Seizure Detection Using A Support Vector Machine Algorithm : A Novel Multi-Measurement Approach
Language: English
Published by LAP LAMBERT Academic Publishing, 2009
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 43.33
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Epilepsy is the second most common neurologic disorder which is characterized by recurrent and spontaneous seizures. Seizures occur unpredictably which makes everyday tasks such as driving and working extremely difficult resulting in a reduced quality of life. Epilepsy monitoring units measure the electrical activity of the brain using electroencephalography in an attempt to locate the epileptic brain tissue. However since seizures occur unpredictably and are generally infrequent, long recording times generate massive quantities of data. Automating this process using a seizure detection algorithm will ultimately save time and money, allow for superior and safer care of patients, and provide a better diagnostic tool. Although seizure detection has been well studied in the laboratory and clinic, a widely accepted algorithm has not been developed largely due to the fact that automated routines do not perform as well as a neurologist. In order to improve performance, we tested the hypothesis that multiple algorithms would work better than any single approach. Multiple algorithms were used as feature extractors and were implemented into a support vector machine (SVM) algorithm.…
Seller Inventory # 9783838324296
- Title
- Seizure Detection Using A Support Vector Machine Algorithm : A Novel Multi-Measurement Approach
- Author
- Kevin Freedman
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2009
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3838324293
- ISBN 13
- 9783838324296
- Item weight
- 131 grams
- Dimensions
- 220x150x6 mm
"Synopsis" may belong to another edition of this title.
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| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
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