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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

536 related items for PubMed ID: 28159535

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  • 24. Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements.
    Staudenmayer J, He S, Hickey A, Sasaki J, Freedson P.
    J Appl Physiol (1985); 2015 Aug 15; 119(4):396-403. PubMed ID: 26112238
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  • 25. Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning.
    Altini M, Penders J, Vullers R, Amft O.
    IEEE J Biomed Health Inform; 2015 Jan 15; 19(1):219-26. PubMed ID: 24691168
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  • 26. Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer.
    Montoye AHK, Westgate BS, Fonley MR, Pfeiffer KA.
    J Appl Physiol (1985); 2018 May 01; 124(5):1284-1293. PubMed ID: 29369742
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  • 28. Validation of a wireless accelerometer network for energy expenditure measurement.
    Montoye AH, Dong B, Biswas S, Pfeiffer KA.
    J Sports Sci; 2016 Nov 01; 34(21):2130-9. PubMed ID: 26942316
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  • 29. Predicting physical activity energy expenditure in manual wheelchair users.
    Nightingale TE, Walhim JP, Thompson D, Bilzon JL.
    Med Sci Sports Exerc; 2014 Sep 01; 46(9):1849-58. PubMed ID: 25134004
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  • 33. Prior automatic posture and activity identification improves physical activity energy expenditure prediction from hip-worn triaxial accelerometry.
    Garnotel M, Bastian T, Romero-Ugalde HM, Maire A, Dugas J, Zahariev A, Doron M, Jallon P, Charpentier G, Franc S, Blanc S, Bonnet S, Simon C.
    J Appl Physiol (1985); 2018 Mar 01; 124(3):780-790. PubMed ID: 29191980
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  • 36. Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.
    Schaefer CA, Nigg CR, Hill JO, Brink LA, Browning RC.
    Med Sci Sports Exerc; 2014 Apr 01; 46(4):826-33. PubMed ID: 24121241
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  • 37. Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners.
    Hernando C, Hernando C, Collado EJ, Panizo N, Martinez-Navarro I, Hernando B.
    PLoS One; 2018 Apr 01; 13(8):e0202815. PubMed ID: 30157271
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  • 38. Combined triaxial accelerometry and heart rate telemetry for the physiological characterization of Latin dance in non-professional adults.
    Domene PA, Easton C.
    J Dance Med Sci; 2014 Mar 01; 18(1):29-36. PubMed ID: 24568801
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  • 39. The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study.
    Davoudi A, Mardini MT, Nelson D, Albinali F, Ranka S, Rashidi P, Manini TM.
    JMIR Mhealth Uhealth; 2021 May 03; 9(5):e23681. PubMed ID: 33938809
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  • 40. 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 03; 33(9):1752-1764. PubMed ID: 37306308
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