Smart Health Project
Areas of Interests
Sensor Fusion and Remote Medicine
- Rehabilitation
- Sport Medicine
- Tele-health
- Activity Tracking
Data-driven Precision Health
- Clinical Trial Matching
- Hospital Discharge
- Applications Development
- Digital Twins
Remote Rehabilitation
mStroke
Real-Time Quantitative Assessment of Stroke Rehabilitation - Using Wireless Sensors
Predicting Risk of Injury after Concussion
- Smart phone test for reaction time
- Eye-tracking activated Flanker test
- EEG headset to track brain activity
- Overall body motion tracking using Trazer
- Injury history and wellness surveys
- Timely assessment of subtle impairment is essential in concussion management
- Portable recording devices enable large-scale, on the field recording
- UTC MOCS football team
- 12 Chattanooga high-school football
- Predictive analysis using multiple data sources and injury history
An Application for Technical and Clinical Evaluation
- Increase Training Efficiency
- Optimize Hospital operation with improved training
- App test case in the surgery department
- Hope to expand to other department
RES APP
- Interactive app to give real-time feedback to residents and faculties
- In app notifications and color-coded scores.
- Additional functionalities for exporting reviews and plotting the evaluation results is planned in future releases.
Cancer clinical trial matching using medical descriptions text mining
Hospital Discharge Disposition of Stroke Patients in Tennessee
- CMS data set
- Predict patient characteristics associated with high risk of facility discharge
- Optimize acute care
- Reduce costs for stroke management