An Industry Internet of Things Framework for Epilepsy Detection, Monitoring, and Control

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Author(s): Smitha Sasi (Dayananda Sagar College of Engineering, India)and Srividya B. V. (Dayanandasagar College of Engineering, India)
Copyright: 2022
Pages: 18
Source title: Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies
Source Author(s)/Editor(s): Shweta Gupta (Jain University, Bengaluru, India)
DOI: 10.4018/978-1-7998-9534-3.ch014

Keywords: Algorithms / Computer Science & IT / Medical Engineering / Medical Information Science Reference

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Abstract

Epilepsy is long-term neurological seizures of various types, some of which are defined by involuntary repetitive convulsions and have a substantial impact on patients' everyday lives. Several approaches for diagnosing these types of seizures and observing the patient have been proposed in the literature; however, these approaches fall short in terms of ergonomics and proper integration with the health system. The precision measuring that this study looks into shows what an epileptic detection and monitoring tool should be able to do. This chapter describes specific epilepsy detection and monitoring platforms that specify the conditions. The information is gathered from the wearable part of the system.

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An Industry Internet of Things Framework for Epilepsy Detection, Monitoring, and Control

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