Recognizable Proof of Relationships with Image Approaches in Ischemic Stroke Utilizing Computed Tomography (CT) and Electroencephalogram (EEG)

Febri Faresi, Sastra Kusuma Wijaya, Prawito Prajitno, Nurhadi Ibrahim

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

Abstract

The current paper focuses on correlating the region of ischemic stroke based on CT-scan and EEG image visualization, approaching using Brainstorm and BSI on each pair. Ischemic stroke occurs when the flow of blood containing oxygen and supplements to the brain is blocked, causing the body to break down. In arrange to identify stroke, we generally use CT and MRI, which have succeeded in determining the location with high accuracy. The factor is the high price of CT-scan or MRI, so we want to find another alternative with a low-cost and practical approach to using EEG. The most recent research on EEG in detecting stroke uses a signal processing approach based on time series and frequency to obtain abnormalities from the signal graph with the initial suspicion of blockage of blood vessels within the brain. Research is related to finding indications of stroke by using the brain symmetry index, which is to find the symmetry value of the relationship between the two-sided electrode locations. This study uses a signal processing approach to become an image with the help of the Brainstorm toolbox software released by the University of Southern California. The data used came from patients who experienced stroke symptoms with fewer than 72 hours. The current inquires about the investigation is based on recognizing the electrical current density in a data grouping based on the region of interest on the cortical surface in ischemic stroke conditions. All the patients were examined for ischemic stroke based on CT, which experts analyzed from the National Brain Center Hospital. Data processing is done by calculating the Brain Symmetry Index (BMI) and visualizing the data with Brainstorm on each EEG data. These results explain a correlation between expert CT-scan diagnoses to BMI values and are supported by data visualization using Brainstorm.

Original languageEnglish
Title of host publication6th Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices
Subtitle of host publicationProceedings of the 6th International Symposium of Biomedical Engineering, ISBE 2021
EditorsSiti Fauziyah Rahman, Ahmad Zakiyuddin, Yudan Whulanza, Nurul Intan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735443716
DOIs
Publication statusPublished - 16 Aug 2022
Event6th International Symposium of Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2021 - Depok, Virtual, Indonesia
Duration: 7 Jul 20218 Jul 2021

Publication series

NameAIP Conference Proceedings
Volume2537
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference6th International Symposium of Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2021
Country/TerritoryIndonesia
CityDepok, Virtual
Period7/07/218/07/21

Keywords

  • BMI
  • Brainstorm
  • cortical surface
  • CT-scan
  • EEG
  • Ischemic stroke
  • MRI

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