Monitoring Knee Osteoarthritis Symptoms Using Sensor Technology
Overview
This scoping review identifies and maps objective digital markers for monitoring knee osteoarthritis symptoms in natural environments.
Background
Knee osteoarthritis is a common degenerative joint disease that significantly impacts the quality of life, particularly in older adults. Traditional assessment methods often fail to capture the dynamic nature of symptoms, necessitating the exploration of objective monitoring technologies. Wearable sensors present a promising avenue for continuous data collection.
Data Highlights
No numerical data or trial data were provided in the article.
Key Findings
Knee osteoarthritis affects 10%-15% of individuals aged 60 and older globally.
Traditional assessment methods are limited by recall bias and provide only a snapshot of symptoms.
Wearable sensors can collect objective data on physiological and biomechanical markers related to knee osteoarthritis.
There is a need for a comprehensive synthesis of digital markers to effectively capture symptom variability.
Clinical Implications
The integration of wearable sensor technologies could enhance the monitoring of knee osteoarthritis symptoms.
Conclusion
The review emphasizes the importance of identifying and validating digital markers for knee osteoarthritis.
