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 *

123 related articles for article (PubMed ID: 23488146)

  • 1. [Study on the method and system for falling detection based on the inclinometer].
    Zhu Y; Zhang Y; Song J; Qiu T
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Feb; 30(1):95-9. PubMed ID: 23488146
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Fall detection and reliable device design].
    Li Z; Pin C
    Zhongguo Yi Liao Qi Xie Za Zhi; 2009 Mar; 33(2):99-102, 111. PubMed ID: 19565793
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects.
    Kangas M; Vikman I; Nyberg L; Korpelainen R; Lindblom J; Jämsä T
    Gait Posture; 2012 Mar; 35(3):500-5. PubMed ID: 22169389
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A wearable system for pre-impact fall detection.
    Nyan MN; Tay FE; Murugasu E
    J Biomech; 2008 Dec; 41(16):3475-81. PubMed ID: 18996529
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor.
    Bourke AK; Lyons GM
    Med Eng Phys; 2008 Jan; 30(1):84-90. PubMed ID: 17222579
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models.
    Allen FR; Ambikairajah E; Lovell NH; Celler BG
    Physiol Meas; 2006 Oct; 27(10):935-51. PubMed ID: 16951454
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of motion analysis system in pre-impact fall detection.
    Nyan MN; Tay FE; Mah MZ
    J Biomech; 2008 Jul; 41(10):2297-304. PubMed ID: 18589428
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Implementation of accelerometer sensor module and fall detection monitoring system based on wireless sensor network.
    Lee Y; Kim J; Son M; Lee M
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():2315-8. PubMed ID: 18002455
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 12(7):e0180318. PubMed ID: 28678808
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of automatic fall detection by the cross-product and magnitude of tri-axial acceleration.
    Chao PK; Chan HL; Tang FT; Chen YC; Wong MK
    Physiol Meas; 2009 Oct; 30(10):1027-37. PubMed ID: 19713595
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.
    Wang C; Redmond SJ; Lu W; Stevens MC; Lord SR; Lovell NH
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2729-2736. PubMed ID: 28212076
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 2010():2115-8. PubMed ID: 21096573
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A wearable airbag to prevent fall injuries.
    Tamura T; Yoshimura T; Sekine M; Uchida M; Tanaka O
    IEEE Trans Inf Technol Biomed; 2009 Nov; 13(6):910-4. PubMed ID: 19846379
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fall prediction with wearable sensors--an empirical study on expert opinions.
    Marschollek M; Schulze M; Gietzelt M; Lovel N; Redmond SJ
    Stud Health Technol Inform; 2013; 190():138-40. PubMed ID: 23823402
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Exploration and comparison of the pre-impact lead time of active and passive falls based on inertial sensors.
    Liang D; Ivanov K; Li H; Ning Y; Zhang Q; Wang L; Zhao G
    Biomed Mater Eng; 2014; 24(1):279-88. PubMed ID: 24211908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of low-complexity fall detection algorithms for body attached accelerometers.
    Kangas M; Konttila A; Lindgren P; Winblad I; Jämsä T
    Gait Posture; 2008 Aug; 28(2):285-91. PubMed ID: 18294851
    [TBL] [Abstract][Full Text] [Related]  

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

  • 19. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm.
    Bourke AK; O'Brien JV; Lyons GM
    Gait Posture; 2007 Jul; 26(2):194-9. PubMed ID: 17101272
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sensitivity and specificity of fall detection in people aged 40 years and over.
    Kangas M; Vikman I; Wiklander J; Lindgren P; Nyberg L; Jämsä T
    Gait Posture; 2009 Jun; 29(4):571-4. PubMed ID: 19153043
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.