About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
Advanced Magnetic Materials for Energy and Power Conversion Applications
|
Presentation Title |
Magnetic Real-time Tracking of Coronavirus Progress: A New Approach Utilizing Magnetic Sensor and Machine Learning |
Author(s) |
Manh-Huong Phan |
On-Site Speaker (Planned) |
Manh-Huong Phan |
Abstract Scope |
To limit the spread of Corona virus 2019 (COVID-19) and help doctors in clinical decision-making, the detection and real-time monitoring of their symptoms and growth at all (early, intermediate and severe) states is critical. Common symptoms of COVID-19 include: (i) shortness of breath or difficulty breathing, (ii) cough and (iii) fever. Current detectors provide limited information and possess lengthy processing time, or are physically contacted to patients. Therefore, there is an urgent need for developing contactless devices that enable early and fast detection of COVID-19 and track their growth rates in real time. In this talk, we show how to integrate an ultra-sensitive magnetic sensor technology with machine learning to develop an innovative, contactless diagnostic device that can sense the breathing symptoms of COVID-19 at multiple stages of disease progress and provide crucial information on the growth rate by patient of this deadly virus. |
Proceedings Inclusion? |
Planned: |
Keywords |
Magnetic Materials, Machine Learning, Other |