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https://hdl.handle.net/10356/59959
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DC Field | Value | Language |
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dc.contributor.author | Sinha, Nishant | |
dc.date.accessioned | 2014-05-21T03:18:04Z | |
dc.date.available | 2014-05-21T03:18:04Z | |
dc.date.copyright | 2013 | en_US |
dc.date.issued | 2013 | |
dc.identifier.uri | http://hdl.handle.net/10356/59959 | |
dc.description.abstract | As per the report of World Health Organization, three out of one thousand people in the world have epilepsy and in 30% of such patients uncontrolled seizures prevail even after pharmacological epileptic therapy using Anti Epileptic Drugs. As these patients live in a constant fear ofhaving seizure at any time, some of them undergo surgical epilepsy treatment in which the seizure onset zone is indentified clinically by neurosurgeons and is resected. The clinical determination of seizure onset zone of the cortex is carried out after meticulously analysing the electroencephalogram and/or electrocorticogram data of the patient, which is recorded for a week or longer unless enough number of seizures are captured. This requires long hospitalization time, sometimes with invasive electrodes placed in the patient's cortex. | en_US |
dc.format.extent | 63 p. | en_US |
dc.language.iso | en | en_US |
dc.subject | DRNTU::Engineering | en_US |
dc.title | Modelling and control of epileptic seizures | en_US |
dc.type | Thesis | |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Engineering | en_US |
dc.contributor.supervisor2 | Justin Dauwels | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
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sinha13.pdf Restricted Access | Main theses | 9.01 MB | Adobe PDF | View/Open |
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