Affiliation:
1. Department of Physics, Faculty of Education, University of Misan, Maysan 62001, Iraq
2. Faculty of Basic Education, University of Misan, Maysan 62001, Iraq
3. Department of Computer Engineering, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Maysan 10011, Iraq
Abstract
Current advancements in the technology of the Internet of Things (IoT) have led to the proliferation of various applications in the healthcare sector that use IoT. Recently, it has been shown that voice signal data of the respiratory system (i.e., breathing, coughing, and speech) can be processed through machine learning techniques to detect different diseases of this system such as COVID-19, considered an ongoing global pandemic. Therefore, this paper presents a new IoT framework for the identification of COVID-19 based on breathing voice samples. Using IoT devices, voice samples were captured and transmitted to the cloud, where they were analyzed and processed using machine learning techniques such as the naïve Bayes (NB) algorithm. In addition, the performance of the NB algorithm was assessed based on accuracy, sensitivity, specificity, precision, F-Measure, and G-Mean. The experimental findings showed that the proposed NB algorithm achieved 82.97% accuracy, 75.86% sensitivity, 94.44% specificity, 95.65% precision, 84.61% F-Measure, and 84.64% G-Mean.
Reference50 articles.
1. Speech technology for healthcare: Opportunities, challenges, and state of the art;Latif;IEEE Rev. Biomed. Eng.,2020
2. Kanase, N.V., Pangoankar, S.A., and Panat, A.R. (2021). Advances in Signal and Data Processing, Springer.
3. IoT-based applications in healthcare devices;Pradhan;J. Healthc. Eng.,2021
4. Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain;Islam;IEEE Internet Things J.,2022
5. A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms;Latiff;IEEE Access,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献