BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

237 related articles for article (PubMed ID: 12784173)

  • 1. Comparison of MTI accelerometer cut-points for predicting time spent in physical activity.
    Strath SJ; Bassett DR; Swartz AM
    Int J Sports Med; 2003 May; 24(4):298-303. PubMed ID: 12784173
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Field validation of the MTI Actigraph and BodyMedia armband monitor using the IDEEA monitor.
    Welk GJ; McClain JJ; Eisenmann JC; Wickel EE
    Obesity (Silver Spring); 2007 Apr; 15(4):918-28. PubMed ID: 17426327
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discrepancies between methods of identifying objectively determined physical activity.
    Ham SA; Reis JP; Strath SJ; Dubose KD; Ainsworth BE
    Med Sci Sports Exerc; 2007 Jan; 39(1):52-8. PubMed ID: 17218884
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Calibration of accelerometer output for ambulatory adults with multiple sclerosis.
    Motl RW; Snook EM; Agiovlasitis S; Suh Y
    Arch Phys Med Rehabil; 2009 Oct; 90(10):1778-84. PubMed ID: 19801071
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of monitor placement and of activity setting on the MTI accelerometer output.
    Yngve A; Nilsson A; Sjostrom M; Ekelund U
    Med Sci Sports Exerc; 2003 Feb; 35(2):320-6. PubMed ID: 12569223
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry.
    Kumahara H; Schutz Y; Ayabe M; Yoshioka M; Yoshitake Y; Shindo M; Ishii K; Tanaka H
    Br J Nutr; 2004 Feb; 91(2):235-43. PubMed ID: 14756909
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Actigraph accelerometer interinstrument reliability during free-living in adults.
    McClain JJ; Sisson SB; Tudor-Locke C
    Med Sci Sports Exerc; 2007 Sep; 39(9):1509-14. PubMed ID: 17805082
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Calibration and comparison of accelerometer cut points in preschool children.
    van Cauwenberghe E; Labarque V; Trost SG; de Bourdeaudhuij I; Cardon G
    Int J Pediatr Obes; 2011 Jun; 6(2-2):e582-9. PubMed ID: 21121867
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accelerometer cut-points derived during over-ground walking in persons with mild, moderate, and severe multiple sclerosis.
    Sandroff BM; Riskin BJ; Agiovlasitis S; Motl RW
    J Neurol Sci; 2014 May; 340(1-2):50-7. PubMed ID: 24635890
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Validation and calibration of an accelerometer in preschool children.
    Pate RR; Almeida MJ; McIver KL; Pfeiffer KA; Dowda M
    Obesity (Silver Spring); 2006 Nov; 14(11):2000-6. PubMed ID: 17135617
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accelerometer-determined physical activity of free-living college students.
    Dinger MK; Behrens TK
    Med Sci Sports Exerc; 2006 Apr; 38(4):774-9. PubMed ID: 16679996
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predictive validity of three ActiGraph energy expenditure equations for children.
    Trost SG; Way R; Okely AD
    Med Sci Sports Exerc; 2006 Feb; 38(2):380-7. PubMed ID: 16531910
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ambulatory physical activity, disease severity, and employment status in adult women with osteoarthritis of the hip.
    Hirata S; Ono R; Yamada M; Takikawa S; Nishiyama T; Hasuda K; Kurosaka M
    J Rheumatol; 2006 May; 33(5):939-45. PubMed ID: 16652424
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Determination and application of cut points for accelerometer-based activity counts of activities with differing intensity in pet dogs.
    Michel KE; Brown DC
    Am J Vet Res; 2011 Jul; 72(7):866-70. PubMed ID: 21728845
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Physical activity pattern of children assessed by triaxial accelerometry.
    Hoos MB; Kuipers H; Gerver WJ; Westerterp KR
    Eur J Clin Nutr; 2004 Oct; 58(10):1425-8. PubMed ID: 15127091
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis.
    Howe CA; Staudenmayer JW; Freedson PS
    Med Sci Sports Exerc; 2009 Dec; 41(12):2199-206. PubMed ID: 19915498
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Calibration of the RT3 accelerometer for various patterns of physical activity in children and adolescents.
    Vanhelst J; Béghin L; Rasoamanana P; Theunynck D; Meskini T; Iliescu C; Duhamel A; Turck D; Gottrand F
    J Sports Sci; 2010 Feb; 28(4):381-7. PubMed ID: 20175015
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.