Tytuł artykułu

Extreme learning machine approach on heart abnormalities identification in ECG images

Tytuł czasopisma

International Journal of Electronics and Telecommunications

Rocznik

2024

Wolumin

vol. 70

Numer

No 2

Afiliacje

Nababan, Anandhini Medianty : Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia ; Nasution, Umaya Rhamadhani Putri : Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia ; Pandiangan, Tito Daniel : Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia ; Nadi, Farhad : School of Information Technology, UNITAR International University, Malaysia ; Al-Khowarizmi : Department of Information Technology, Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia ; Budiarto, Rahmat : College of Computer Science and Information Technology, Albaha University, Saudi Arabia ; Rahmat, Romi Fadillah : Department of Information Technology, Faculty of Computer Science and Information Technology, Universitas Sumatera Utara, Indonesia

Autorzy

Nababan, Anandhini Medianty ; Nasution, Umaya Rhamadhani Putri ; Pandiangan, Tito Daniel ; Nadi, Farhad ; Al-Khowarizmi ; Budiarto, Rahmat ; Rahmat, Romi Fadillah

Słowa kluczowe

Heart abnormality ; Electrocardiogram ; Image Processing ; Extreme Learning Machine ; Invariant Moments

Wydział PAN

Nauki Techniczne

Zakres

473-480

Wydawca

Polish Academy of Sciences Committee of Electronics and Telecommunications

Data

25.06.2024

Typ

Article

Identyfikator

DOI: 10.24425/ijet.2024.149568 ; ISSN 2081-8491, eISSN 2300-1933