P-Wave Detection Using a Fully Convolutional Neural Network in Electrocardiogram Images

P-Wave Detection Using a Fully Convolutional Neural Network in Electrocardiogram Images

Electrocardiogram (ECG) signal analysis is a critical task in diagnosing the presence of any cardiac disorder. There are limited studies on detecting P-waves in various atrial arrhythmias, such as atrial fibrillation (AFIB), atrial flutter, junctional rhythm, and other arrhythmias due to P-wave vari...

Full description

Bibliographic Details
Main Authors:	Rana N. Costandy, Safa M. Gasser, Mohamed S. El-Mahallawy, Mohamed W. Fakhr, Samir Y. Marzouk
Format:	Article
Language:	English
Published:	MDPI AG 2020-02-01
Series:	Applied Sciences
Subjects:	electrocardiogram p-wave atrial disorder fully convolutional network
Online Access:	https://www.mdpi.com/2076-3417/10/3/976

Similar Items

Accuracy improvement for Fully Convolutional Networks via selective augmentation with applications to electrocardiogram data
by: Lucas Cassiel Jacaruso
Published: (2021-01-01)

Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network
by: Yinsheng Ji, et al.
Published: (2019-06-01)

Atrial Fibrillation Detection with Single-Lead Electrocardiogram Based on Temporal Convolutional Network–ResNet
by: Xiangyu Zhao, et al.
Published: (2024-01-01)

Notched P‐wave on digital electrocardiogram predicts the recurrence of atrial fibrillation in patients who have undergone catheter ablation
by: Takafumi Okuyama, et al.
Published: (2024-06-01)

A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning
by: Yufa Xia, et al.
Published: (2019-01-01)

The importance of electrocardiogram in hypothermia: Osborne J-wave
by: Milanov Zoran
Published: (2015-01-01)

Electrocardiogram Heartbeat Classification using Convolutional Neural Network-k Nearest Neighbor
by: Zrar Kh. Abdul, et al.
Published: (2024-02-01)

Feature Enrichment Based Convolutional Neural Network for Heartbeat Classification From Electrocardiogram
by: Qingsong Xie, et al.
Published: (2019-01-01)

Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network
by: Hyun-Myung Cho, et al.
Published: (2019-10-01)

Electrocardiogram P-wave sign is related to new-onset atrial fibrillation of patients with acute myocardial infarction
by: YANG Duojun, LIU Jinghan
Published: (2024-11-01)

An Innovative Approach for the Prediction of Future Arrhythmia through T-wave Alternans on Surface Electrocardiogram (ECG)
by: Ali Farhan, et al.
Published: (2023-12-01)

Fibrillatory wave amplitude and thromboembolic risk in non-anticoagulated patients with atrial fibrillation
by: Arto Relander, et al.
Published: (2024-12-01)

Prediction model for the new onset of atrial fibrillation combining features of 24-hour Holter electrocardiogram with 12-lead electrocardiogram
by: Tetsuro Nishimura, et al.
Published: (2023-08-01)

Improving the Seismic Impedance Inversion by Fully Convolutional Neural Network
by: Liurong Tao, et al.
Published: (2025-01-01)

ECG-based Atrial Fibrillation Detection Based on Deep Convolutional Residual Neural Network
by: ZHAO Ren-xing, XU Pin-jie, LIU Yao
Published: (2022-05-01)

Distributions of various compositions in granite specimen using fully convolutional network
by: Chuxiong ZHU, et al.
Published: (2021-02-01)

Fully convolutional video prediction network for complex scenarios
by: Rui Han, et al.
Published: (2024-07-01)

Fully convolutional neural networks applied to large-scale marine morphology mapping
by: Riccardo Arosio, et al.
Published: (2023-07-01)

Detection of Atrial Fibrillation Using 1D Convolutional Neural Network
by: Chaur-Heh Hsieh, et al.
Published: (2020-04-01)

Semantic Labeling of High-Resolution Images Combining a Self-Cascaded Multimodal Fully Convolution Neural Network with Fully Conditional Random Field
by: Qiongqiong Hu, et al.
Published: (2024-09-01)

Generalising electrocardiogram detection and delineation: training convolutional neural networks with synthetic data augmentation
by: Guillermo Jimenez-Perez, et al.
Published: (2024-07-01)

Automated P-Wave Quality Assessment for Wearable Sensors
by: Diogo Tecelão, et al.
Published: (2019-01-01)

Fully Convolutional Neural Network Structure and Its Loss Function for Image Classification
by: Qiuyu Zhu, et al.
Published: (2022-01-01)

Segmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography images
by: Meng-Xiao Li, et al.
Published: (2019-06-01)

Background Subtraction Using Multiscale Fully Convolutional Network
by: Dongdong Zeng, et al.
Published: (2018-01-01)

Fully Convolutional Neural Network with Attention Module for Semantic Segmentation
by: OU Yangliu, HE Xi, QU Shaojun
Published: (2022-05-01)

Parallel Fully Convolutional Network for Semantic Segmentation
by: Jian Ji, et al.
Published: (2021-01-01)

Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation
by: Guangsheng Chen, et al.
Published: (2019-05-01)

Liver Cancer Detection Using Hybridized Fully Convolutional Neural Network Based on Deep Learning Framework
by: Xin Dong, et al.
Published: (2020-01-01)

Generating Multi‐Depth 3D Holograms Using a Fully Convolutional Neural Network
by: Xingpeng Yan, et al.
Published: (2024-07-01)

Multiple-Model Fully Convolutional Neural Networks for Single Object Tracking on Thermal Infrared Video
by: Mohd Asyraf Zulkifley, et al.
Published: (2018-01-01)

A novel fully convolutional network for visual saliency prediction
by: Bashir Muftah Ghariba, et al.
Published: (2020-07-01)

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
by: Wenjia Bai, et al.
Published: (2018-09-01)

A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection
by: Lingteng Qiu, et al.
Published: (2019-01-01)

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images
by: Jianye Yuan, et al.
Published: (2023-05-01)

Change Detection in Hyperspectral Images Using Recurrent 3D Fully Convolutional Networks
by: Ahram Song, et al.
Published: (2018-11-01)

An Effective Atrial Fibrillation Detection from Short Single-Lead Electrocardiogram Recordings Using MCNN-BLSTM Network
by: Hongpo Zhang, et al.
Published: (2022-11-01)

The prediction of right atrial pressure using electrocardiogram: a novel approach
by: Marzieh Mirtajaddini, et al.
Published: (2021-12-01)

Combining Deep Fully Convolutional Network and Graph Convolutional Neural Network for the Extraction of Buildings from Aerial Images
by: Wenzhuo Zhang, et al.
Published: (2022-12-01)

Investigation of Focusing Wave Properties in a Numerical Wave Tank with a Fully Nonlinear Potential Flow Model
by: Weizhi Wang, et al.
Published: (2019-10-01)