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 …
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
Advances of ecg sensors from hardware, software and format interoperability perspectives
It is well-known that cardiovascular disease is one of the major causes of death worldwide
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
Myocardial infarction detection based on deep neural network on imbalanced data
Myocardial infarction (MI) is an acute interruption of blood flow to the heart, which causes the
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
SLC-GAN: An automated myocardial infarction detection model based on generative adversarial networks and convolutional neural networks with single-lead …
Electrocardiography (ECG) is a sophisticated tool for the diagnosis of myocardial infarction
(MI). Deep learning approaches can support MI diagnosis based on ECG data. However …
(MI). Deep learning approaches can support MI diagnosis based on ECG data. However …
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Among various life-threatening cardiac disorders, ventricular tachycardia (VT) and
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
Real-time remote health monitoring system driven by 5G MEC-IoT
Telemedicine over Internet of Things (IoT) generates an unprecedented amount of data,
which further requires transmission, analysis, and storage. Deploying cloud computing to …
which further requires transmission, analysis, and storage. Deploying cloud computing to …
Multi-scale convolutional neural network ensemble for multi-class arrhythmia classification
E Prabhakararao, S Dandapat - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early
diagnosis and management of cardiac arrhythmias. The diverse etiology of arrhythmia and …
diagnosis and management of cardiac arrhythmias. The diverse etiology of arrhythmia and …
An attentive spatio-temporal learning-based network for cardiovascular disease diagnosis
D Jyotishi, S Dandapat - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
Automated diagnosis of cardiovascular diseases (CVDs) has become an imperative need
for remote or in-hospital heart monitoring. This is a challenging task because of the tenuous …
for remote or in-hospital heart monitoring. This is a challenging task because of the tenuous …
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals
Myocardial infarction (MI) is detected using electrocardiography (ECG) signals. Machine
learning (ML) models have been used for automated MI detection on ECG signals. Deep …
learning (ML) models have been used for automated MI detection on ECG signals. Deep …
Temporal feature-based classification into myocardial infarction and other cvds merging cnn and bi-lstm from ecg signal
Heart attack else wise termed as myocardial infarction (MI) causes irreparable death of
cardiac muscles yielding the focal reason for most casualties among all cardiovascular …
cardiac muscles yielding the focal reason for most casualties among all cardiovascular …