Use of Wearable Healthcare Devices by US adults: Patterns of Use and Key Predictors (Preprint)

Machine learning algorithms can use wearable sensor data to accurately predict 6-week patient reported outcome scores following joint replacement in a prospective trial.

(2019) Stefano A. Bini et al.   JOURNAL OF ARTHROPLASTY

The antecedents and results of seniors’ use of activity tracking wearable devices

(2019) Mohamed Abouzahra et al.   Health Policy and Technology

A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data

(2019) Yiwen Meng et al.   IEEE Journal of Biomedical and Health Informatics

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exercise: Wearable activity trackers in cardiovascular research

(2018) Ivone Leong   Nature Reviews Endocrinology

Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

(2018) Eliasz Kańtoch   SENSORS

Use of wearable activity trackers to improve physical activity behavior in rheumatic and musculoskeletal diseases: A systematic review and meta-analysis

(2018) Thomas Davergne et al.   ARTHRITIS CARE & RESEARCH

Using Physical Activity Trackers in Arthritis Self-Management: A Qualitative Study of Patient and Rehabilitation Professional Perspectives

(2018) Jenny Leese et al.   ARTHRITIS CARE & RESEARCH

Privacy Issues and Solutions for Consumer Wearables

(2017) Alfredo Perez et al.   IT Professional

The promising future of healthcare services: When big data analytics meets wearable technology

(2016) Jing Wu et al.   INFORMATION & MANAGEMENT

Wearable Devices as Facilitators, Not Drivers, of Health Behavior Change

(2015) Mitesh S. Patel et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION