Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living

Interrogation of Patient Smartphone Activity Tracker to Assist Arrhythmia Management

(2016) Joshua Rudner et al.   ANNALS OF EMERGENCY MEDICINE

Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications

(2016) Toru Nakamura et al.   PROCEEDINGS OF THE IEEE

Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors

(2016) Marco Altini et al.   IEEE Journal of Biomedical and Health Informatics

Validation of the Hexoskin wearable vest during lying, sitting, standing, and walking activities

(2015) Rodrigo Villar et al.   Applied Physiology Nutrition and Metabolism

Estimating Energy Expenditure from Heart Rate in Older Adults: A Case for Calibration

(2014) Jennifer A. Schrack et al.   PLoS One

Clinical Recommendations for Cardiopulmonary Exercise Testing Data Assessment in Specific Patient Populations

(2012) Marco Guazzi et al.   CIRCULATION

Using Cadence to Study Free-Living Ambulatory Behaviour

(2012) Catrine Tudor-Locke et al.   SPORTS MEDICINE

Relationship between oxygen consumption kinetics and BODE Index in COPD patients

(2012) Audrey Borghi-Silva et al.   International Journal of Chronic Obstructive Pulmonary Disease

Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers

(2010) Andrea Mannini et al.   SENSORS

Oxygen uptake kinetics: historical perspective and future directions

(2009) Richard L. Hughson   Applied Physiology Nutrition and Metabolism

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

Transient and steady state estimation of human oxygen uptake based on noninvasive portable sensor measurements

(2009) Steven W. Su et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING