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A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary
Cuong V Nguyen1, Truong Le Quang1, Trung Nguyen Vu2,3
1School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, 100000, Viet Nam.
Informatics in Medicine Unlocked
|April 15, 2020
Summary
A novel infection screening system accurately detects infectious diseases using vital signs from medical radar. This low-cost, non-contact system achieves high sensitivity and specificity, benefiting public health centers.
Area of Science:
- Biomedical Engineering
- Medical Informatics
- Signal Processing
Background:
- Infectious disease detection is crucial for public health.
- Existing screening methods may lack accuracy due to demographic variability (age, gender).
- There is a need for low-cost, non-contact, and embedded health monitoring solutions.
Purpose of the Study:
- To develop an infection screening system using medical radar vital signs.
- To address accuracy variations related to patient age and gender.
- To implement the system on a Field Programmable Gate Array (FPGA) for a low-cost, embedded solution.
Main Methods:
- Vital signs (heart rate, respiratory rate, heart beat-to-beat interval variability) were measured using medical radar.
- Digital signal processing involved Butterworth filters and peak detection algorithms, with age/gender-adjusted cut-off frequencies.
- Machine learning models, including Support Vector Machine and Quadratic Discriminant Analysis, were employed for data classification.
Main Results:
- Digital signal processing algorithms effectively handled age and gender variability.
- The machine learning models achieved an f1-score of approximately 98.0%, indicating high sensitivity and specificity.
- Student's t-test confirmed the robustness of the signal processing techniques.
Conclusions:
- An effective infection screening system was successfully implemented.
- The system demonstrates potential for rapid screening of infectious diseases in resource-limited settings.
- This technology could improve healthcare accessibility in underdeveloped areas.
