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 *

316 related articles for article (PubMed ID: 20138524)

  • 1. Classifying household and locomotive activities using a triaxial accelerometer.
    Oshima Y; Kawaguchi K; Tanaka S; Ohkawara K; Hikihara Y; Ishikawa-Takata K; Tabata I
    Gait Posture; 2010 Mar; 31(3):370-4. PubMed ID: 20138524
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.
    Ohkawara K; Oshima Y; Hikihara Y; Ishikawa-Takata K; Tabata I; Tanaka S
    Br J Nutr; 2011 Jun; 105(11):1681-91. PubMed ID: 21262061
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of children's activity type with accelerometer-based neural networks.
    de Vries SI; Engels M; Garre FG
    Med Sci Sports Exerc; 2011 Oct; 43(10):1994-9. PubMed ID: 21448085
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessment of energy expenditure for physical activity using a triaxial accelerometer.
    Bouten CV; Westerterp KR; Verduin M; Janssen JD
    Med Sci Sports Exerc; 1994 Dec; 26(12):1516-23. PubMed ID: 7869887
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity.
    Bouten CV; Koekkoek KT; Verduin M; Kodde R; Janssen JD
    IEEE Trans Biomed Eng; 1997 Mar; 44(3):136-47. PubMed ID: 9216127
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Discrimination of walking patterns using wavelet-based fractal analysis.
    Sekine M; Tamura T; Akay M; Fujimoto T; Togawa T; Fukui Y
    IEEE Trans Neural Syst Rehabil Eng; 2002 Sep; 10(3):188-96. PubMed ID: 12503784
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of locomotor activity by acceleration measurement: validation in Parkinson disease.
    Keenan DB; Wilhelm FH
    Biomed Sci Instrum; 2005; 41():329-34. PubMed ID: 15850127
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A new 2-regression model for the Actical accelerometer.
    Crouter SE; Bassett DR
    Br J Sports Med; 2008 Mar; 42(3):217-24. PubMed ID: 17761786
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of low-intensity physical activity by triaxial accelerometry.
    Midorikawa T; Tanaka S; Kaneko K; Koizumi K; Ishikawa-Takata K; Futami J; Tabata I
    Obesity (Silver Spring); 2007 Dec; 15(12):3031-8. PubMed ID: 18198312
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.
    Najafi B; Aminian K; Paraschiv-Ionescu A; Loew F; Büla CJ; Robert P
    IEEE Trans Biomed Eng; 2003 Jun; 50(6):711-23. PubMed ID: 12814238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification of gait patterns in the time-frequency domain.
    Nyan MN; Tay FE; Seah KH; Sitoh YY
    J Biomech; 2006; 39(14):2647-56. PubMed ID: 16212968
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Can triaxial accelerometry accurately recognize inclined walking terrains?
    Wang N; Redmond SJ; Ambikairajah E; Celler BG; Lovell NH
    IEEE Trans Biomed Eng; 2010 Oct; 57(10):2506-16. PubMed ID: 20460200
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development of novel techniques to classify physical activity mode using accelerometers.
    Pober DM; Staudenmayer J; Raphael C; Freedson PS
    Med Sci Sports Exerc; 2006 Sep; 38(9):1626-34. PubMed ID: 16960524
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of pelvic movement in the elderly during walking using a posture monitoring system equipped with a triaxial accelerometer and a gyroscope.
    Ishigaki N; Kimura T; Usui Y; Aoki K; Narita N; Shimizu M; Hara K; Ogihara N; Nakamura K; Kato H; Ohira M; Yokokawa Y; Miyoshi K; Murakami N; Okada S; Nakamura T; Saito N
    J Biomech; 2011 Jun; 44(9):1788-92. PubMed ID: 21546026
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accelerometry as a measure of subject compliance in unilateral lower limb suspension.
    Cook SB; Clark BC; Ploutz-Snyder LL
    Aviat Space Environ Med; 2006 Sep; 77(9):953-6. PubMed ID: 16964746
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction models discriminating between nonlocomotive and locomotive activities in children using a triaxial accelerometer with a gravity-removal physical activity classification algorithm.
    Hikihara Y; Tanaka C; Oshima Y; Ohkawara K; Ishikawa-Takata K; Tanaka S
    PLoS One; 2014; 9(4):e94940. PubMed ID: 24755646
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Physical activity classification using the GENEA wrist-worn accelerometer.
    Zhang S; Rowlands AV; Murray P; Hurst TL
    Med Sci Sports Exerc; 2012 Apr; 44(4):742-8. PubMed ID: 21988935
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of activity mode with global positioning system and accelerometer data.
    Troped PJ; Oliveira MS; Matthews CE; Cromley EK; Melly SJ; Craig BA
    Med Sci Sports Exerc; 2008 May; 40(5):972-8. PubMed ID: 18408598
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life.
    Gyllensten IC; Bonomi AG
    IEEE Trans Biomed Eng; 2011 Sep; 58(9):2656-63. PubMed ID: 21712150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.