Wearable sensors to predict improvement following an exercise intervention in patients with knee osteoarthritis
Abstract Background Muscle strengthening exercises consistently demonstrate improvements in the pain and function of adults with knee osteoarthritis, but individual response rates can vary greatly. Identifying individuals who are more likely to respond is important in developing more efficient rehab...
Main Authors: | Dylan Kobsar, Sean T. Osis, Jeffrey E. Boyd, Blayne A. Hettinga, Reed Ferber |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-09-01
|
Series: | Journal of NeuroEngineering and Rehabilitation |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12984-017-0309-z |
Similar Items
-
Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach
by: Dylan Kobsar, et al.
Published: (2018-08-01) -
Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
by: Dylan Kobsar, et al.
Published: (2020-12-01) -
Wearable Flexible Phototherapy Device for Knee Osteoarthritis
by: Kun Liu, et al.
Published: (2021-08-01) -
Accelerometer-based step regularity is lower in older adults with bilateral knee osteoarthritis
by: John Mark Barden, et al.
Published: (2016-12-01) -
Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis
by: Kun-Hui Chen, et al.
Published: (2015-02-01)