Cargando…
ECG Signal Classification Based on Fusion of Hybrid CNN and Wavelet Features by D-S Evidence Theory
At present, cardiovascular disease is regarded as one of the dangerous diseases that threaten human life. The morbidity and lethality caused by cardiovascular disease are constantly increasing every year. In this paper, we propose a two-stream style operation to handle the electrocardiogram (ECG) cl...
Autores principales: | Zhang, Jixiang, Wu, Chengqin, Ruan, Chenzhao, Zhang, Rongxia, Zhao, Zengshun, Cheng, Xiangqian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440070/ https://www.ncbi.nlm.nih.gov/pubmed/34531965 http://dx.doi.org/10.1155/2021/4222881 |
Ejemplares similares
-
Wavelet Scattering Transform for ECG Beat Classification
por: Liu, Zhishuai, et al.
Publicado: (2020) -
Multifocus Image Fusion Using Wavelet-Domain-Based Deep CNN
por: Li, Jinjiang, et al.
Publicado: (2019) -
ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021) -
Arrhythmia Classification of ECG Signals Using Hybrid Features
por: Anwar, Syed Muhammad, et al.
Publicado: (2018) -
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
por: Mathunjwa, Bhekumuzi M., et al.
Publicado: (2022)