Title

Extreme learning machine approach on heart abnormalities identification in ECG images

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2024

Volume

vol. 70

Issue

No 2

Affiliation

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

Authors

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

Keywords

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

Divisions of PAS

Nauki Techniczne

Coverage

473-480

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

25.06.2024

Type

Article

Identifier

DOI: 10.24425/ijet.2024.149568