A Machine Learning Approach for Physical Activity Recognition in Cystic Fibrosis

The impact of ActiGraph’s low-frequency extension filter on measurement of children’s physical activity

(2022) Patrick M. Filanowski et al.   JOURNAL OF SPORTS SCIENCES

Using Accelerometers to Detect Activity Type in a Sport Setting: Challenges with Using Multiple Types of Conventional Machine Learning Approaches

(2022) Karin A. Pfeiffer et al.   Measurement in Physical Education and Exercise Science

Calibration and Cross-validation of Accelerometry in Children and Adolescents with Cystic Fibrosis

(2022) Mayara S. Bianchim et al.   Measurement in Physical Education and Exercise Science

Sleep, Sedentary Time and Physical Activity Levels in Children with Cystic Fibrosis

(2022) Mayara S. Bianchim et al.   International Journal of Environmental Research and Public Health

Comparison of Accelerometry-Based Measures of Physical Activity: Retrospective Observational Data Analysis Study

(2022) Marta Karas et al.   JMIR mHealth and uHealth

Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults

(2021) Jairo H. Migueles et al.   SENSORS

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living

(2020) Saifur Rahman et al.   International Journal of Environmental Research and Public Health

From Bits of Data to Bits of Knowledge—An On-Board Classification Framework for Wearable Sensing Systems

(2020) Pawel Zalewski et al.   SENSORS

Cross-Generational Comparability of Raw and Count-Based Metrics from ActiGraph GT9X and wGT3X-BT Accelerometers during Free-Living in Youth

(2020) Kimberly A. Clevenger et al.   Measurement in Physical Education and Exercise Science

Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement

(2019) Brian L. Graham et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer

(2018) Alexander H. K. Montoye et al.   JOURNAL OF APPLIED PHYSIOLOGY

A Youth Compendium of Physical Activities

(2018) NANCY F. BUTTE et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Sensor-enabled Activity Class Recognition in Preschoolers

(2018) STEWART G. TROST et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy

(2018) Matthew Ahmadi et al.   Journal of NeuroEngineering and Rehabilitation

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

(2017) Max A Little et al.   GigaScience

Wear Compliance and Activity in Children Wearing Wrist- and Hip-Mounted Accelerometers

(2016) STUART J. FAIRCLOUGH et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Validation of Accelerometer Prediction Equations in Children with Chronic Disease

(2016) Samantha Stephens et al.   PEDIATRIC EXERCISE SCIENCE

Investigating optimal accelerometer placement for energy expenditure prediction in children using a machine learning approach

(2016) K A Mackintosh et al.   PHYSIOLOGICAL MEASUREMENT

Skeletal muscle oxidative capacity in patients with cystic fibrosis

(2015) Melissa L. Erickson et al.   EXPERIMENTAL PHYSIOLOGY

Exploring Metrics to Express Energy Expenditure of Physical Activity in Youth

(2015) Robert G. McMurray et al.   PLoS One

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

Machine learning for activity recognition: hip versus wrist data

(2014) Stewart G Trost et al.   PHYSIOLOGICAL MEASUREMENT

Quality of life is associated with physical activity and fitness in cystic fibrosis

(2014) Helge Hebestreit et al.   BMC Pulmonary Medicine

The process and utility of classification and regression tree methodology in nursing research

(2013) Lisa Kuhn et al.   JOURNAL OF ADVANCED NURSING

Infection, inflammation and exercise in cystic fibrosis

(2013) Pauline Barbera van de Weert-van Leeuwen et al.   RESPIRATORY RESEARCH

A weighted random forests approach to improve predictive performance

(2013) Stacey J. Winham et al.   Statistical Analysis and Data Mining

Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations

(2012) Philip H. Quanjer et al.   EUROPEAN RESPIRATORY JOURNAL

Artificial Neural Networks to Predict Activity Type and Energy Expenditure in Youth

(2012) STEWART G. TROST et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Exercise as part of a cystic fibrosis therapeutic routine

(2012) Sarah Rand et al.   Expert Review of Respiratory Medicine

Recognition of activities in children by two uniaxial accelerometers in free-living conditions

(2011) N. Ruch et al.   EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY

Identification of Children's Activity Type with Accelerometer-Based Neural Networks

(2011) SANNE I. DE VRIES et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Best Practices for Using Physical Activity Monitors in Population-Based Research

(2011) CHARLES E. MATTHEWS et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Calibration and Validation of Wearable Monitors

(2011) DAVID R. BASSETT et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Monitoring Respiratory Disease Severity in Cystic Fibrosis

(2009) Jane C Davies   Respiratory Care

Assessing Validity and Reliability of Resting Metabolic Rate in Six Gas Analysis Systems

(2008) Jamie A. Cooper et al.   JOURNAL OF THE AMERICAN DIETETIC ASSOCIATION