Localization of Seizures in Epilepsy using Low Frequency Fluctuations from Rs-fMRI
A.Allwyn Gnanadas1, S. Sathishbabu2, P.Arunkumar3
1Mr. Allwyn Gnanadas, Assistant Professor Department of Biomedical Engineering KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.
2S. Sathishbabu, Associate Professor Department of Electronics and Communications Thanthai Periyar Government Institute Of Technology, Vellore, Tamil Nadu, India.
3Mr. P. Arunkumar, Assistant Professor Department of Biomedical Engineering SNS College of Technology, Coimbatore, Tamil Nadu, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10576-10579 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8168118419/2019©BEIESP | DOI: 10.35940/ijrte.D8168.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Epilepsy is a chronic neurological disorder on brain which as indicated by World Health Organization influences around 59 million people worldwide. Epilepsy is often characterized by seizures. Despite that the patient treatment is successful in 70% of the cases; it is conceivable to bring up the adequacy up to 100% by utilizing the advancements in medical imaging and 3D image processing techniques that is been in this paper. Functional Magnetic Resonance Imaging (fMRI) is exploited to analyze the metabolic activities of the brain adding it with suitable image processing the seizure origin can be found and regressed out through appropriate surgery without compromising other regions of the brain. Low frequencies exist in the brain waves and this property is measured and analyzed and found to be in accordance with the functioning of the brain. Ignoring the common artifacts, the image is processed further and is correlation with the epileptic seizure is studied. The investigation revealed the exact location of the epileptic seizure which is complemented by the result obtained by functional connectivity.
Keywords: Functional Connectivity, Resting state – fMRI, fractional ALFF.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT.