Cargando…

A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals

Cardiovascular disorders are often diagnosed using an electrocardiogram (ECG). It is a painless method that mimics the cyclical contraction and relaxation of the heart’s muscles. By monitoring the heart’s electrical activity, an ECG can be used to identify irregular heartbeats, heart attacks, cardia...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ahmed, Alaa E. S., Abbas, Qaisar, Daadaa, Yassine, Qureshi, Imran, Perumal, Ganeshkumar, Ibrahim, Mostafa E. A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458913/ https://www.ncbi.nlm.nih.gov/pubmed/37631741 http://dx.doi.org/10.3390/s23167204

Ejemplares similares

An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture
por: Abbas, Qaisar, et al.
Publicado: (2021)

HDR-EfficientNet: A Classification of Hypertensive and Diabetic Retinopathy Using Optimize EfficientNet Architecture
por: Abbas, Qaisar, et al.
Publicado: (2023)

Assist-Dermo: A Lightweight Separable Vision Transformer Model for Multiclass Skin Lesion Classification
por: Abbas, Qaisar, et al.
Publicado: (2023)

Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases
por: Abbas, Qaisar, et al.
Publicado: (2023)

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems
por: Ramachandran, Divya, et al.
Publicado: (2023)

ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks
por: Mahalingam, Anandaraj, et al.
Publicado: (2023)

DR-NASNet: Automated System to Detect and Classify Diabetic Retinopathy Severity Using Improved Pretrained NASNet Model
por: Sajid, Muhammad Zaheer, et al.
Publicado: (2023)

Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder
por: Liu, Xiaoyang, et al.
Publicado: (2020)

ECG classification using 1-D convolutional deep residual neural network
por: Khan, Fahad, et al.
Publicado: (2023)

Atrous Convolutions and Residual GRU Based Architecture for Matching Power Demand with Supply
por: Khan, Samee Ullah, et al.
Publicado: (2021)

Using Convolutional Neural Network and a Single Heartbeat for ECG Biometric Recognition
por: AlDuwaile, Dalal A., et al.
Publicado: (2021)

Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture
por: Sajid, Muhammad Zaheer, et al.
Publicado: (2023)

An End-to-End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
por: Ullah, Hadaate, et al.
Publicado: (2022)

New ECG Compression Method for Portable ECG Monitoring System Merged with Binary Convolutional Auto-Encoder and Residual Error Compensation
por: Shi, Jiguang, et al.
Publicado: (2022)

Light-Dermo: A Lightweight Pretrained Convolution Neural Network for the Diagnosis of Multiclass Skin Lesions
por: Baig, Abdul Rauf, et al.
Publicado: (2023)

An ECG Signal Classification Method Based on Dilated Causal Convolution
por: Ma, Hao, et al.
Publicado: (2021)

Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions
por: Arshad, Sannia, et al.
Publicado: (2023)

Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning
por: Wu, Jing, et al.
Publicado: (2020)

Towards understanding residual and dilated dense neural networks via convolutional sparse coding
por: Zhang, Zhiyang, et al.
Publicado: (2020)

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG
por: Li, Hongqiang, et al.
Publicado: (2021)

Pavement Roughness Grade Recognition Based on One-dimensional Residual Convolutional Neural Network
por: Xu, Juncai, et al.
Publicado: (2023)

Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network
por: Xing, Shuli, et al.
Publicado: (2019)

An ECG Heartbeat Classification Method Based on Deep Convolutional Neural Network
por: Zhang, Dengqing, et al.
Publicado: (2021)

Convolutional Neural Network-Based ECG-Assisted Diagnosis for Coal Workers
por: Wang, Yujia, et al.
Publicado: (2022)

Lipreading Architecture Based on Multiple Convolutional Neural Networks for Sentence-Level Visual Speech Recognition
por: Jeon, Sanghun, et al.
Publicado: (2021)

CAD-ALZ: A Blockwise Fine-Tuning Strategy on Convolutional Model and Random Forest Classifier for Recognition of Multistage Alzheimer’s Disease
por: Abbas, Qaisar, et al.
Publicado: (2023)

Densely connected convolutional networks-based COVID-19 screening model
por: Singh, Dilbag, et al.
Publicado: (2021)

Advanced Time-Frequency Methods for ECG Waves Recognition
por: Zyout, Ala’a, et al.
Publicado: (2023)

End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal
por: Zang, Xiaohan, et al.
Publicado: (2022)

Electroencephalograph-Based Emotion Recognition Using Brain Connectivity Feature and Domain Adaptive Residual Convolution Model
por: Chen, Jingxia, et al.
Publicado: (2022)

Spectrum Sensing Method Based on Residual Dense Network and Attention
por: Wang, Anyi, et al.
Publicado: (2023)

Crop pest image classification based on improved densely connected convolutional network
por: Peng, Hongxing, et al.
Publicado: (2023)

Contrast‐enhanced MRI synthesis using dense‐dilated residual convolutions based 3D network toward elimination of gadolinium in neuro‐oncology
por: Osman, Alexander F. I., et al.
Publicado: (2023)

The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG
por: Wang, Baiyang, et al.
Publicado: (2022)

Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics
por: Bortolan, Giovanni, et al.
Publicado: (2021)

Fine-Tuned Temporal Dense Sampling with 1D Convolutional Neural Network for Human Action Recognition
por: Lim, Kian Ming, et al.
Publicado: (2023)

ECG data dependency for atrial fibrillation detection based on residual networks
por: Seo, Hyo-Chang, et al.
Publicado: (2021)

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis
por: Qaisar, Saeed Mian, et al.
Publicado: (2020)

Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine
por: Sultan, Haseeb, et al.
Publicado: (2021)

Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network
por: Xu, Wang, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_palvjuv396oiovrva9euqvs0nf