Initial Design of Wearable EEG Device for Epilepsy Patient Using Machine Learning and Mobile Application

F. Fahmi*, Wervyan Shalannanda, Muhammad Yazid, Erwin Sutanto

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Epilepsy is a neural tissue disease that affects many patients worldwide, including in developing countries. A person who has epilepsy can easily experience attacks suddenly and at any time, making it difficult to carry out daily activities. Early medical diagnosis and treatment are essential to help people with epilepsy. The system developed in this study assists significantly in collecting data on the patient's nervous condition to obtain accurate data as the basis for medical diagnosis by doctors. It was difficult before to do it in the current system, where detecting epileptic seizures requires manual observation of patient videos. A wearable EEG device combined with the mobile application reduces the patient's burden because they don't have to stay in one place during the EEG data collection. Furthermore, the machine learning method developed in this study helped doctors identify the predictive time and pattern of an epileptic attack more accurately and thoroughly.

Original languageEnglish
Title of host publication2023 IEEE International Conference of Computer Science and Information Technology
Subtitle of host publicationThe Role of Artificial Intelligence Technology in Human and Computer Interactions in the Industrial Era 5.0, ICOSNIKOM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350360752
DOIs
Publication statusPublished - 2023
Event7th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2023 - Hybrid, Binjia, Indonesia
Duration: 10 Nov 202311 Nov 2023

Publication series

Name2023 IEEE International Conference of Computer Science and Information Technology: The Role of Artificial Intelligence Technology in Human and Computer Interactions in the Industrial Era 5.0, ICOSNIKOM 2023

Conference

Conference7th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2023
Country/TerritoryIndonesia
CityHybrid, Binjia
Period10/11/2311/11/23

Keywords

  • Brain waves
  • EEG
  • Machine Learning
  • Mobile
  • epilepsy

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