Integrated s-transform-based learning system for detection of arrhythmic fetus
Measurement of abnormal heartbeat rhythm of a fetus to detect arrhythmia using fetal-
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
Cnn and svm-based models for the detection of heart failure using electrocardiogram signals
J Botros, F Mourad-Chehade, D Laplanche - Sensors, 2022 - mdpi.com
Heart failure (HF) is a serious condition in which the heart fails to supply the body with
enough oxygen and nutrients to function normally. Early and accurate detection of heart …
enough oxygen and nutrients to function normally. Early and accurate detection of heart …
High-resolution superlet transform based techniques for Parkinson's disease detection using speech signal
Parkinson's Disease (PD) is a matter of great concern when it comes to the health
management of elderly people. Tremors, muscle stiffness, change in cognitive abilities, and …
management of elderly people. Tremors, muscle stiffness, change in cognitive abilities, and …
Automatic seizure detection and classification using super-resolution superlet transform and deep neural network-A preprocessing-less method
Context Epilepsy, characterized by recurrent seizures, is a chronic brain disease that affects
approximately 50 million. Recurrent seizures characterize it. A seizure, a burst of …
approximately 50 million. Recurrent seizures characterize it. A seizure, a burst of …
[HTML][HTML] Cat-net: Convolution, attention, and transformer based network for single-lead ecg arrhythmia classification
Abstract Machine learning technologies have been applied extensively in the last decade to
automatically detect and analyze various forms of arrhythmia from electrocardiogram (ECG) …
automatically detect and analyze various forms of arrhythmia from electrocardiogram (ECG) …
Gsmd-srst: Group sparse mode decomposition and superlet transform based technique for multi-level classification of cardiac arrhythmia
Cardiac arrhythmia is caused due to the irregularity of the heartbeat and heart rhythm, which
increases the complications leading to the risk of heart strokes. Atrial fibrillation (AF) and …
increases the complications leading to the risk of heart strokes. Atrial fibrillation (AF) and …
A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia
Background and objectives Cardiac arrhythmias are a significant cause of morbidity and
mortality in patients with cardiovascular disease. Accurate rhythm diagnosis is critical in …
mortality in patients with cardiovascular disease. Accurate rhythm diagnosis is critical in …
Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model
WS Admass, GA Bogale - Biomedical Signal Processing and Control, 2024 - Elsevier
In healthcare facilities, the most common and least expensive diagnostic tool for monitoring
electrical signals in the heart is the Electrocardiogram (ECG). Arrhythmia is nothing but …
electrical signals in the heart is the Electrocardiogram (ECG). Arrhythmia is nothing but …
Design of hardware-efficient PVC recognition and classification system for early detection of sudden cardiac arrests
Sudden cardiac arrest (SCA) is a critical cardiovascular condition that needs greater
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
IF equation: A feature extractor for high-concentration time–frequency representation and application to mixed signals analysis
X Zhu, K Yang, Z Zhang, W Li - Measurement, 2025 - Elsevier
High-concentration time-frequency (TF) representation provides a valuable tool for
characterizing multi-component non-stationary signals. Our previous work proposed using …
characterizing multi-component non-stationary signals. Our previous work proposed using …