Szczegóły

Tytuł artykułu

Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search

Tytuł czasopisma

International Journal of Electronics and Telecommunications

Rocznik

2020

Wolumin

vol. 67

Numer

No 1

Afiliacje

Valavan, K.K. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Manoj, S. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Abishek, S. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Gokull Vijay, T.G. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Vojaswwin, A.P. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Rolant Gini, J. : Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India ; Ramachandran, K.I. : Centre for Computational Engineering & Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India

Autorzy

Słowa kluczowe

ECG signal ; Grid Search ; RR intervals ; Sleep Apnea ; support vector machine

Wydział PAN

Nauki Techniczne

Zakres

5-12

Wydawca

Polish Academy of Sciences Committee of Electronics and Telecommunications

Data

2021.02.12

Typ

Article

Identyfikator

DOI: 10.24425/ijet.2020.134021 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

Źródło

International Journal of Electronics and Telecommunications; 2020; vol. 67; No 1; 5-12
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