AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 311 to 320 of 1081 articles

Graph-Driven Simultaneous and Proportional Estimation of Wrist Angle and Grasp Force via High-Density EMG.

IEEE journal of biomedical and health informatics May 6, 2024
Myoelectric prostheses are generally unable to accurately control the position and force simultaneously, prohibiting natural and intuitive human-machine interaction. This issue is attributed to the limitations of myoelectric interfaces in effectively...
Computer Graphics Man-Machine Systems Data Visualization Biomechanical Phenomena Deep Learning Electrodes Hand Strength Prostheses and Implants Correlation of Data Wrist Movement Humans Electromyography Neural Networks, Computer Data Analysis Young Adult Adult
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Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator-Optimized Stacking Ensemble Approaches.

IEEE journal of biomedical and health informatics May 6, 2024
Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. Therefore, predicting the activities of daily living (ADL) results of patients with stroke before hospital discharge can assist clinical workers in formu...
Stroke Rehabilitation Middle Aged Stroke Activities of Daily Living Adult Male Female Humans Aged Machine Learning Aged, 80 and over Algorithms
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ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection.

IEEE journal of biomedical and health informatics May 6, 2024
Mammography is an effective method for diagnosing breast diseases, and computer-aided detection (CAD) systems play an important role in the detection of breast masses. However, low contrast and the interference of surrounding tissues make the detecti...
Humans Neural Networks, Computer Algorithms Female Breast Neoplasms Mammography Radiographic Image Interpretation, Computer-Assisted Breast
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3D-DGGAN: A Data-Guided Generative Adversarial Network for High Fidelity in Medical Image Generation.

IEEE journal of biomedical and health informatics May 6, 2024
Three-dimensional images are frequently used in medical imaging research for classification, segmentation, and detection. However, the limited availability of 3D images hinders research progress due to network training difficulties. Generative method...
Tomography, X-Ray Computed Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos.

IEEE journal of biomedical and health informatics May 6, 2024
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the essential foundation for diagnosing congenital heart disease. Previous studies have mostly focused on the detection of adult CCs, which may not be applicable...
Heart Defects, Congenital Fetal Heart Ultrasonography, Prenatal Humans Video Recording Pregnancy Image Interpretation, Computer-Assisted Neural Networks, Computer Female Algorithms
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KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder.

IEEE journal of biomedical and health informatics May 6, 2024
CircRNA has been proved to play an important role in the diseases diagnosis and treatment. Considering that the wet-lab is time-consuming and expensive, computational methods are viable alternative in these years. However, the number of circRNA-disea...
Computational Biology RNA, Circular Humans Neural Networks, Computer Algorithms Deep Learning
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Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement.

IEEE journal of biomedical and health informatics May 6, 2024
Deep learning-based methods have been widely used in medical image segmentation recently. However, existing works are usually difficult to simultaneously capture global long-range information from images and topological correlations among feature map...
Algorithms Databases, Factual Deep Learning Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted
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Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis.

IEEE journal of biomedical and health informatics May 6, 2024
Major Depressive Disorder (MDD) imposes a substantial burden within the healthcare domain, impacting millions of individuals worldwide. Functional Magnetic Resonance Imaging (fMRI) has emerged as a promising tool for the objective diagnosis of MDD, e...
Neural Networks, Computer Algorithms Brain Humans Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Adult Young Adult Male Depressive Disorder, Major
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Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable Models.

IEEE journal of biomedical and health informatics May 6, 2024
When decoding neuroelectrophysiological signals represented by Magnetoencephalography (MEG), deep learning models generally achieve high predictive performance but lack the ability to interpret their predicted results. This limitation prevents them f...
Humans Signal Processing, Computer-Assisted Magnetoencephalography Algorithms Brain Deep Learning
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Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli.

IEEE journal of biomedical and health informatics May 6, 2024
Alzheimer's Disease (AD) is a neurodegenerative disorder that causes a continuous decline in cognitive functions and eventually results in death. An early AD diagnosis is important for taking active measures to slow its deterioration. Traditional dia...
Female Aged Aged, 80 and over Eye Movements Humans Alzheimer Disease Photic Stimulation Male Eye-Tracking Technology Deep Learning
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