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John Staudenmayer

Showing results (11-20 of 67) with videos related to

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Annals of Behavioral Medicine : a Publication of the Society of Behavioral Medicine|November 17, 2006
Religious service attendance and decline in pulmonary function in a high-functioning elderly cohortJoanna Maselko, Laura Kubzansky, Ichiro Kawachi, et al.
Physiological Measurement|December 17, 2011
Improved regression models for ventilation estimation based on chest and abdomen movementsShaopeng Liu, Robert Gao, Qingbo He, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|June 27, 2015
Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurementsJohn Staudenmayer, Shai He, Amanda Hickey, et al.
Medicine and Science in Sports and Exercise|September 9, 2006
Development of novel techniques to classify physical activity mode using accelerometersDavid M Pober, John Staudenmayer, Christopher Raphael, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|August 1, 2009
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometerJohn Staudenmayer, David Pober, Scott Crouter, et al.
International Journal of Behavioral Medicine|March 26, 2009
Posttraumatic stress symptoms related to community violence and children's diurnal cortisol response in an urban community-dwelling sampleShakira Franco Suglia, John Staudenmayer, Sheldon Cohen, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|September 3, 2011
Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent samplePatty S Freedson, Kate Lyden, Sarah Kozey-Keadle, et al.
Medicine and Science in Sports and Exercise|April 15, 2017
The activPALTM Accurately Classifies Activity Intensity Categories in Healthy AdultsKate Lyden, Sarah Kozey Keadle, John Staudenmayer, et al.
Medicine and Science in Sports and Exercise|December 18, 2015
Hip and Wrist Accelerometer Algorithms for Free-Living Behavior ClassificationKatherine Ellis, Jacqueline Kerr, Suneeta Godbole, et al.
Annals of Biomedical Engineering|January 18, 2013
Tissue artifact removal from respiratory signals based on empirical mode decompositionShaopeng Liu, Robert X Gao, Dinesh John, et al.
Pageof 7

Showing results (11-20 of 67) with videos related to

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Pageof 7
Annals of Behavioral Medicine : a Publication of the Society of Behavioral Medicine|November 17, 2006
Religious service attendance and decline in pulmonary function in a high-functioning elderly cohortJoanna Maselko, Laura Kubzansky, Ichiro Kawachi, et al.
Physiological Measurement|December 17, 2011
Improved regression models for ventilation estimation based on chest and abdomen movementsShaopeng Liu, Robert Gao, Qingbo He, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|June 27, 2015
Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurementsJohn Staudenmayer, Shai He, Amanda Hickey, et al.
Medicine and Science in Sports and Exercise|September 9, 2006
Development of novel techniques to classify physical activity mode using accelerometersDavid M Pober, John Staudenmayer, Christopher Raphael, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|August 1, 2009
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometerJohn Staudenmayer, David Pober, Scott Crouter, et al.
International Journal of Behavioral Medicine|March 26, 2009
Posttraumatic stress symptoms related to community violence and children's diurnal cortisol response in an urban community-dwelling sampleShakira Franco Suglia, John Staudenmayer, Sheldon Cohen, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|September 3, 2011
Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent samplePatty S Freedson, Kate Lyden, Sarah Kozey-Keadle, et al.
Medicine and Science in Sports and Exercise|April 15, 2017
The activPALTM Accurately Classifies Activity Intensity Categories in Healthy AdultsKate Lyden, Sarah Kozey Keadle, John Staudenmayer, et al.
Medicine and Science in Sports and Exercise|December 18, 2015
Hip and Wrist Accelerometer Algorithms for Free-Living Behavior ClassificationKatherine Ellis, Jacqueline Kerr, Suneeta Godbole, et al.
Annals of Biomedical Engineering|January 18, 2013
Tissue artifact removal from respiratory signals based on empirical mode decompositionShaopeng Liu, Robert X Gao, Dinesh John, et al.
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