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Machine learning-based heart disease diagnosis: A systematic literature review
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset
J Lai, H Tan, J Wang, L Ji, J Guo, B Han, Y Shi… - Nature …, 2023 - nature.com
Cardiovascular disease is a major global public health problem, and intelligent diagnostic
approaches play an increasingly important role in the analysis of electrocardiograms …
approaches play an increasingly important role in the analysis of electrocardiograms …
ECG-based machine-learning algorithms for heartbeat classification
Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
Automated atrial fibrillation detection using a hybrid CNN-LSTM network on imbalanced ECG datasets
Atrial fibrillation is a heart arrhythmia strongly associated with other heart-related
complications that can increase the risk of strokes and heart failure. Manual …
complications that can increase the risk of strokes and heart failure. Manual …
Arrhythmia classification algorithm based on multi-head self-attention mechanism
Cardiovascular disease is a major illness that causes human death, especially in the elderly.
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …
A new machine learning technique for an accurate diagnosis of coronary artery disease
Background and objective Coronary artery disease (CAD) is one of the commonest diseases
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
An ensemble of deep learning-based multi-model for ECG heartbeats arrhythmia classification
An automatic system for heart arrhythmia classification can perform a substantial role in
managing and treating cardiovascular diseases. In this paper, a deep learning-based multi …
managing and treating cardiovascular diseases. In this paper, a deep learning-based multi …
Digital twin perspective of fourth industrial and healthcare revolution
Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …
RETRACTED ARTICLE: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
The heart disease is one of the most serious health problems in today's world. Over 50
million persons have cardiovascular diseases around the world. Our proposed work based …
million persons have cardiovascular diseases around the world. Our proposed work based …