| You are in:Home/Publications/EEG Based Imaging of Stroke Location, Extent and Progress of Recovery Using a GPU Architecture | |
Dr. Mohamed Fawzy Ibrahim Issa :: Publications: |
|
| Title: | EEG Based Imaging of Stroke Location, Extent and Progress of Recovery Using a GPU Architecture |
| Authors: | Zoltan Juhasz, MF Issa |
| Year: | 2019 |
| Keywords: | Not Available |
| Journal: | Not Available |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
This paper describes a new EEG-based imaging method that can depict the location and extent of stroke lesions similar to MRI scans. The ratio of delta and alpha band powers as well as a modified brain symmetry index is used with high-density EEG technology for generating topographical maps. Calculations are implemented on a GPU card achieving real-time processing speed making the method usable for continuous patient monitoring. The maps can help in verifying treatment effectiveness as well as measuring progress of recovery. |
