]

  • 6. A dynamic evidential network for fall detection.
    Aguilar PA, Boudy J, Istrate D, Dorizzi B, Mota JC.
    IEEE J Biomed Health Inform; 2014 Jul; 18(4):1103-13. PubMed ID: 24235255
    [Abstract] [Full Text] [Related]

  • 7. Context-aware fall detection using inertial sensors and time-of-flight transceivers.
    Shastry MC, Asgari M, Wan EA, Leitschuh J, Preiser N, Folsom J, Condon J, Cameron M, Jacobs PG.
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():570-573. PubMed ID: 28268395
    [Abstract] [Full Text] [Related]

  • 8. Dynamic Bayesian networks for context-aware fall risk assessment.
    Koshmak G, Linden M, Loutfi A.
    Sensors (Basel); 2014 May 23; 14(5):9330-48. PubMed ID: 24859032
    [Abstract] [Full Text] [Related]

  • 9. Social-aware Event Handling within the FallRisk Project.
    De Backere F, Van den Bergh J, Coppers S, Elprama S, Nelis J, Verstichel S, Jacobs A, Coninx K, Ongenae F, De Turck F.
    Methods Inf Med; 2017 Jan 09; 56(1):63-73. PubMed ID: 27922657
    [Abstract] [Full Text] [Related]

  • 10. Highly Portable, Sensor-Based System for Human Fall Monitoring.
    Mao A, Ma X, He Y, Luo J.
    Sensors (Basel); 2017 Sep 13; 17(9):. PubMed ID: 28902149
    [Abstract] [Full Text] [Related]

  • 11. Portable preimpact fall detector with inertial sensors.
    Wu G, Xue S.
    IEEE Trans Neural Syst Rehabil Eng; 2008 Apr 13; 16(2):178-83. PubMed ID: 18403286
    [Abstract] [Full Text] [Related]

  • 12. 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 13; 2015():3727-30. PubMed ID: 26737103
    [Abstract] [Full Text] [Related]

  • 13. Multimodal sensor-based fall detection within the domestic environment of elderly people.
    Feldwieser F, Gietzelt M, Goevercin M, Marschollek M, Meis M, Winkelbach S, Wolf KH, Spehr J, Steinhagen-Thiessen E.
    Z Gerontol Geriatr; 2014 Dec 13; 47(8):661-5. PubMed ID: 25112402
    [Abstract] [Full Text] [Related]

  • 14. Design and implementation of a distributed fall detection system--personal server.
    Estudillo-Valderrama MA, Roa LM, Reina-Tosina J, Naranjo-Hernández D.
    IEEE Trans Inf Technol Biomed; 2009 Nov 13; 13(6):874-81. PubMed ID: 19775977
    [Abstract] [Full Text] [Related]

  • 15. Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor.
    Nizam Y, Mohd MNH, Jamil MMA.
    Sensors (Basel); 2018 Jul 13; 18(7):. PubMed ID: 30011823
    [Abstract] [Full Text] [Related]

  • 16. Inertial sensing-based pre-impact detection of falls involving near-fall scenarios.
    Lee JK, Robinovitch SN, Park EJ.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Mar 13; 23(2):258-66. PubMed ID: 25252283
    [Abstract] [Full Text] [Related]

  • 17. Software simulation of unobtrusive falls detection at night-time using passive infrared and pressure mat sensors.
    Ariani A, Redmond SJ, Chang D, Lovell NH.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Mar 13; 2010():2115-8. PubMed ID: 21096573
    [Abstract] [Full Text] [Related]

  • 18. A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate.
    Wang C, Lu W, Redmond SJ, Stevens MC, Lord SR, Lovell NH.
    IEEE J Biomed Health Inform; 2018 Nov 13; 22(6):1929-1937. PubMed ID: 29990072
    [Abstract] [Full Text] [Related]

  • 19. Evaluation of accelerometer-based fall detection algorithms on real-world falls.
    Bagalà F, Becker C, Cappello A, Chiari L, Aminian K, Hausdorff JM, Zijlstra W, Klenk J.
    PLoS One; 2012 Nov 13; 7(5):e37062. PubMed ID: 22615890
    [Abstract] [Full Text] [Related]

  • 20. Fall detection algorithm in energy efficient multistate sensor system.
    Korats G, Hofmanis J, Skorodumovs A, Avots E.
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Nov 13; 2015():4974-7. PubMed ID: 26737408
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 10.