AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 1101 to 1110 of 1118 articles

A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-Channel EEG.

IEEE journal of biomedical and health informatics Nov 1, 2024
Sleep staging is a crucial task in sleep monitoring and diagnosis, but clinical sleep staging is both time-consuming and subjective. In this study, we proposed a novel deep learning algorithm named feature fusion temporal convolutional network (FFTCN...
Female Young Adult Adult Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Wavelet Analysis Sleep Stages Male Deep Learning Electroencephalography Humans
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MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal.

IEEE journal of biomedical and health informatics Jul 1, 2024
Major depressive disorder (MDD) is a chronic mental illness which affects people's well-being and is often detected at a later stage of depression with a likelihood of suicidal ideation. Early detection of MDD is thus necessary to reduce the impact, ...
Male Depressive Disorder, Major Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Algorithms Adult
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Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network.

IEEE journal of biomedical and health informatics Jun 1, 2024
Monitoring in-bed pose estimation based on the Internet of Medical Things (IoMT) and ambient technology has a significant impact on many applications such as sleep-related disorders including obstructive sleep apnea syndrome, assessment of sleep qual...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Posture Beds
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ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

IEEE journal of biomedical and health informatics Oct 1, 2023
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with heterogeneous subpopulations, or subtypes, that exhibit distinct clinical characteristics. Risk models...
Intensive Care Units Deep Learning Sepsis Humans Neural Networks, Computer Respiratory Distress Syndrome
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Natural Grasp Intention Recognition Based on Gaze in Human-Robot Interaction.

IEEE journal of biomedical and health informatics Apr 1, 2023
OBJECTIVE: While neuroscience research has established a link between vision and intention, studies on gaze data features for intention recognition are absent. The majority of existing gaze-based intention recognition approaches are based on delibera...
Humans Hand Strength Robotics Motion Intention Movement
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An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation.

IEEE journal of biomedical and health informatics Feb 1, 2023
High Resolution (HR) medical images provide rich anatomical structure details to facilitate early and accurate diagnosis. In magnetic resonance imaging (MRI), restricted by hardware capacity, scan time, and patient cooperation ability, isotropic 3-di...
Datasets as Topic Signal-To-Noise Ratio Health Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Brain Deep Learning
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AI in Medical Imaging Informatics: Current Challenges and Future Directions.

IEEE journal of biomedical and health informatics Jul 1, 2020
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in me...
Medical Informatics Humans Image Processing, Computer-Assisted Artificial Intelligence Diagnostic Imaging Precision Medicine Image Interpretation, Computer-Assisted Big Data
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HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction.

IEEE journal of biomedical and health informatics Jul 1, 2019
The discovery of disease-causing genes is a critical step towards understanding the nature of a disease and determining a possible cure for it. In recent years, many computational methods to identify disease genes have been proposed. However, making ...
Computational Biology Databases, Genetic Models, Statistical Disease Humans Machine Learning Algorithms
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A Multi-View Deep Learning Framework for EEG Seizure Detection.

IEEE journal of biomedical and health informatics Jan 1, 2019
The recent advances in pervasive sensing technologies have enabled us to monitor and analyze the multi-channel electroencephalogram (EEG) signals of epilepsy patients to prevent serious outcomes caused by epileptic seizures. To avoid manual visual in...
Adult Male Deep Learning Female Young Adult ROC Curve Electroencephalography Seizures Humans Epilepsy Signal Processing, Computer-Assisted Algorithms Adolescent Child, Preschool Child
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Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region.

IEEE journal of biomedical and health informatics May 1, 2018
In this paper, the automatic detection of neovascularization in the optic disc region (NVD) for color fundus retinal image is presented. NV is the indicator for the onset of proliferative diabetic retinopathy and it is featured by the presence of new...
Machine Learning Image Interpretation, Computer-Assisted Support Vector Machine Diagnostic Techniques, Ophthalmological Optic Disk Humans Neovascularization, Pathologic Diabetic Retinopathy
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