Deep learning-based ECG arrhythmia classification: A systematic review

Q Xiao, K Lee, SA Mokhtar, I Ismail, ALM Pauzi… - Applied Sciences, 2023 - mdpi.com
Deep learning (DL) has been introduced in automatic heart-abnormality classification using
ECG signals, while its application in practical medical procedures is limited. A systematic …

Deep learning for detecting and locating myocardial infarction by electrocardiogram: A literature review

P Xiong, SMY Lee, G Chan - Frontiers in cardiovascular medicine, 2022 - frontiersin.org
Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …

Expert hypertension detection system featuring pulse plethysmograph signals and hybrid feature selection and reduction scheme

MU Khan, S Aziz, T Akram, F Amjad, K Iqtidar, Y Nam… - Sensors, 2021 - mdpi.com
Hypertension is an antecedent to cardiac disorders. According to the World Health
Organization (WHO), the number of people affected with hypertension will reach around …

An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis …

AF Hussein, SJ Hashim, FZ Rokhani, WA Wan Adnan - Sensors, 2021 - mdpi.com
Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and
myocardial ischemia. The detection of the stage of CVD is vital for the prevention of medical …

Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network

W Yang, D Wang, W Fan, G Zhang, C Li… - Artificial Intelligence in …, 2023 - Elsevier
Atrial fibrillation (AFIB) and ventricular fibrillation (VFIB) are two common cardiovascular
diseases that cause numerous deaths worldwide. Medical staff usually adopt long-term …

Intra-Patient and Inter-Patient Multi-Classification of Severe Cardiovascular Diseases Based on CResFormer

D Li, C Shi, J Zhao, Y Liu, C Li - Tsinghua Science and …, 2022 - ieeexplore.ieee.org
Severe cardiovascular diseases can rapidly lead to death. At present, most studies in the
deep learning field using electrocardiogram (ECG) are performed on intra-patient …

An Effective Prediction Model of Myocardial Infarction Using Convolution Kernel Weight Based Convolutional Neural Network.

P Saranya, C Vennila - Traitement du Signal, 2024 - search.ebscohost.com
One of the frequent cardiac conditions brought on by persistent myocardial ischemic is
myocardial infarction (MI), generally referred as a heart attack. The clinical standard for …

Diagnosis of Cardiovascular Disease Based on Class-Incremental Deep and Broad Learning System

M Sun, Y Si, W Fan, Y Wang, L Zhou… - 2024 43rd Chinese …, 2024 - ieeexplore.ieee.org
Early diagnosis of cardiovascular disease can significantly improve patient survival rates.
Existing ECG classification research only considers offline mode, which cannot adapt to new …

Exploring the Relationship between Cardiac Disease and Patterns of 12-Lead ECG through Neural Network: A Comprehensive Review

A Sufian, NR Chakraborty, SA Shammi… - Advances in Systems …, 2024 - ijassa.ipu.ru
Heart disease is a significant public health concern, affecting a large number of people
worldwide daily. With a shortage of qualified cardiologists, particularly in low-income …

[PDF][PDF] Low Cost Non-İnvasive Portable Monitor Platform for Cardiac Biopotential and Transthoracic Impedance Measurements

O Köksal, E Haberal - 2021 - scholar.archive.org
Purpose Simultaneous monitoring of ECG and thoracic electrical bioimpedance (TEB) is
important in evaluating cardiovascular performance. TEB is a non-invasive technique based …