System Performance and User Feedback Regarding Wearable Bioimpedance System for Multi-Site Knee Tissue Monitoring:...

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Wearable Sensors

Background:

• Knee-focused wearable devices offer potential for personalized rehabilitation by monitoring tissue changes.
• Ensuring data reliability and accuracy in unsupervised, free-living conditions is a significant challenge for wearables.
• Wearable sensor systems require evaluation for performance and user experience to guide future development.

Purpose of the Study:

• To assess the system performance of a knee-focused wearable sensor.
• To evaluate user experiences, including comfort, fit, and usability.
• To establish realistic targets for reliable data collection in free-living settings.

Main Methods:

• A pilot study involving five healthy adult participants over two days.
• Collection of data using a knee-focused wearable sensor system.
• Quantification of system performance (operation, data artifacts) and user feedback.

Main Results:

• Artifact-free data rates of 84.5% for longitudinal and 35.9% for transverse electrode configurations were achieved.
• User experience data was collected to inform future design improvements for usability and adoption.
• Positive correlations were found between resistance, temperature, humidity, and acceleration, suggesting contextual insights.

Conclusions:

• The knee wearable sensor system shows potential for rehabilitation but requires optimization for data reliability.
• User feedback is crucial for enhancing the design and adoption of knee-focused wearables.
• The system can provide valuable insights into the relationship between knee tissues, environment, and activity.