[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
Entropies for automated detection of coronary artery disease using ECG signals: A review
Coronary artery disease (CAD) develops when coronary arteries are unable to supply
oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner …
oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner …
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Myocardial infarction (MI), commonly known as heart attack, causes irreversible damage to
heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to …
heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to …
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
HM Rai, K Chatterjee - Applied Intelligence, 2022 - Springer
Automatic and accurate prognosis of myocardial infarction (MI) using electrocardiogram
(ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is …
(ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is …
Comprehensive electrocardiographic diagnosis based on deep learning
Cardiovascular disease (CVD) is the leading cause of death worldwide, and coronary artery
disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left …
disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left …
Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals
V Gupta, MD Chopda, RB Pachori - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Human emotion is a physical or psychological process which is triggered either consciously
or unconsciously due to perception of any object or situation. The electroencephalogram …
or unconsciously due to perception of any object or situation. The electroencephalogram …
ML–ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG
C Han, L Shi - Computer methods and programs in biomedicine, 2020 - Elsevier
Background and objective Myocardial infarction (MI) is one of the most threatening
cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram …
cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram …
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Background The most prevalent neuropsychiatric disorder among children is attention deficit
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
hyperactivity disorder (ADHD). ADHD presents with a high prevalence of comorbid disorders …
Epileptic seizure identification using entropy of FBSE based EEG rhythms
V Gupta, RB Pachori - Biomedical Signal Processing and Control, 2019 - Elsevier
This paper has proposed a new method for classification of epileptic seizures based on
weighted multiscale Renyi permutation entropy (WMRPE) and rhythms obtained with Fourier …
weighted multiscale Renyi permutation entropy (WMRPE) and rhythms obtained with Fourier …
Thermal runaway prognosis of battery systems using the modified multiscale entropy in real-world electric vehicles
J Hong, Z Wang, F Ma, J Yang, X Xu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The battery system is vital for the safety and durability of a real-world electric vehicle (EV),
and the prognosis of battery thermal runaway trigged by various abuse conditions is critical …
and the prognosis of battery thermal runaway trigged by various abuse conditions is critical …