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IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Interpretation Of Eeg Recordings For The Purpose Of Diagnosing Stroke Disease

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Igwe J. S., Inyiama H.C., Alo U.R., Ajah I.A.



Artificial Neural Network, Brain - Computer Interface, Brain Signals, Diagnosis, Electroencephalogram, EEG Recording, Interpretation and Signal Classification



The increasing number of deaths related to stroke diseases in Nigeria is growing at an alarming. This can be attributed to poor diagnosis as well as lack of financial power to administer and undergo appropriate test as may be recommended by the physician. Most of the neurologists (experts) lack high-tech tools that are supposed to be assisting them in diagnosing and treatment of stroke diseases. The scarcely available tools such as Computerized Axial Tomography (CAT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET) are expensive for most of the patients to access. In this research, EEG which should be a more affordable and effective way of diagnosing stroke disease that will help to mitigate the death rate of stroke patients in Nigeria are suggested and advocated for. A survey was carried out to ascertain the possibility of interpreting the result of EEG recordings to the patient or ordinary person. Questionnaire was designed and distributed to scholars in computer science, computer related fields of study and medical sciences. Brain signals were captured using Brain Computer Interface (BCI) machine. The result was then interpreted using Visual Studio 2012. The result suggests need to scale up the awareness on the benefit of EEG with special emphasis on diagnosis and treatment of stroke disease.



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