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Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare

Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare

Sima Das, Ahona Ghosh, Sriparna Saha
Copyright: © 2024 |Pages: 20
ISBN13: 9798369336793|EISBN13: 9798369336809
DOI: 10.4018/979-8-3693-3679-3.ch011
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MLA

Das, Sima, et al. "Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare." Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications, edited by Alex Khang, IGI Global, 2024, pp. 178-197. https://doi.org/10.4018/979-8-3693-3679-3.ch011

APA

Das, S., Ghosh, A., & Saha, S. (2024). Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare. In A. Khang (Ed.), Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications (pp. 178-197). IGI Global. https://doi.org/10.4018/979-8-3693-3679-3.ch011

Chicago

Das, Sima, Ahona Ghosh, and Sriparna Saha. "Internet of Things-Combined Deep Learning for Electroencephalography-Based E-Healthcare." In Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications, edited by Alex Khang, 178-197. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3679-3.ch011

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Abstract

Deep Learning (DL) is the most popular subset of machine learning, with many applications in healthcare and other areas. On the other hand, electroencephalography has effectively solved different brain activity-related healthcare applications. This non-invasive data collection method can monitor and diagnose brain-based health conditions as it is painless and safe. This chapter discusses different smart healthcare applications of DL. Different DL models applied in the existing literature have been described also, from which future researchers will benefit by having a clear insight into the concerned area. Then a smart health framework has been proposed where step by step-by-step process of designing the system has been presented using the Internet of Things (IoT) combined with DL.

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