Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analyzing Sensor-Based Time Series Data to Track Changes in Physical Activity during Inpatient Rehabilitation
Authors
Keywords
-
Journal
SENSORS
Volume 17, Issue 10, Pages 2219
Publisher
MDPI AG
Online
2017-09-27
DOI
10.3390/s17102219
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I
- (2017) Soren Leth et al. SENSORS
- Using Smart Homes to Detect and Analyze Health Events
- (2016) Gina Sprint et al. COMPUTER
- Unsupervised detection and analysis of changes in everyday physical activity data
- (2016) Gina Sprint et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Continuous daily assessment of multiple sclerosis disability using remote step count monitoring
- (2016) V. J. Block et al. JOURNAL OF NEUROLOGY
- Validation of Consumer-Based Hip and Wrist Activity Monitors in Older Adults With Varied Ambulatory Abilities
- (2016) Theresa A. Floegel et al. JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
- Use of a Fitness Tracker to Promote Physical Activity in Children With Acute Lymphoblastic Leukemia
- (2016) Mary C. Hooke et al. PEDIATRIC BLOOD & CANCER
- Validation of Fitbit-Flex as a measure of free-living physical activity in a community-based phase III cardiac rehabilitation population
- (2016) Muaddi Alharbi et al. European Journal of Preventive Cardiology
- Modeling patterns of activities using activity curves
- (2016) Prafulla N. Dawadi et al. Pervasive and Mobile Computing
- Wearable Monitoring of Physical Functioning and Disability Changes, Circadian Rhythms and Sleep Patterns in Nursing Home Residents
- (2016) Juho Merilahti et al. IEEE Journal of Biomedical and Health Informatics
- Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions
- (2016) Gregory M Dominick et al. JMIR mHealth and uHealth
- Accuracy of Heart Rate Watches: Implications for Weight Management
- (2016) Matthew P. Wallen et al. PLoS One
- Wearable motion sensors to continuously measure real-world physical activities
- (2013) Bruce H. Dobkin CURRENT OPINION IN NEUROLOGY
- Change-point detection in time-series data by relative density-ratio estimation
- (2013) Song Liu et al. NEURAL NETWORKS
- Accuracy of 2 Activity Monitors in Detecting Steps in People With Stroke and Traumatic Brain Injury
- (2013) G. D. Fulk et al. PHYSICAL THERAPY
- Activity Density Map Visualization and Dissimilarity Comparison for Eldercare Monitoring
- (2012) Shuang Wang et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Sensor-Based Activity Recognition
- (2012) Liming Chen et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- The International Physical Activity Questionnaire modified for the elderly: aspects of validity and feasibility
- (2010) Anita Hurtig-Wennlöf et al. PUBLIC HEALTH NUTRITION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started