BRAIN COMPUTER INTERFACE APPLICATION IN STROKE DISEASE DIAGNOSIS
DOI:
https://doi.org/10.29121/granthaalayah.v4.i7.2016.2599Keywords:
Brain-Computer Interface (BCI), Electroencephalogram (EEG), Artificial Neural Network (ANN), Neuron, Signal ClassificationAbstract [English]
Every discovery is geared towards problem solving. This is manifested by the advent of brain computer interface (BCI). Brain computer interface (BCI) is a field of study concern with the detection and utilization of brain signals in establishing the communication path between the brain and the computer system. The knowledge of this science has helped in no small measure in providing solutions to several challenges befalling man and his environment. In this paper, we explored those areas where BCI has proved useful and pointed out as well its possible application in diagnosis of stroke disease. The discourse was centered on detection of electrochemical signals from the brain called electroencephalogram (EEG). The research work also highlighted the technique of recording brain activity via electroencephalogram and using it in making deduction on the status of stroke attack on individual. This can either be normal or abnormal. The presence of delta or theta wave in an awaked adult suggests an abnormal situation. While the observance of alpha, beta and gamma waves are interpreted as normal.
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Van Erp, J. B., Lotte, F., &Tangermann, M. (2012). Brain-Computer Interfaces: Beyond Medical Applications. Computer -IEEE Computer Society-, IEEE , 26-34. DOI: https://doi.org/10.1109/MC.2012.107
Priyan, P., Uma, M., &Prabhu, S. (2015). Analysis of Brain Computer Interface Based Robot Wheel Chair Control. International Journal of Applied Engineering Research , 171-179.
Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F., &Arnaldi, B. (2006). A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces. RENNES Cedex, France: PACS.
Alwasiti, H. H., Aris, I., &Jantan, A. (2010). Brain Computer Interface Design and Applications: Challenges and Future. World Applied Sciences Journal , 819-825.
Forslund, P. (2003). A Neural Network Based Brain-Computer Interface for Classification of Movement Related EEG. Linkoping: Institute of Technology Linkopins University.
Ali, B., Mehradad, F., & Rabab, W. (2007). A Survey of Signal Processing Algorithms in Brain-Computer Interfaces Based on Electrical Brain Signals. Journal of Neural Engineering , 32-57.
Kubler, A., Holz, E., Kafumann, T., &Zickler, C. (2013). A User Centred Approach for Bringing BCI Controlled. INTECH , 1-20.
MACALESTER COLLEGE. (2014). What is Electro EnchephaloGraphy? Retrieved March 07, 2015, from Mac Incorporates:
www.macalester.edu/academics/psychology/UBNRP/Imaging/eeg.html
Wani, M., & Gang, L. (2009). Medical Applications of EEG Wave Classification. Chance, pp. 14-20.
SAPIENZA. (2014). Clinical Application of EEG. Retrieved March 14, 2015, from SAPIENZA BRAIN SIGNS: http:/www.brainsigns.com/en/portfolio_item/clinical-application-of-eeg/
Jorge, B. O. (2002). EEG Signal Classification for Brain Computer Interface Applications. ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE .
Zoshk, Y., &Azamoosh, M. (2010, May 2). The Measurement and Processing of EEG Signals to Evaluate Fatigue. Retrieved March 14, 2014, from Springer, Part of Springer Science + Business Media: http:/link.springer.com/book/eeg
Johns Hopkins Medicine RSS. (2015). Electroencephalogram (EEG). Retrieved March 12, 2015, from Johns Hopkins Medicine :
http:/www.hopkinsmedicine.org/healthlibrarytest_procedures/neurological/electroencephalogram_eeg.htm
Al-kadi, M., Reaz, M. B., & Ali, M. A. (2013, May 17). Evolution of Electroencephalogram Signal Analysis Techniques. Retrieved March 11, 2014, from MDPI: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690072
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