AIMC Topic: Wavelet Analysis

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FDuDoCLNet: Fully dual-domain contrastive learning network for parallel MRI reconstruction.

Magnetic resonance imaging Jan 24, 2025
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is widely used for high-resolution imaging of soft tissues and organs. However, the slow speed of MRI imaging, especially in high-resolution or dynamic scans, makes MRI...
Wavelet Analysis Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Deep Learning Neural Networks, Computer
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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images.

BMC medical informatics and decision making Jan 21, 2025
BACKGROUND: As the incidence and prevalence of Atrial Fibrillation (AF) proliferate worldwide, the condition has become the epicenter of a plethora of ECG diagnostic research. In recent diagnostic methodologies, Morse Continuous Wavelet Transform (Ms...
Humans Deep Learning Wavelet Analysis Electrocardiography Atrial Fibrillation
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Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease.

IEEE journal of biomedical and health informatics Jan 7, 2025
Emerging researchindicates that the degenerative biomarkers associated with Alzheimer's disease (AD) exhibit a non-random distribution within the cerebral cortex, instead following the structural brain network. The alterations in brain networks occur...
Alzheimer Disease Image Interpretation, Computer-Assisted Wavelet Analysis Neural Networks, Computer Brain Humans
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A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection.

BMC medical informatics and decision making Jan 6, 2025
BACKGROUND: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analys...
Epilepsy Seizures Wavelet Analysis Support Vector Machine Electroencephalography Neural Networks, Computer Deep Learning Humans
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Automated ultrasonography of hepatocellular carcinoma using discrete wavelet transform based deep-learning neural network.

Medical image analysis Jan 4, 2025
This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatocellular carcinoma (HCC) from abdominal ultrasound (US) images using artificial neural networks. The HCC-Net integrates the discrete wavelet transform (...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Wavelet Analysis Ultrasonography Liver Neoplasms Carcinoma, Hepatocellular Sensitivity and Specificity Deep Learning
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A parallel CNN architecture for sport activity recognition based on minimal movement data.

Scientific reports Dec 30, 2024
Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. Such progress benefits all age groups of huma...
Fourier Analysis Wavelet Analysis Sports Movement Machine Learning Algorithms Humans Neural Networks, Computer
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Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data.

Scientific reports Dec 28, 2024
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth. Prompt risk prediction of CAD wou...
Humans Machine Learning Algorithms Neural Networks, Computer Decision Making Coronary Artery Disease Wavelet Analysis Clinical Decision-Making Fuzzy Logic
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Fluorescence excitation-emission matrix spectroscopy combined with machine learning for the classification of viruses for respiratory infections.

Talanta Dec 27, 2024
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing between various harmful viruses through simple analysis. In this study, we utilized fluorescence excitation-emission matrix (EEM) spectroscopy as a ra...
Spectrometry, Fluorescence Respiratory Tract Infections Wavelet Analysis Machine Learning Support Vector Machine Rhinovirus Viruses Fourier Analysis Humans
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Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.

Sensors (Basel, Switzerland) Dec 17, 2024
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbea...
Electrocardiography Signal Processing, Computer-Assisted Wavelet Analysis Arrhythmias, Cardiac Algorithms Databases, Factual Deep Learning Humans Neural Networks, Computer
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Detecting fast-ripples on both micro- and macro-electrodes in epilepsy: A wavelet-based CNN detector.

Journal of neuroscience methods Dec 14, 2024
BACKGROUND: Fast-ripples (FR) are short (∼10 ms) high-frequency oscillations (HFO) between 200 and 600 Hz that are helpful in epilepsy to identify the epileptogenic zone. Our aim is to propose a new method to detect FR that had to be efficient for in...
Electrocorticography Signal Processing, Computer-Assisted Wavelet Analysis Brain Waves Electroencephalography Epilepsy Humans Neural Networks, Computer Adult Male Female
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