A new smart healthcare framework for real-time heart disease detection based on deep and machine learning
Cardiovascular diseases (CVDs) are the most critical heart diseases. Accurate analytics for
real-time heart disease is significant. This paper sought to develop a smart healthcare …
real-time heart disease is significant. This paper sought to develop a smart healthcare …
Ecg classification using a hybrid deeplearning approach
SM Rafi, S Akthar - … on Artificial Intelligence and Smart Systems …, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) signal is used recent days to identify the abnormalities related to
heart beat of human and to identify the functionality of cardiovascular system. Now a days …
heart beat of human and to identify the functionality of cardiovascular system. Now a days …
Predictive Analytics in Cardiovascular Health: Leveraging Deep Learning Algorithms for Early Cardiac Disease Identification
Cardiac diseases have remained a major issue in today's era, if diagnosed at some early
stages, not only human lives be saved at the initial level of disease, a proactive approach …
stages, not only human lives be saved at the initial level of disease, a proactive approach …
A review on artificial intelligence for electrocardiogram signal analysis
Cardiovascular disease (CVD) is a broad term encompassing a group of heart and blood
vessel abnormalities that is the leading cause of death worldwide. The most popular and low …
vessel abnormalities that is the leading cause of death worldwide. The most popular and low …
Evaluation of heart disease diagnosis approach using ECG images
MAA Ferreira, MV Gurgel, LB Marinho… - … Joint Conference on …, 2019 - ieeexplore.ieee.org
Among illnesses, heart diseases are accounted for as one of the most responsible for
deaths. Precise and fast diagnoses increase the patient's chances to receive treatment time …
deaths. Precise and fast diagnoses increase the patient's chances to receive treatment time …
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals
Coronary artery disease (CAD) is the most common cause of heart disease globally. This is
because there is no symptom exhibited in its initial phase until the disease progresses to an …
because there is no symptom exhibited in its initial phase until the disease progresses to an …
CB-HDM: ECG signal based heart disease classification using convolutional block attention assisted hybrid deep Maxout network
CLN Rao, V Kakollu - Biomedical Signal Processing and Control, 2024 - Elsevier
Cardiovascular diseases (CVD) stand as the leading cause of death globally. Diagnosis of
CVD relies on electrocardiograms (ECGs), which record the heart's activity. Adequate …
CVD relies on electrocardiograms (ECGs), which record the heart's activity. Adequate …
Heart Disease Detection Using Deep Learning: A Survey
S Shakir, A Obied - … on Forthcoming Networks and Sustainability in the …, 2024 - Springer
Heart disease is the leading cause of death worldwide and one of the key problems
confronting today's globe. A recent study by the World Health Organization found 17.9 …
confronting today's globe. A recent study by the World Health Organization found 17.9 …
Improved heart disease detection from ECG signal using deep learning based ensemble model
The heart disease (HD) is very fatal in nature and comparatively takes more number of lives
across the world. To save lives from the HD, early and robust detection method is essential …
across the world. To save lives from the HD, early and robust detection method is essential …
Early detection of cardiac arrhythmia disease using machine learning and iot technologies
DP Yathish - 2021 2nd International Conference on Smart …, 2021 - ieeexplore.ieee.org
Arrhythmia is a life-threatening disease that leads to complex physical condition in patients if
left untreated. Arrhythmia disorders should be diagnosed early enough to save people's life …
left untreated. Arrhythmia disorders should be diagnosed early enough to save people's life …