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 *

202 related articles for article (PubMed ID: 26007719)

  • 21. 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]  

  • 22. 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]  

  • 23. Automated remote fall detection using impact features from video and audio.
    Geertsema EE; Visser GH; Viergever MA; Kalitzin SN
    J Biomech; 2019 May; 88():25-32. PubMed ID: 30922611
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults.
    Scheurer S; Koch J; Kucera M; Bryn H; Bärtschi M; Meerstetter T; Nef T; Urwyler P
    Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30889925
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Validity of a Smartphone-Based Fall Detection Application on Different Phones Worn on a Belt or in a Trouser Pocket.
    Vermeulen J; Willard S; Aguiar B; De Witte LP
    Assist Technol; 2015; 27(1):18-23. PubMed ID: 26132221
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A method for automatic fall detection of elderly people using floor vibrations and sound--proof of concept on human mimicking doll falls.
    Zigel Y; Litvak D; Gannot I
    IEEE Trans Biomed Eng; 2009 Dec; 56(12):2858-67. PubMed ID: 19709955
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Wavelet-based algorithm for auto-detection of daily living activities of older adults captured by multiple inertial measurement units (IMUs).
    Ayachi FS; Nguyen HP; Lavigne-Pelletier C; Goubault E; Boissy P; Duval C
    Physiol Meas; 2016 Mar; 37(3):442-61. PubMed ID: 26914432
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Directional wavelet based features for colonic polyp classification.
    Wimmer G; Tamaki T; Tischendorf JJ; Häfner M; Yoshida S; Tanaka S; Uhl A
    Med Image Anal; 2016 Jul; 31():16-36. PubMed ID: 26948110
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. Distinguishing the causes of falls in humans using an array of wearable tri-axial accelerometers.
    Aziz O; Park EJ; Mori G; Robinovitch SN
    Gait Posture; 2014; 39(1):506-12. PubMed ID: 24148648
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Voice activity detection algorithm using perceptual wavelet entropy neighbor slope.
    Lee G; Na SD; Cho JH; Kim MN
    Biomed Mater Eng; 2014; 24(6):3295-301. PubMed ID: 25227039
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Efficient source separation algorithms for acoustic fall detection using a microsoft kinect.
    Li Y; Ho KC; Popescu M
    IEEE Trans Biomed Eng; 2014 Mar; 61(3):745-55. PubMed ID: 24235295
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Continuous wavelet transform analysis of acceleration signals measured from a wave buoy.
    Chuang LZ; Wu LC; Wang JH
    Sensors (Basel); 2013 Aug; 13(8):10908-30. PubMed ID: 23966188
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image.
    Singh A; Dutta MK; ParthaSarathi M; Uher V; Burget R
    Comput Methods Programs Biomed; 2016 Feb; 124():108-20. PubMed ID: 26574297
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly.
    Khandoker AH; Lai DT; Begg RK; Palaniswami M
    IEEE Trans Neural Syst Rehabil Eng; 2007 Dec; 15(4):587-97. PubMed ID: 18198717
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Sensitivity and false alarm rate of a fall sensor in long-term fall detection in the elderly.
    Kangas M; Korpelainen R; Vikman I; Nyberg L; Jämsä T
    Gerontology; 2015; 61(1):61-8. PubMed ID: 25138139
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparison of acceleration signals of simulated and real-world backward falls.
    Klenk J; Becker C; Lieken F; Nicolai S; Maetzler W; Alt W; Zijlstra W; Hausdorff JM; van Lummel RC; Chiari L; Lindemann U
    Med Eng Phys; 2011 Apr; 33(3):368-73. PubMed ID: 21123104
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.