4.6 Article

Improved ECG heartbeat classification based on 1-D convolutional neural networks

Related references

Note: Only part of the references are listed.
Article Chemistry, Analytical

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal

Amin Ullah et al.

Summary: The study aims to develop a robust algorithm for accurately classifying ECG signals even in the presence of environmental noise. They proposed a 1D CNN with two convolutional layers, two down-sampling layers, and a fully connected layer, followed by transforming the data into 2D images to improve classification accuracy. The classification accuracy achieved with the proposed 1D and 2D model on the MIT-BIH arrhythmia database outperformed the state-of-the-art algorithms for the same dataset, demonstrating the effectiveness of the proposed models.

SENSORS (2021)

Article Imaging Science & Photographic Technology

Personal Heart Health Monitoring Based on 1D Convolutional Neural Network

Antonella Nannavecchia et al.

Summary: This study presents a system for automatically detecting cardiac pathologies in ECG signals from personal monitoring devices, improving efficiency and accuracy of cardiac pathology diagnosis while being implementable on low-cost smart devices. Experimental results show excellent performance with high accuracy and recall in detecting anomalies in entire ECG recordings.

JOURNAL OF IMAGING (2021)

Article Computer Science, Artificial Intelligence

Optimisation-based training of evolutionary convolution neural network for visual classification applications

Shanshan Tu et al.

IET COMPUTER VISION (2020)

Article Chemistry, Analytical

Detection of Atrial Fibrillation Using 1D Convolutional Neural Network

Chaur-Heh Hsieh et al.

SENSORS (2020)

Article Computer Science, Information Systems

Automatic ECG Diagnosis Using Convolutional Neural Network

Roberta Avanzato et al.

ELECTRONICS (2020)

Article Computer Science, Information Systems

An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier

Mohammad Ayoub Khan

IEEE ACCESS (2020)

Editorial Material Cardiac & Cardiovascular Systems

ECG interpretation

Rebecca R. Chamley et al.

EUROPEAN HEART JOURNAL (2019)

Article Chemistry, Multidisciplinary

An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter

Dengyong Zhang et al.

APPLIED SCIENCES-BASEL (2019)

Article Computer Science, Information Systems

Classification of Atrial Fibrillation Recurrence Based on a Convolution Neural Network With SVM Architecture

Zhangjun Li et al.

IEEE ACCESS (2019)

Proceedings Paper Engineering, Electrical & Electronic

Arrhythmia classification on ECG using Deep Learning

A. Rajkumar et al.

2019 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS) (2019)

Article Computer Science, Information Systems

Smart Heart Monitoring: Early Prediction of Heart Problems Through Predictive Analysis of ECG Signals

Jiaming Chen et al.

IEEE ACCESS (2019)

Article Mathematical & Computational Biology

Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants

Anam Mustaqeem et al.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2018)

Article Computer Science, Artificial Intelligence

A fuzzy neural network approach for automatic K-complex detection in sleep EEG signal

Rakesh Ranjan et al.

PATTERN RECOGNITION LETTERS (2018)

Article Biology

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

Ozal Yildirim et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Article Mathematical & Computational Biology

Arrhythmia Classification of ECG Signals Using Hybrid Features

Syed Muhammad Anwar et al.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2018)

Review Health Care Sciences & Services

Medical Image Analysis using Convolutional Neural Networks: A Review

Syed Muhammad Anwar et al.

JOURNAL OF MEDICAL SYSTEMS (2018)

Article Engineering, Multidisciplinary

Deep Convolutional Neural Network Based ECG Classification System Using Information Fusion and One-Hot Encoding Techniques

Jia Li et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2018)

Article Biotechnology & Applied Microbiology

Detection and classification of cardiovascular abnormalities using FFT based multi-objective genetic algorithm

B. V. P. Prasad et al.

BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT (2018)

Article Computer Science, Information Systems

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

U. Rajendra Acharya et al.

INFORMATION SCIENCES (2017)

Article Computer Science, Information Systems

A statistical analysis based recommender model for heart disease patients

Anam Mustaqeem et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2017)

Article Cardiac & Cardiovascular Systems

Acute Myocardial Infarction in Women A Scientific Statement From the American Heart Association

Laxmi S. Mehta et al.

CIRCULATION (2016)

Article Engineering, Electrical & Electronic

BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network

Prosanta Gope et al.

IEEE SENSORS JOURNAL (2016)

Article Engineering, Biomedical

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

Serkan Kiranyaz et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2016)