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Regression analysis for detecting epileptic seizure with different feature extracting strategies.
Hussain, Lal; Saeed, Sharjil; Idris, Adnan; Awan, Imtiaz Ahmed; Shah, Saeed Arif; Majid, Abdul; Ahmed, Bilal; Chaudhary, Quratul-Ain.
Affiliation
  • Hussain L; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan, E-mail:Lall_hussain2008@live.com.
  • Saeed S; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan.
  • Idris A; Department of Computer Sciences and Information Technology, The University of Poonch, Rawalakot 12350, Azad Kashmir, Pakistan.
  • Awan IA; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan.
  • Shah SA; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan.
  • Majid A; College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia.
  • Ahmed B; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan.
  • Chaudhary QA; Department of Computer Sciences and Information Technology, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Azad Kashmir, Pakistan.
Biomed Tech (Berl) ; 64(6): 619-642, 2019 Dec 18.
Article in En | MEDLINE | ID: mdl-31145684
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seizures / Brain / Electroencephalography / Epilepsy Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Biomed Tech (Berl) Year: 2019 Document type: Article
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seizures / Brain / Electroencephalography / Epilepsy Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Biomed Tech (Berl) Year: 2019 Document type: Article