Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports-Reference-Cited by-同舟云学术

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Real-Time Disease and COVID-19 Detection Pipeline from Voice for Performance Sports

Published:2023-10-01 Issue: Volume:79 Page:2309-2314
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Biró Attila¹,Cuesta-Vargas Antonio Ignacio²,Szilágyi Sándor Miklós¹

Affiliation:

1. George Emil Palade University of Medicine, Phar-macy, Science, and Technology of Targu Mures,Department of Electrical Engineering and Information Technology,Targu Mures,Romania,540088

2. University of Malaga,Department of Physiotherapy,Malaga,Spain,29071

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394396.pdf?arnumber=10394396

Reference29 articles.

1. Joint Learning for Voice Based Disease Detection

2. Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

3. Joint learning for voice based disease detection

4. Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review

5. Cognitive plausibility in voice-based AI health counselors

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