Improving energy expenditure estimates from wearable devices: A machine learning approach

Energy Intake Derived from an Energy Balance Equation, Validated Activity Monitors, and Dual X-Ray Absorptiometry Can Provide Acceptable Caloric Intake Data among Young Adults

(2018) Robin P Shook et al.   JOURNAL OF NUTRITION

Assessment of the Fitbit Charge 2 for monitoring heart rate

(2018) Simone Benedetto et al.   PLoS One

Accuracy of wrist-worn activity monitors during common daily physical activities and types of structured exercise (Preprint)

(2018) Ravi Reddy et al.   JMIR mHealth and uHealth

Accuracy and Precision of the COSMED K5 Portable Analyser

(2018) Ismael Perez-Suarez et al.   Frontiers in Physiology

Comparative evaluation of heart rate-based monitors: Apple Watch vs Fitbit Charge HR

(2017) Yang Bai et al.   JOURNAL OF SPORTS SCIENCES

Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise

(2017) STEPHEN GILLINOV et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data

(2017) Alexander H K Montoye et al.   PHYSIOLOGICAL MEASUREMENT

Reliability of resting metabolic rate measurements in young adults: Impact of methods for data analysis

(2017) Guillermo Sanchez-Delgado et al.   CLINICAL NUTRITION

Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors

(2017) Enhad A. Chowdhury et al.   PLoS One

TRACK IT

(2016) Jung-Min Lee et al.   ACSMS HEALTH & FITNESS JOURNAL

Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake

(2015) Arjun Sanghvi et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

Modelling the associations between fat-free mass, resting metabolic rate and energy intake in the context of total energy balance

(2015) M Hopkins et al.   INTERNATIONAL JOURNAL OF OBESITY

Validity of Consumer-Based Physical Activity Monitors

(2014) JUNG-MIN LEE et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

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

Energy expenditure by multisensor armband in overweight and obese lactating women validated by doubly labeled water

(2013) F. Slinde et al.   Obesity

Energy Expenditure Evaluation in Humans and Non-Human Primates by SenseWear Armband. Validation of Energy Expenditure Evaluation by SenseWear Armband by Direct Comparison with Indirect Calorimetry

(2013) Francesca Casiraghi et al.   PLoS One

Approaches for quantifying energy intake and %calorie restriction during calorie restriction interventions in humans: the multicenter CALERIE study

(2011) Susan B. Racette et al.   AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM

A computational model to determine energy intake during weight loss

(2010) Diana M Thomas et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

Accuracy of Armband Monitors for Measuring Daily Energy Expenditure in Healthy Adults

(2010) DARCY L. JOHANNSEN 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

A new 2-regression model for the Actical accelerometer

(2007) S E Crouter et al.   BRITISH JOURNAL OF SPORTS MEDICINE