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 *

228 related articles for article (PubMed ID: 24755646)

  • 41. A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.
    Vähä-Ypyä H; Vasankari T; Husu P; Suni J; Sievänen H
    Clin Physiol Funct Imaging; 2015 Jan; 35(1):64-70. PubMed ID: 24393233
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Absolute intensity thresholds for tri-axial wrist and waist accelerometer-measured movement behaviors in adults.
    Mielke GI; de Almeida Mendes M; Ekelund U; Rowlands AV; Reichert FF; Crochemore-Silva I
    Scand J Med Sci Sports; 2023 Sep; 33(9):1752-1764. PubMed ID: 37306308
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 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]  

  • 44. Objectively measured light-intensity lifestyle activity and sedentary time are independently associated with metabolic syndrome: a cross-sectional study of Japanese adults.
    Kim J; Tanabe K; Yokoyama N; Zempo H; Kuno S
    Int J Behav Nutr Phys Act; 2013 Mar; 10():30. PubMed ID: 23452372
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Validity of the Actical for estimating free-living physical activity.
    Crouter SE; Dellavalle DM; Horton M; Haas JD; Frongillo EA; Bassett DR
    Eur J Appl Physiol; 2011 Jul; 111(7):1381-9. PubMed ID: 21153659
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Ability of RT3 accelerometer cut points to detect physical activity intensity in ambulatory children with cerebral palsy.
    Ryan J; Walsh M; Gormley J
    Adapt Phys Activ Q; 2014 Oct; 31(4):310-24. PubMed ID: 25211479
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Interaction Between Sarcopenic Obesity and Nonlocomotive Physical Activity on the Risk of Depressive Symptoms in Community-Dwelling Older Adult Japanese Women.
    Osugi Y; Imai A; Kurihara T; Kishigami K; Higashida K; Sanada K
    J Aging Phys Act; 2023 Aug; 31(4):541-547. PubMed ID: 36649722
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.
    Davoudi A; Wanigatunga AA; Kheirkhahan M; Corbett DB; Mendoza T; Battula M; Ranka S; Fillingim RB; Manini TM; Rashidi P
    JMIR Mhealth Uhealth; 2019 Feb; 7(2):e11270. PubMed ID: 30724739
    [TBL] [Abstract][Full Text] [Related]  

  • 49. High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort.
    Fridolfsson J; Buck C; Hunsberger M; Baran J; Lauria F; Molnar D; Moreno LA; Börjesson M; Lissner L; Arvidsson D;
    Int J Behav Nutr Phys Act; 2021 Jul; 18(1):90. PubMed ID: 34229708
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Need to Revise Classification of Physical Activity Intensity in Older Adults? The Use of Estimated METs, Measured METs, and V̇O2 Reserve.
    Skjødt M; Tully MA; Tsai LT; Gejl KD; Ørtenblad N; Jensen K; Koster A; Visser M; Andersen MS; Caserotti P
    J Gerontol A Biol Sci Med Sci; 2024 Jul; 79(7):. PubMed ID: 38703071
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Locomotive and non-locomotive activity as determined by triaxial accelerometry and physical fitness in Japanese preschool children.
    Tanaka C; Hikihara Y; Ohkawara K; Tanaka S
    Pediatr Exerc Sci; 2012 Aug; 24(3):420-34. PubMed ID: 22971558
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Distributed lag and spline modeling for predicting energy expenditure from accelerometry in youth.
    Choi L; Chen KY; Acra SA; Buchowski MS
    J Appl Physiol (1985); 2010 Feb; 108(2):314-27. PubMed ID: 19959770
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children's activities.
    Eston RG; Rowlands AV; Ingledew DK
    J Appl Physiol (1985); 1998 Jan; 84(1):362-71. PubMed ID: 9451658
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Ngram time series model to predict activity type and energy cost from wrist, hip and ankle accelerometers: implications of age.
    Strath SJ; Kate RJ; Keenan KG; Welch WA; Swartz AM
    Physiol Meas; 2015 Nov; 36(11):2335-51. PubMed ID: 26449155
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers.
    Ellis K; Kerr J; Godbole S; Lanckriet G; Wing D; Marshall S
    Physiol Meas; 2014 Nov; 35(11):2191-203. PubMed ID: 25340969
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Prediction of energy expenditure from wrist accelerometry in people with and without Down syndrome.
    Agiovlasitis S; Motl RW; Foley JT; Fernhall B
    Adapt Phys Activ Q; 2012 Apr; 29(2):179-90. PubMed ID: 22467836
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Effect of sampling rate on acceleration and counts of hip- and wrist-worn ActiGraph accelerometers in children.
    Clevenger KA; Pfeiffer KA; Mackintosh KA; McNarry MA; Brønd J; Arvidsson D; Montoye AHK
    Physiol Meas; 2019 Sep; 40(9):095008. PubMed ID: 31518999
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Validation of uniaxial and triaxial accelerometers for the assessment of physical activity in preschool children.
    Adolph AL; Puyau MR; Vohra FA; Nicklas TA; Zakeri IF; Butte NF
    J Phys Act Health; 2012 Sep; 9(7):944-53. PubMed ID: 22207582
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Comparison of daily physical activity parameters using objective methods between overweight and normal-weight children.
    Park J; Ishikawa-Takata K; Lee S; Kim E; Lim K; Kim H; Lee IS; Tanaka S
    J Sport Health Sci; 2018 Apr; 7(2):210-217. PubMed ID: 30356488
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study.
    Vanhelst J; Béghin L; Duhamel A; Bergman P; Sjöström M; Gottrand F
    BMC Med Res Methodol; 2012 Mar; 12():26. PubMed ID: 22409718
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.