Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer.
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Bradford S. Westgate | Karin A Pfeiffer | Alexander H K Montoye | Bradford S Westgate | Morgan R Fonley | K. Pfeiffer | M. Fonley | A. Montoye
[1] Pierre Jallon,et al. Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough. , 2015, Journal of applied physiology.
[2] B. Ainsworth,et al. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. , 2000, Medicine and science in sports and exercise.
[3] B. Efron. Bootstrap Methods: Another Look at the Jackknife , 1979 .
[4] Karin A Pfeiffer,et al. Energy Expenditure Prediction Using Raw Accelerometer Data in Simulated Free Living. , 2015, Medicine and science in sports and exercise.
[5] G. Jean-Louis,et al. Sleep detection with an accelerometer actigraph: comparisons with polysomnography , 2001, Physiology & Behavior.
[6] Gert R. G. Lanckriet,et al. Objective Assessment of Physical Activity: Classifiers for Public Health. , 2016, Medicine and science in sports and exercise.
[7] John Staudenmayer,et al. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. , 2009, Journal of applied physiology.
[8] Alan Godfrey,et al. Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis , 2017, Physiological measurement.
[9] Richard P Troiano,et al. Evolution of accelerometer methods for physical activity research , 2014, British Journal of Sports Medicine.
[10] P. Freedson,et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. , 2008, American journal of epidemiology.
[11] P S Freedson,et al. Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.
[12] John Staudenmayer,et al. Direct observation is a valid criterion for estimating physical activity and sedentary behavior. , 2014, Journal of physical activity & health.
[13] ALEX V. ROWLANDS,et al. Raw Accelerometer Data Analysis with GGIR R-package: Does Accelerometer Brand Matter? , 2016, Medicine and science in sports and exercise.
[14] Andrea Mannini,et al. Activity recognition using a single accelerometer placed at the wrist or ankle. , 2013, Medicine and science in sports and exercise.
[15] Alberto G. Bonomi,et al. Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life , 2011, IEEE Transactions on Biomedical Engineering.
[16] David R Bassett,et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. , 2011, Medicine and science in sports and exercise.
[17] James M. Pivarnik,et al. Validation and Comparison of Accelerometers Worn on the Hip, Thigh, and Wrists for Measuring Physical Activity and Sedentary Behavior , 2016, AIMS public health.
[18] Munni Begum,et al. Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data , 2017, Physiological measurement.
[19] Rebecca W. Moore,et al. Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors , 2016, British Journal of Sports Medicine.
[20] Leonard A Kaminsky,et al. Variability of Objectively Measured Sedentary Behavior. , 2016, Medicine and science in sports and exercise.
[21] Julien Penders,et al. Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors , 2016, IEEE Journal of Biomedical and Health Informatics.
[22] Bo Dong,et al. Energy-aware activity classification using wearable sensor networks , 2013, Defense, Security, and Sensing.
[23] James M. Pivarnik,et al. Comparison of Activity Type Classification Accuracy from Accelerometers Worn on the Hip, Wrists, and Thigh in Young, Apparently Healthy Adults , 2016 .
[24] Stewart G Trost,et al. Comparison of accelerometer cut points for predicting activity intensity in youth. , 2011, Medicine and science in sports and exercise.
[25] Leonard A Kaminsky,et al. Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level , 2013, BMC Medical Research Methodology.
[26] Gert R. G. Lanckriet,et al. Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. , 2016, Medicine and science in sports and exercise.
[27] D. Baer,et al. Comparison of two different physical activity monitors , 2007, BMC medical research methodology.
[28] Kamlesh Khunti,et al. Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches , 2016, PloS one.
[29] J. Staudenmayer,et al. Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements. , 2015, Journal of applied physiology.
[30] Tina L Hurst,et al. Physical activity classification using the GENEA wrist-worn accelerometer. , 2012, Medicine and science in sports and exercise.
[31] Dinesh John,et al. Performance of Activity Classification Algorithms in Free-Living Older Adults. , 2016, Medicine and science in sports and exercise.
[32] Vinod Chandran,et al. Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry , 2017, Medicine and science in sports and exercise.
[33] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.
[34] Kenneth Meijer,et al. Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.
[35] John Staudenmayer,et al. A method to estimate free-living active and sedentary behavior from an accelerometer. , 2014, Medicine and science in sports and exercise.
[36] Luo Xiao,et al. An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics , 2016, PloS one.
[37] D R Bassett,et al. Comparison of MTI Accelerometer Cut-Points for Predicting Time Spent in Physical Activity , 2003, International journal of sports medicine.