Electrocardiogram Heartbeat Classification using Convolutional Neural Network-k Nearest Neighbor
Electrocardiogram (ECG) analysis is widely used by cardiologists and medical practitioners for monitoring cardiac health. A high-performance automatic ECG classification system is challenging because there is difficulty in detecting and categorizing different waveforms in the signal, especially in...
Main Authors: | Zrar Kh. Abdul, Abdulbasit K. Al‑Talabani, Chnoor M. Rahman, Safar M. Asaad |
---|---|
Format: | Article |
Language: | English |
Published: |
Koya University
2024-02-01
|
Series: | ARO-The Scientific Journal of Koya University |
Subjects: | |
Online Access: | https://aro.koyauniversity.org/index.php/aro/article/view/1444 |
Similar Items
-
A novel method for the detection of R-peaks in ECG based on K-Nearest Neighbors and Particle Swarm Optimization
by: Runnan He, et al.
Published: (2017-12-01) -
Improving Convolutional Neural Networks’ Accuracy in Noisy Environments Using k-Nearest Neighbors
by: Antonio-Javier Gallego, et al.
Published: (2018-10-01) -
A new locally adaptive K-nearest centroid neighbor classification based on the average distance
by: Benqiang Wang, et al.
Published: (2022-12-01) -
Prediksi Kelompok UKT Mahasiswa Menggunakan Algoritma K-Nearest Neighbor
by: Sukamto Sukamto, et al.
Published: (2020-05-01) -
Face Identification Based on K-Nearest Neighbor
by: Ni Kadek Ayu Wirdiani, et al.
Published: (2019-11-01)