AIMC Topic: Wavelet Analysis

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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

Current medical imaging Jan 1, 2024
BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Predictive Value of Tests Coronary Angiography Risk Assessment Deep Learning Datasets as Topic Wavelet Analysis Computed Tomography Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Feature Learning Networks for Floor Sensor-based Gait Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Deep learning (DL) has become a powerful tool in many image classification applications but often requires large training sets to achieve high accuracy. For applications where the available data are limited, this can become a severely limiting factor...
Neural Networks, Computer Principal Component Analysis Humans Gait Wavelet Analysis
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2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural injury and cause impaired brain development. Preterm neonatal seizures are often not detected or their occurrence underestimated. Therefore, there is ...
Animals Deep Learning Fuzzy Logic Sheep Seizures Electroencephalography Fetus Hypoxia Epilepsy Wavelet Analysis
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The Effectiveness of Narrowing the Window size for LD & HD EMG Channels based on Novel Deep Learning Wavelet Scattering Transform Feature Extraction Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The use of the Electromyogram (EMG) signals as a source of control to command externally powered prostheses is often challenged by the signal complexity and non-stationary behavior. Mainly, two factors affect classification accuracy: selecting the op...
Wavelet Analysis Electromyography Artificial Limbs Algorithms Deep Learning
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A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet Transformed ECG Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Atrial fibrillation is the most common sustained cardiac arrhythmia and the electrocardiogram (ECG) is a powerful non-invasive tool for its clinical diagnosis. Automatic AF detection remains a very challenging task due to the high inter-patient varia...
Wavelet Analysis Diagnosis, Computer-Assisted Deep Learning Electrocardiography Atrial Fibrillation Humans
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[Epilepsy detection and analysis method for specific patient based on data augmentation and deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2022
In recent years, epileptic seizure detection based on electroencephalogram (EEG) has attracted the widespread attention of the academic. However, it is difficult to collect data from epileptic seizure, and it is easy to cause over fitting phenomenon ...
Humans Algorithms Seizures Signal Processing, Computer-Assisted Wavelet Analysis Electroencephalography Epilepsy Deep Learning Child
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Segmentation-free Heart Pathology Detection Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill to ma...
Heart Auscultation Heart Sounds Deep Learning Humans Wavelet Analysis Neural Networks, Computer
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[An anesthesia depth computing method study based on wavelet transform and artificial neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 25, 2021
General anesthesia is an essential part of surgery to ensure the safety of patients. Electroencephalogram (EEG) has been widely used in anesthesia depth monitoring for abundant information and the ability of reflecting the brain activity. The paper p...
Humans Anesthesia, General Electroencephalography Wavelet Analysis Neural Networks, Computer Algorithms
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Towards Interpretable Machine Learning in EEG Analysis.

Studies in health technology and informatics Sep 21, 2021
In this paper a machine learning model for automatic detection of abnormalities in electroencephalography (EEG) is dissected into parts, so that the influence of each part on the classification accuracy score can be examined. The most successful setu...
Wavelet Analysis Neural Networks, Computer Electroencephalography Algorithms Machine Learning Signal Processing, Computer-Assisted Support Vector Machine
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Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Stress analysis and assessment of affective states of mind using ECG as a physiological signal is a burning research topic in biomedical signal processing. However, existing literature provides only binary assessment of stress, while multiple levels ...
Signal Processing, Computer-Assisted Wavelet Analysis Neural Networks, Computer Electrocardiography
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