BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

222 related articles for article (PubMed ID: 30067593)

  • 21. Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.
    Fairclough SJ; Rowlands AV; Del Pozo Cruz B; Crotti M; Foweather L; Graves LEF; Hurter L; Jones O; MacDonald M; McCann DA; Miller C; Noonan RJ; Owen MB; Rudd JR; Taylor SL; Tyler R; Boddy LM
    Int J Behav Nutr Phys Act; 2023 Mar; 20(1):35. PubMed ID: 36964597
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Validation of automatic wear-time detection algorithms in a free-living setting of wrist-worn and hip-worn ActiGraph GT3X.
    Knaier R; Höchsmann C; Infanger D; Hinrichs T; Schmidt-Trucksäss A
    BMC Public Health; 2019 Feb; 19(1):244. PubMed ID: 30819148
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identifying bedrest using 24-h waist or wrist accelerometry in adults.
    Tracy JD; Acra S; Chen KY; Buchowski MS
    PLoS One; 2018; 13(3):e0194461. PubMed ID: 29570740
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Wrist-worn triaxial accelerometry predicts the energy expenditure of non-vigorous daily physical activities.
    Sirichana W; Dolezal BA; Neufeld EV; Wang X; Cooper CB
    J Sci Med Sport; 2017 Aug; 20(8):761-765. PubMed ID: 28159535
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.
    Hildebrand M; VAN Hees VT; Hansen BH; Ekelund U
    Med Sci Sports Exerc; 2014 Sep; 46(9):1816-24. PubMed ID: 24887173
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography.
    Full KM; Kerr J; Grandner MA; Malhotra A; Moran K; Godoble S; Natarajan L; Soler X
    Sleep Health; 2018 Apr; 4(2):209-216. PubMed ID: 29555136
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. US Population-referenced Percentiles for Wrist-Worn Accelerometer-derived Activity.
    Belcher BR; Wolff-Hughes DL; Dooley EE; Staudenmayer J; Berrigan D; Eberhardt MS; Troiano RP
    Med Sci Sports Exerc; 2021 Nov; 53(11):2455-2464. PubMed ID: 34115727
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth.
    Tracy DJ; Xu Z; Choi L; Acra S; Chen KY; Buchowski MS
    PLoS One; 2014; 9(4):e92512. PubMed ID: 24727999
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Comparability and feasibility of wrist- and hip-worn accelerometers in free-living adolescents.
    Scott JJ; Rowlands AV; Cliff DP; Morgan PJ; Plotnikoff RC; Lubans DR
    J Sci Med Sport; 2017 Dec; 20(12):1101-1106. PubMed ID: 28501418
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period - an explorative observational study.
    Lyckegård Finn E; Carlsson H; Ericson P; Åström K; Brogårdh C; Wasselius J
    J Neuroeng Rehabil; 2024 May; 21(1):82. PubMed ID: 38769565
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Objective Assessment of Strength Training Exercises using a Wrist-Worn Accelerometer.
    Conger SA; Guo J; Fulkerson SM; Pedigo L; Chen H; Bassett DR
    Med Sci Sports Exerc; 2016 Sep; 48(9):1847-55. PubMed ID: 27054678
    [TBL] [Abstract][Full Text] [Related]  

  • 34. CARL: a running recognition algorithm for free-living accelerometer data.
    Davis JJ; Straczkiewicz M; Harezlak J; Gruber AH
    Physiol Meas; 2021 Dec; 42(11):. PubMed ID: 34883471
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Personalised Accelerometer Cut-point Prediction for Older Adults' Movement Behaviours using a Machine Learning approach.
    Nnamoko N; Cabrera-Diego LA; Campbell D; Sanders G; Fairclough SJ; Korkontzelos I
    Comput Methods Programs Biomed; 2021 Sep; 208():106165. PubMed ID: 34118492
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Using accelerometry to classify physical activity intensity in older adults: What is the optimal wear-site?
    Duncan MJ; Rowlands A; Lawson C; Leddington Wright S; Hill M; Morris M; Eyre E; Tallis J
    Eur J Sport Sci; 2020 Sep; 20(8):1131-1139. PubMed ID: 31726952
    [No Abstract]   [Full Text] [Related]  

  • 38. Accelerometer wear-site detection: When one site does not suit all, all of the time.
    Rowlands AV; Olds TS; Bakrania K; Stanley RM; Parfitt G; Eston RG; Yates T; Fraysse F
    J Sci Med Sport; 2017 Apr; 20(4):368-372. PubMed ID: 28117147
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries.
    Willy RW
    Phys Ther Sport; 2018 Jan; 29():26-33. PubMed ID: 29172095
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparison of Accelerometry Methods for Estimating Physical Activity.
    Kerr J; Marinac CR; Ellis K; Godbole S; Hipp A; Glanz K; Mitchell J; Laden F; James P; Berrigan D
    Med Sci Sports Exerc; 2017 Mar; 49(3):617-624. PubMed ID: 27755355
    [TBL] [Abstract][Full Text] [Related]  

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