AIMC Topic: Signal Processing, Computer-Assisted

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Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms.

Scientific reports Sep 13, 2024
The world has a higher count of death rates as a result of Alcohol consumption. Identification is possible because Alcoholic EEG waves have a certain behavior that is totally different compared to the non-alcoholic individual. The available approache...
Electroencephalography Signal Processing, Computer-Assisted Alcoholism Algorithms Deep Learning Humans Neural Networks, Computer
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Prediction of Vascular Access Stenosis by Lightweight Convolutional Neural Network Using Blood Flow Sound Signals.

Sensors (Basel, Switzerland) Sep 12, 2024
This research examines the application of non-invasive acoustic analysis for detecting obstructions in vascular access (fistulas) used by kidney dialysis patients. Obstructions in these fistulas can interrupt essential dialysis treatment. In this stu...
Vascular Access Devices Humans Constriction, Pathologic Neural Networks, Computer Sound Deep Learning Renal Dialysis Signal Processing, Computer-Assisted Female Male Middle Aged
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Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2024
Estimating intracranial current sources underlying the electromagnetic signals observed from extracranial sensors is a perennial challenge in non-invasive neuroimaging. Established solutions to this inverse problem treat time samples independently wi...
Electroencephalography Signal Processing, Computer-Assisted Female Evoked Potentials Humans Magnetoencephalography Neural Networks, Computer Adult Brain Male
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SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.

Computers in biology and medicine Sep 11, 2024
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional machine learning models. However, unlike other fields, EEG decoding lacks comprehensive open-source libraries dedicated to neural networks. Existing tools...
Signal Processing, Computer-Assisted Benchmarking Humans Neural Networks, Computer Software Brain Deep Learning Electroencephalography
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Linear symmetric self-selecting 14-bit kinetic molecular memristors.

Nature Sep 11, 2024
Artificial Intelligence (AI) is the domain of large resource-intensive data centres that limit access to a small community of developers. Neuromorphic hardware promises greatly improved space and energy efficiency for AI but is presently only capable...
Neural Networks, Computer Artificial Intelligence Signal Processing, Computer-Assisted Thermodynamics Fourier Analysis Kinetics Ligands Signal-To-Noise Ratio
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Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Sep 10, 2024
Emotion is a complex state caused by the functioning of the human brain in relation to various events, for which there is no scientific definition. Emotion recognition is traditionally conducted by psychologists and experts based on facial expression...
Algorithms Brain Emotions Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Neural Networks, Computer
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A Pre-Voiding Alarm System Using Wearable Ultrasound and Machine Learning Algorithms for Children With Nocturnal Enuresis.

IEEE journal of translational engineering in health and medicine Sep 10, 2024
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-voiding systems is of little value in training a child into a correct voiding routing while existing pre-voiding systems suffer from several practical ...
Nocturnal Enuresis Wearable Electronic Devices Algorithms Child Urinary Bladder Ultrasonography Equipment Design Humans Clinical Alarms Female Signal Processing, Computer-Assisted Machine Learning Male Urination
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Siamese based deep neural network for ADHD detection using EEG signal.

Computers in biology and medicine Sep 9, 2024
BACKGROUND: Detecting Attention-Deficit/Hyperactivity Disorder (ADHD) in children is crucial for timely intervention and personalized treatment.
Humans Adolescent Child Electroencephalography Signal Processing, Computer-Assisted Attention Deficit Disorder with Hyperactivity Neural Networks, Computer Female Brain Male Deep Learning
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3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection.

Computers in biology and medicine Sep 9, 2024
Cardiovascular diseases represent the leading global cause of death, typically diagnosed and addressed through electrocardiograms (ECG), which record the heart's electrical activity. In recent years, there has been a notable surge in ECG recordings, ...
Arrhythmias, Cardiac Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans
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Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism.

Scientific reports Sep 9, 2024
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other vital signs. However, a major hurdle lies in the privacy concerns surrounding these datasets, which often contain sensitive patient information. Balan...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Atrial Fibrillation Heart Rate Machine Learning Deep Learning Electrocardiography
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