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An Efficient Signal Processing Algorithm for Detecting Abnormalities in EEG Signal Using CNN.
Syamsundararao, Thalakola; Selvarani, A; Rathi, R; Vini Antony Grace, N; Selvaraj, D; Almutairi, Khalid M A; Alonazi, Wadi B; Priyan, K S A; Mosissa, Ramata.
Afiliación
  • Syamsundararao T; Department of Computer Science and Engineering, Kallam Haranadha Reddy Institute of Technology (KHIT), Dasaripalem 522019, Andhra Pradesh, India.
  • Selvarani A; Department of Electronics and Communication Engineering, Panimalar Engineering Collage, Chennai 600123, Tamil Nadu, India.
  • Rathi R; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
  • Vini Antony Grace N; Department of Electronics and Communication Engineering, R.M.D. Engineering College, Kavaraipettai 601206, Tamil Nadu, India.
  • Selvaraj D; Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai 600123, Tamil Nadu, India.
  • Almutairi KMA; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, P. O. Box: 10219, Riyadh 11433, Saudi Arabia.
  • Alonazi WB; Health Administration Department, College of Business Administration, King Saud University, PO Box: 71115, Riyadh 11587, Saudi Arabia.
  • Priyan KSA; Department of Biotechnology, Sejong University, Seoul, Republic of Korea.
  • Mosissa R; Department of IT, Mettu University, Metu, Ethiopia.
Contrast Media Mol Imaging ; 2022: 1502934, 2022.
Article en En | MEDLINE | ID: mdl-36213561
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Epilepsia Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Contrast Media Mol Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: India
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Epilepsia Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Contrast Media Mol Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: India