Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/390663
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DC Field | Value | Language |
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dc.coverage.spatial | ||
dc.date.accessioned | 2022-07-04T06:33:11Z | - |
dc.date.available | 2022-07-04T06:33:11Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/390663 | - |
dc.description.abstract | Epilepsy is the second most common neurological disorder occurring frequently, after stroke. Epilepsy is not a single disease; it results when there is any chemical imbalance or any non-linear dynamic fluctuations in the brain. When there is any injury in the brain tissue, it is characterized by recurrently occurring seizures. More than one percent of the world s population is affected by this chronic neurological disorder. Seizures result in disturbing the mental and physical health of the epileptic patients. newlineThe patients affected with epilepsy are charged with a life-long burden of incapability for leading a common life. Even the day-to-day activities like driving a car, swimming in a pool, climbing a tree, crossing a road, and so on becomes so risk for the patients affected with epilepsy. This often results in serious injuries which are sometimes even fatal. Their quality of life is reduced and hence solely depending on their caretakers for the rest of their lifetime newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Investigations on Prediction of Epileptic Seizures for the Development of Iomt Based Real Time Predictor | |
dc.title.alternative | ||
dc.creator.researcher | Banu Priya, P | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Instruments and Instrumentation | |
dc.description.note | ||
dc.contributor.guide | Ramachandran, B | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 173.92 kB | Adobe PDF | View/Open |
02_declaration.pdf | 360.58 kB | Adobe PDF | View/Open | |
03_certificate.pdf | 274.23 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 149.64 kB | Adobe PDF | View/Open | |
05_content.pdf | 221.01 kB | Adobe PDF | View/Open | |
06_list of graph and table.pdf | 660.3 kB | Adobe PDF | View/Open | |
07_abstract.pdf | 462.99 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 1.19 MB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 795.68 kB | Adobe PDF | View/Open | |
10_chapter 3.pdf | 2.42 MB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 1.27 MB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 1.34 MB | Adobe PDF | View/Open | |
13_chapter 6.pdf | 1.88 MB | Adobe PDF | View/Open | |
14_chapter 7.pdf | 480.14 kB | Adobe PDF | View/Open | |
15_references.pdf | 585.03 kB | Adobe PDF | View/Open | |
16_list of publication.pdf | 375.9 kB | Adobe PDF | View/Open | |
17_vitae.pdf | 264.78 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 520.59 kB | Adobe PDF | View/Open |
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