A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification
Y Xia, Y Xiong, K Wang - Biomedical Signal Processing and Control, 2023 - Elsevier
Researchers have proposed numerous novel features and models under the intra-patient
paradigm. However, their performance suffers when considering the inter-patient paradigm …
paradigm. However, their performance suffers when considering the inter-patient paradigm …
Non-invasive covid-19 screening using deep learning-based multilevel fusion model with an attention mechanism
MS Hossain, M Shorfuzzaman - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The current pandemic has necessitated rapid and automatic detection of coronavirus
disease (COVID-19) infections. Various artificial intelligence functionalities coupled with …
disease (COVID-19) infections. Various artificial intelligence functionalities coupled with …
Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach
CK Jha - Computer Methods in Biomechanics and Biomedical …, 2024 - Taylor & Francis
Abnormal cardiac functionality produces irregular heart rhythms which are commonly known
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
Arrhythmia detection based on WGAN-GP and SE-ResNet1D
J Qin, F Gao, Z Wang, L Liu, C Ji - Electronics, 2022 - mdpi.com
A WGAN-GP-based ECG signal expansion and an SE-ResNet1D-based ECG classification
method are proposed to address the problem of poor modeling results due to the …
method are proposed to address the problem of poor modeling results due to the …
Classification of inter-patient's cardiac arrhythmias in ECG signals with enhanced Jaya optimized TQWT parameters and stacked ensemble algorithm
K Ramasamy, K Balakrishnan, D Velusamy - Soft Computing, 2023 - Springer
Cardiac arrhythmia (CA) is an irregular rhythm that can cause an increase or decrease in
heart rate. Electrocardiogram (ECG) is a noninvasive diagnostic technique widely used to …
heart rate. Electrocardiogram (ECG) is a noninvasive diagnostic technique widely used to …
CLSTM-Transformer: inter-patient ECG classification for ventricular arrhythmia
J Wang, T Liu, M Zang, Q Wang - International Conference on …, 2023 - spiedigitallibrary.org
Ventricular arrhythmia is a common arrhythmia diseases, which poses a severe threaten to
human health. Electrocardiogram (ECG) carries plenty of pathological information about the …
human health. Electrocardiogram (ECG) carries plenty of pathological information about the …
Detection and Classification of Arrhythmia Using Hybrid Deep Learning Model
T Kodavati, M Rithani, K Venkatraman… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Cardiovascular disorders, encompassing arrhythmias rhythms, represent noteworthy
worldwide health issues that necessitate prompt identification and precise categorization to …
worldwide health issues that necessitate prompt identification and precise categorization to …