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:: چکیده سخنرانی


The Sound of Health


Mohammad-R. Akbarzadeh-T.

Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad

 

Abstract

The recent Covid19 pandemic gave modern technologies an opportunity to showcase their relevance in serving humanity. The unprecedented availability of inexpensive processing power, wide-scaled network connectivity, and the extraordinary variety of sensing devices enabled many to work remotely, study in virtual classrooms, and buy their necessary everyday goods without leaving home. Nevertheless, the pandemic caused many patients to avoid hospitals and medical facilities when they needed it the most. It also contaminated many patients who did seek help but were healthy otherwise. Telemedicine, a relatively well-established concept long before the pandemic, shows great potential in this regard.

In this talk, I will present the utility of sound, particularly the human voice, as the means for inexpensive and readily available telemedicine technology for remote medical screening. Besides a great utility during pandemics, this means that it could offer increased accessibility to a wide range of underprivileged patients in far and remote areas. However, realistic constraints of low-quality microphones and the narrow bandwidth of transmission lines present significant challenges in this process. The available features are also many, their signal is noisy, and there is considerable uncertainty in mapping these features with the disease. This leads us to the role of intelligent systems for automatic screening, such as fuzzy logic for feature selection and deep neural network structures for signal classification. In particular, I hope to review our recent work in this domain using intelligent feature selection, classification, and testing/training strategy in diagnosing Diseases such as Parkinson’s, Covid29, and several other lung diseases.
 

 


Mohammad-R. Akbarzadeh-T. (Ph.D. University of New Mexico (UNM), 1998) is currently a professor and director of the Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Electrical Engineering Department, Ferdowsi University of Mashhad. From 1996-2003, he was also with the NASA Center for Autonomous Control Engineering at UNM. In 2006 and 2017, he was also with the Berkeley Initiative on Soft Computing (BISC), UC Berkeley as a visiting scholar. In 2007, he also served as a consulting faculty at the Department of Aerospace and Aeronautic Engineering, Purdue University.

Prof. Akbarzadeh is the founding president of the Intelligent Systems Scientific Society of Iran, the founding councilor representing the Iranian Coalition on Soft Computing in IFSA, an IEEE senior member, and the founding faculty councilor of the IEEE student branch until 2008. He has received several awards, including the Caro Lucas Life Achievement Award from the IEEE Iran Section in 2021, the Outstanding Faculty Award from Ferdowsi Academic Foundation in 2021, the National Outstanding Faculty Award in 2019, and the IDB Excellent Leadership Award in 2010. He has also won the FUM university’s Outstanding Faculty Award three times. His research interests are bio-inspired computing/optimization, fuzzy logic and control, soft computing, multi-agent systems, complex systems, robotics, cognitive sciences, and medical informatics. He has published over 450 peer-reviewed articles in these and related research fields.

نمایه IEEE





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