Patty Freedson to Actigraphy
This is a "connection" page, showing publications Patty Freedson has written about Actigraphy.
Connection Strength
5.633
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Hickey AM, Freedson PS. Utility of Consumer Physical Activity Trackers as an Intervention Tool in Cardiovascular Disease Prevention and Treatment. Prog Cardiovasc Dis. 2016 May-Jun; 58(6):613-9.
Score: 0.491
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Staudenmayer J, He S, Hickey A, Sasaki J, Freedson P. Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements. J Appl Physiol (1985). 2015 Aug 15; 119(4):396-403.
Score: 0.468
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Hickey A, John D, Sasaki JE, Mavilia M, Freedson P. Validity of Activity Monitor Step Detection Is Related to Movement Patterns. J Phys Act Health. 2016 Feb; 13(2):145-53.
Score: 0.468
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John D, Sasaki J, Hickey A, Mavilia M, Freedson PS. ActiGraph? activity monitors: "the firmware effect". Med Sci Sports Exerc. 2014 Apr; 46(4):834-9.
Score: 0.429
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Lyden K, Keadle SK, Staudenmayer J, Freedson PS. A method to estimate free-living active and sedentary behavior from an accelerometer. Med Sci Sports Exerc. 2014 Feb; 46(2):386-97.
Score: 0.425
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John D, Staudenmayer J, Freedson P. Simple to complex modeling of breathing volume using a motion sensor. Sci Total Environ. 2013 Jun 01; 454-455:184-8.
Score: 0.400
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Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS. Validity of two wearable monitors to estimate breaks from sedentary time. Med Sci Sports Exerc. 2012 Nov; 44(11):2243-52.
Score: 0.389
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John D, Miller R, Kozey-Keadle S, Caldwell G, Freedson P. Biomechanical examination of the 'plateau phenomenon' in ActiGraph vertical activity counts. Physiol Meas. 2012 Feb; 33(2):219-30.
Score: 0.369
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John D, Freedson P. ActiGraph and Actical physical activity monitors: a peek under the hood. Med Sci Sports Exerc. 2012 Jan; 44(1 Suppl 1):S86-9.
Score: 0.367
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Mo L, Liu S, Gao RX, John D, Staudenmayer J, Freedson P. ZigBee-based wireless multi-sensor system for physical activity assessment. Annu Int Conf IEEE Eng Med Biol Soc. 2011; 2011:846-9.
Score: 0.343
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Lyden K, Kozey SL, Staudenmeyer JW, Freedson PS. A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. Eur J Appl Physiol. 2011 Feb; 111(2):187-201.
Score: 0.336
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Kozey SL, Staudenmayer JW, Troiano RP, Freedson PS. Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion. Med Sci Sports Exerc. 2010 May; 42(5):971-6.
Score: 0.327
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Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol (1985). 2009 Oct; 107(4):1300-7.
Score: 0.311
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Marcotte RT, Petrucci GJ, Cox MF, Freedson PS, Staudenmayer JW, Sirard JR. Estimating Sedentary Time from a Hip- and Wrist-Worn Accelerometer. Med Sci Sports Exerc. 2020 01; 52(1):225-232.
Score: 0.160
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Arguello D, Andersen K, Morton A, Freedson PS, Intille SS, John D. Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X. J Sports Sci. 2018 Jul; 36(13):1502-1507.
Score: 0.138
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Liu S, Gao RX, Freedson PS. Computational methods for estimating energy expenditure in human physical activities. Med Sci Sports Exerc. 2012 Nov; 44(11):2138-46.
Score: 0.097
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Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J. Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample. J Appl Physiol (1985). 2011 Dec; 111(6):1804-12.
Score: 0.090
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Matthews CE, Keadle SK, Sampson J, Lyden K, Bowles HR, Moore SC, Libertine A, Freedson PS, Fowke JH. Validation of a previous-day recall measure of active and sedentary behaviors. Med Sci Sports Exerc. 2013 Aug; 45(8):1629-38.
Score: 0.026