KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy From EEG Signals. A Detailed Analysis
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| Title: | KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy From EEG Signals. A Detailed Analysis |
|---|---|
| Description: | Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizure at some time in their lives. It may be confused with other events like strokes or migraines. Unfortunately, the occurrence of an epileptic seizure seems unpredictable and its process still is hardly understood. In India, the number of persons suffering from epilepsy is increasing every year. The complexity involved in the diagnosis and therapy has to be cost effective. In this project, the authors applied an algorithm which is used for a classification of the risk level of epilepsy in epileptic patients from Electroencephalogram (EEG) signals. Dimensionality reduction is done on the EEG dataset by applying Power Spectral density. The KNN Classifier and K-Means clustering is implemented on these spectral values to epilepsy risk level detection. The Performance Index (PI) and Quality Value (QV) are calculated for the above methods. A group of twenty patients with known epilepsy findings are used in this study. |
| Authors: | Rajaguru, Harikumar, Prabhakar, Sunil Kumar |
| Resource Type: | eBook. |
| Subjects: | Brain--Physiology, Epilepsy, Signal processing--Digital techniques |
| Categories: | MEDICAL / Diseases, HEALTH & FITNESS / Diseases & Conditions / General, MEDICAL / Clinical Medicine, MEDICAL / Internal Medicine, MEDICAL / Evidence-Based Medicine, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Reference |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy From EEG Signals. A Detailed Analysis – Name: Abstract Label: Description Group: Ab Data: Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizure at some time in their lives. It may be confused with other events like strokes or migraines. Unfortunately, the occurrence of an epileptic seizure seems unpredictable and its process still is hardly understood. In India, the number of persons suffering from epilepsy is increasing every year. The complexity involved in the diagnosis and therapy has to be cost effective. In this project, the authors applied an algorithm which is used for a classification of the risk level of epilepsy in epileptic patients from Electroencephalogram (EEG) signals. Dimensionality reduction is done on the EEG dataset by applying Power Spectral density. The KNN Classifier and K-Means clustering is implemented on these spectral values to epilepsy risk level detection. The Performance Index (PI) and Quality Value (QV) are calculated for the above methods. A group of twenty patients with known epilepsy findings are used in this study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rajaguru%2C+Harikumar%22">Rajaguru, Harikumar</searchLink><br /><searchLink fieldCode="AR" term="%22Prabhakar%2C+Sunil+Kumar%22">Prabhakar, Sunil Kumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brain--Physiology%22">Brain--Physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing--Digital+techniques%22">Signal processing--Digital techniques</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Diseases%22">MEDICAL / Diseases</searchLink><br /><searchLink fieldCode="ZK" term="%22HEALTH+%26+FITNESS+%2F+Diseases+%26+Conditions+%2F+General%22">HEALTH & FITNESS / Diseases & Conditions / General</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Clinical+Medicine%22">MEDICAL / Clinical Medicine</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Internal+Medicine%22">MEDICAL / Internal Medicine</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Evidence-Based+Medicine%22">MEDICAL / Evidence-Based Medicine</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Engineering+%28General%29%22">TECHNOLOGY & ENGINEERING / Engineering (General)</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Reference%22">TECHNOLOGY & ENGINEERING / Reference</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 616.853 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Brain--Physiology Type: general – SubjectFull: Epilepsy Type: general – SubjectFull: Signal processing--Digital techniques Type: general Titles: – TitleFull: KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy From EEG Signals. A Detailed Analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rajaguru, Harikumar – PersonEntity: Name: NameFull: Prabhakar, Sunil Kumar – PersonEntity: Name: NameFull: Rajaguru, Harikumar – PersonEntity: Name: NameFull: Prabhakar, Sunil Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2017 – D: 25 M: 04 Type: profile Y: 2018 Identifiers: – Type: isbn-print Value: 9783960671404 – Type: isbn-electronic Value: 9783960676409 Titles: – TitleFull: KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy From EEG Signals. A Detailed Analysis Type: main |
| ResultId | 1 |
