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Data Vizualization Dashboards in Robotic Rehabilitation
Christina Liakopoulou1, Marjan Mansourvar1, Anders Bøglid1
1Centre of Health Informatics and Technology, The Maersk Mc-Kinney Moller, Institute, University of Southern Denmark, Odense, Denmark.
This study introduces visualization dashboards for robotic rehabilitation, allowing patients to track their exerted force progress. These tools offer personalized insights into training achievements and recovery milestones.
Area of Science:
- Rehabilitation Engineering
- Data Visualization
- Human-Computer Interaction
Background:
- Robotic rehabilitation systems offer significant potential for enhancing physiotherapy and patient recovery.
- Visualizing rehabilitation data can provide deeper insights into patient progress and training effectiveness.
- Current methods may lack detailed, session-by-session progress tracking for patients.
Purpose of the Study:
- To develop and present prototype dashboards for analyzing and visualizing data from robotic rehabilitation.
- To enable patients to monitor their exerted force progress throughout their rehabilitation training.
- To offer a personalized overview of rehabilitation achievements and performance metrics.
Main Methods:
- Development of prototype visualization dashboards tailored for robotic rehabilitation data.
- Integration of patient-specific datasets to populate the dashboards.
- Design of timeline presentations for key performance indicators like exerted force and progress.
Main Results:
- The created visualization dashboards effectively present achieved measurements and patient progress.
- Dashboards provide a clear timeline view of maximum force exerted during training sessions.
- The prototypes demonstrated utility in offering personalized overviews of rehabilitation data.
Conclusions:
- Visualization dashboards are essential tools for analyzing and presenting robotic rehabilitation data.
- Personalized data visualization can empower patients by providing clear insights into their progress.
- The proposed dashboards enhance the understanding of factors contributing to successful rehabilitation outcomes.
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