Deep Learning based Heart Diseases Detection using ResNet50 Architecture

M Gulhane, S Kumar - 2023 Intelligent Methods, Systems, and …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) in medical diagnostics has become an essential topic in research
and business. Deep learning (DL) models are included in AI, and these models have been …

Cardiac disorder classification by electrocardiogram sensing using deep neural network

AH Khan, M Hussain, MK Malik - Complexity, 2021 - Wiley Online Library
Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be
prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to …

[DOC][DOC] Artificial Intelligence in Detection of Cardiovascular Diseases in ECG Images

N Jhansi, S Sridhar, AA Rao - ijprems.com
Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …

Detection of arrhythmia and congestive heart failure through classification of ECG signals using deep learning neural network

S Krishnakumar, M Yasodha… - … on advancements in …, 2021 - ieeexplore.ieee.org
Globally, cardiovascular illnesses are the major cause of death. By detecting the electrical
activity of the heart as it contracts, electrocardiogram (ECG) data can be used to detect heart …

Myocardial infarction detection using ECG signal applying deep learning techniques-ConvNet, VGG16, InceptionV3 and MobileNet

ST Promita, SA Biswas, NI Mozumder, M Taharat - 2022 - dspace.bracu.ac.bd
Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives,
our health has become vulnerable and at risk of different types of cardiac diseases. The …

HybDeepNet: ECG Signal Based Cardiac Arrhythmia Diagnosis Using a Hybrid Deep Learning Model

CS Pandian, AM Kalpana - Information Technology and Control, 2023 - itc.ktu.lt
To monitor electrical indications from the heart and assess its performance, the
electrocardiogram (ECG) is the most common and routine diagnostic instrument employed …

[PDF][PDF] Classification and detection of ECG arrhythmia and myocardial infarction using deep learning: a review

AA Rawi, MK Albashir, AM Ahmed - Webology, 2022 - webology.org
Abstract Recently, DL (Deep Learning) becomes the focus study for researchers in wide and
various applications such as; healthcare, where early detection can play an important and …

ECG classification for detecting ECG arrhythmia empowered with deep learning approaches

A Rahman, RN Asif, K Sultan, SA Alsaif… - Computational …, 2022 - Wiley Online Library
According to the World Health Organization (WHO) report, heart disease is spreading
throughout the world very rapidly and the situation is becoming alarming in people aged 40 …

[PDF][PDF] Research Article ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches

A Rahman, RN Asif, K Sultan, SA Alsaif, S Abbas… - 2022 - academia.edu
Heart abnormalities are rising with the passage of time and people worry about the health of
the entire world. Till today, ECG signals are the best procedure to detect heart abnormality …

[PDF][PDF] Detection of Cardiovascular Diseases Using Machine Learning and Deep Learning

P Rai, SK Fernandes, T Choedon, TT Bhutia - 2023 - easychair.org
Cardiovascular diseases also known as heart diseases are the leading cause of death on a
global scale. Early detection of cardiac abnormalities can save many lives and even assist …