The research work of Electrical Engineering faculty member Dr. Usman on using speech as a biomedical signal to detect COVID-19 has received international recognition. The fundamental idea behind the research is to identify variations in speech signal characteristics as a result of COVID-19 infection using artificial intelligence (AI) and machine learning. Once developed, the AI model can be incorporated into a smartphone app, which can detect COVID-19 by analyzing a person’s speech. The fundamental idea behind this research can be extended to smart healthcare, remote monitoring and diagnosis.
The research idea has been recognized in IEEE Spectrum (The Institute) at the following link
and is also announced on the website of IEEE Signal Processing Society at the following link
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