Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
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Title
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Authors
Keywords
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Journal
Scientific Reports
Volume 8, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-05-15
DOI
10.1038/s41598-018-26174-1
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Note: Only part of the references are listed.- UK Biobank: opportunities for cardiovascular research
- (2017) Thomas J. Littlejohns et al. EUROPEAN HEART JOURNAL
- Field evaluation of a random forest activity classifier for wrist-worn accelerometer data
- (2017) Toby G. Pavey et al. JOURNAL OF SCIENCE AND MEDICINE IN SPORT
- Large-scale physical activity data reveal worldwide activity inequality
- (2017) Tim Althoff et al. NATURE
- Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data
- (2017) Alexander H K Montoye et al. PHYSIOLOGICAL MEASUREMENT
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
- (2017) Aiden Doherty et al. PLoS One
- Association between active commuting and incident cardiovascular disease, cancer, and mortality: prospective cohort study
- (2017) Carlos A Celis-Morales et al. BMJ-British Medical Journal
- Association between active commuting and incident cardiovascular disease, cancer, and mortality: prospective cohort study
- (2017) Carlos A Celis-Morales et al. BMJ-British Medical Journal
- Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study
- (2017) Mehdi Menai et al. Scientific Reports
- Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification
- (2016) KATHERINE ELLIS et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Performance of Activity Classification Algorithms in Free-Living Older Adults
- (2016) JEFFER EIDI SASAKI et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Objective Assessment of Physical Activity
- (2016) JACQUELINE KERR et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Estimation of Physical Activity Energy Expenditure during Free-Living from Wrist Accelerometry in UK Adults
- (2016) Tom White et al. PLoS One
- Sleep Duration and Risk of Type 2 Diabetes: A Meta-analysis of Prospective Studies
- (2015) Zhilei Shan et al. DIABETES CARE
- UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
- (2015) Cathie Sudlow et al. PLOS MEDICINE
- A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer
- (2015) Vincent T. van Hees et al. PLoS One
- Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot
- (2015) Paul Kelly et al. PLoS One
- Association Between Questionnaire- and Accelerometer-Assessed Physical Activity: The Role of Sociodemographic Factors
- (2014) S. Sabia et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Evolution of accelerometer methods for physical activity research
- (2014) Richard P Troiano et al. BRITISH JOURNAL OF SPORTS MEDICINE
- A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer
- (2014) Henri Vähä-Ypyä et al. CLINICAL PHYSIOLOGY AND FUNCTIONAL IMAGING
- Systematic review and meta-analysis of reduction in all-cause mortality from walking and cycling and shape of dose response relationship
- (2014) Paul Kelly et al. International Journal of Behavioral Nutrition and Physical Activity
- Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry
- (2014) Inácio CM da Silva et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents
- (2014) Vincent T. van Hees et al. JOURNAL OF APPLIED PHYSIOLOGY
- A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers
- (2014) Katherine Ellis et al. PHYSIOLOGICAL MEASUREMENT
- Wearable Cameras in Health
- (2013) Aiden R. Doherty et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- An Ethical Framework for Automated, Wearable Cameras in Health Behavior Research
- (2013) Paul Kelly et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Using the SenseCam to Improve Classifications of Sedentary Behavior in Free-Living Settings
- (2013) Jacqueline Kerr et al. AMERICAN JOURNAL OF PREVENTIVE MEDICINE
- Guide to the Assessment of Physical Activity: Clinical and Research Applications
- (2013) Scott J. Strath et al. CIRCULATION
- Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity
- (2013) Aiden R Doherty et al. International Journal of Behavioral Nutrition and Physical Activity
- Impact of study design on development and evaluation of an activity-type classifier
- (2013) Vincent T. van Hees et al. JOURNAL OF APPLIED PHYSIOLOGY
- Classification Accuracy of the Wrist-Worn Gravity Estimator of Normal Everyday Activity Accelerometer
- (2013) WHITNEY A. WELCH et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Activity Recognition Using a Single Accelerometer Placed at the Wrist or Ankle
- (2013) ANDREA MANNINI et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis
- (2012) E. G. Wilmot et al. DIABETOLOGIA
- Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy
- (2012) I-Min Lee et al. LANCET
- 2011 Compendium of Physical Activities
- (2011) BARBARA E. AINSWORTH et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Comparative Validity of Physical Activity Measures in Older Adults
- (2010) LISA H. COLBERT et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
- (2009) John Staudenmayer et al. JOURNAL OF APPLIED PHYSIOLOGY
- Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer
- (2009) A. G. Bonomi et al. JOURNAL OF APPLIED PHYSIOLOGY
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