Classification of conductive block disorders based on electrocardiogram images using support vector machine

Author:

Nababan Anandhini Medianty,Nasution Umaya Ramadhani Putri,Simanjuntak Bobby Leo,Rahmat Romi Fadillah,Nadi Farhad

Publisher

AIP Publishing

Reference11 articles.

1. N. Joshy and D. Pamela, Heart Diseases Identification System Using Fuzzy Cluster Algorithm, International Journal of Engineering Research & Technology, vol 3, issue 3, March 2014.

2. Z. Gao, P. Laiman, J. Wu, Z. Xin, D. Hao, “A novel computerized method based on support vector machine for tongue diagnosis” in Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, IEEE, 2017, China

3. S. Mahapatra, D. Mohanta, P. Mohanty, S. K. Nayak, P. K. Behari “A Neuro-fuzzy based model for analysis of an ECG signal using Wavelet Packet Tree”, 2nd International Conference on Intelligent Computing, Communication & Convergence, 2016

4. A.F. Saifudin “Sistem Identifikasi Citra Kayu berdasarkan Tekstur menggunakan Grey Level Cooccurrence Matrix (GLCM) dengan klasifikasi jarak Euclidean”, 2014, FTI UAD: Yogyakarta.

5. V. Rama, C.B.R. Rao, N. Duggirala, “Analysis of Signal Processing Techniques to Identify Cardiac Disorders”. International Journal of Innovative Research Electrical, vol. 3, issue 6, 2015

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