Fourier-Bessel representation for signal processing: A review
Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …
domain signal in different domains like frequency-domain representation based on Fourier …
A novel automated CNN arrhythmia classifier with memory-enhanced artificial hummingbird algorithm
E Kıymaç, Y Kaya - Expert Systems with Applications, 2023 - Elsevier
Cardiac arrhythmias indicate cardiovascular disease which is the leading cause of mortality
worldwide, and can be detected by an electrocardiogram (ECG). Automated deep learning …
worldwide, and can be detected by an electrocardiogram (ECG). Automated deep learning …
[HTML][HTML] Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Cardiovascular diseases (CVDs) are a global health concern, demanding advanced
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …
healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis …
ECG heartbeats classification with dilated convolutional autoencoder
Electrocardiography is essential for the early diagnosis and treatment of heart diseases, as
undiagnosed heart diseases can lead to unfortunate outcomes such as patient loss …
undiagnosed heart diseases can lead to unfortunate outcomes such as patient loss …
Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals
Cardiac arrhythmia is a typically clinical manifestation of cardiovascular disease which leads
to serious health problem. Detection of arrhythmia is traditionally relying on manual …
to serious health problem. Detection of arrhythmia is traditionally relying on manual …
Target-oriented augmentation privacy-protection domain adaptation for imbalanced ECG beat classification
L Yuan, MY Siyal - Biomedical Signal Processing and Control, 2023 - Elsevier
Computer aided diagnosis (CAD) systems based on ECG signals have become
indispensable tools in the automatic detection of Arrhythmia, significantly reducing human …
indispensable tools in the automatic detection of Arrhythmia, significantly reducing human …
Categorization of Indian residential consumers electrical energy consumption pattern using clustering and classification techniques
S Palaniappan, S Karuppannan, D Velusamy - Energy, 2024 - Elsevier
Data Mining techniques are widely applied in power sector to analyze the electricity
consumption pattern (ECP) of consumers for implementing effective demand response …
consumption pattern (ECP) of consumers for implementing effective demand response …
Ensemble classifier fostered detection of arrhythmia using ECG data
M Ramkumar, M Alagarsamy, A Balakumar… - Medical & Biological …, 2023 - Springer
Electrocardiogram (ECG) is a non-invasive medical tool that divulges the rhythm and
function of the human heart. This is broadly employed in heart disease detection including …
function of the human heart. This is broadly employed in heart disease detection including …
A Hybrid Framework of Transformer Encoder and Residential Conventional for Cardiovascular Disease Recognition Using Heart Sounds
Valvular heart disease (VHD) is one of the primary causes of cardiovascular illnesses with
high mortality rates worldwide. Early detection of VHD enables optimal treatment and stops …
high mortality rates worldwide. Early detection of VHD enables optimal treatment and stops …
Deep Image Guiding: Guide Knee Ultrasound Scanning using Hierarchical Classification and Retrieval
CM Lo, KL Lai - IEEE Transactions on Instrumentation and …, 2024 - ieeexplore.ieee.org
Ultrasound has an invaluable role in assessing musculoskeletal conditions, particularly the
knee joint. However, it requires a long learning time for junior sonographers to mature their …
knee joint. However, it requires a long learning time for junior sonographers to mature their …