Exploring the Potential of Electroencephalography (EEG) Signals for Diagnosing and Treating Neurological Illnesses: A Study Using Arc EEG Machine

Authors : Ola Marwan Assim; Ahlam Fadhil Mahmood

Volume/Issue : Volume 8 - 2023, Issue 7 - July

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/3ufw2mpz

DOI : https://doi.org/10.5281/zenodo.8186230

Electroencephalography EEG is an essential tool in healthcare, as it records and examines brain electrical activity. The Electroencephalography machine records and amplifies brain signals. Electroencephalography instruments are necessary for accurate diagnosis. The goal of Electroencephalography and innovative healthcare is to explore using Electroencephalography signals for diagnosing and treating neurological illnesses. The report aims to provide insights into using the Mosul Hospital Arc Electroencephalography machine. The primary goal is to investigate the potential of Electroencephalography signals in assisting with diagnosing and treating neurological illnesses such as epilepsy and Parkinson's disease. The report discusses various topics, such as electrode placement, channel configuration, and the use of conductive cream to improve the quality of Electroencephalography recordings. It also includes EEG recordings from two epileptic patients of varying ages and seizure statuses. An expert in Electroencephalography analysis analyzes these recordings, and the results are sent to the physician who requested the Electroencephalography recordings. In addition, the report states that the Hospital may conduct video EEG recordings if the physician has concerns about the patient's condition. The overarching goal is to provide helpful information on the use of Electroencephalography instruments and procedures in diagnosing and treating neurological illnesses and highlight potential future research and advancements in the field of Electroencephalography and healthcare.

Keywords : Electroencephalography, Epilepsy, Channel Arrangement, Electroencephalography Recording.


Paper Submission Last Date
30 - November - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.