AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 831 to 840 of 1118 articles

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.

IEEE journal of biomedical and health informatics Aug 28, 2019
There is much evidence that long non-coding RNA (lncRNA) is associated with many diseases. However, it is time-consuming and expensive to identify meaningful lncRNA-disease associations (LDAs) through medical or biological experiments. Therefore, inv...
Genetic Predisposition to Disease Humans Models, Statistical Computational Biology Neoplasms Supervised Machine Learning RNA, Long Noncoding
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A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.

IEEE journal of biomedical and health informatics Aug 27, 2019
Automatic sleep staging methods usually extract hand-crafted features or network trained features from signals recorded by polysomnography (PSG), and then estimate the stages by various classifiers. In this study, we propose a classification approach...
Male Middle Aged Adolescent Young Adult Adult Electrodiagnosis Neural Networks, Computer Humans Machine Learning Female Signal Processing, Computer-Assisted Polysomnography Sleep Stages
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Estimation of Vertical Ground Reaction Force Using Low-Cost Insole With Force Plate-Free Learning From Single Leg Stance and Walking.

IEEE journal of biomedical and health informatics Aug 23, 2019
For the evaluation of pathological gait, a machine learning-based estimation of the vertical ground reaction force (vGRF) using a low-cost insole is proposed as an alternative to costly force plates. However, learning a model for estimation still rel...
Equipment Design Walking Gait Analysis Leg Biomechanical Phenomena Male Posture Humans Machine Learning Young Adult Adult
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Synthesis of Electrocardiogram V-Lead Signals From Limb-Lead Measurement Using R-Peak Aligned Generative Adversarial Network.

IEEE journal of biomedical and health informatics Aug 21, 2019
Recently, portable electrocardiogram (ECG) hardware devices have been developed using limb-lead measurements. However, portable ECGs provide insufficient ECG information because of limitations in the number of leads and measurement positions. Therefo...
Humans Machine Learning Heart Diseases Thorax Electrocardiography Extremities Signal Processing, Computer-Assisted Heart
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Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results.

IEEE journal of biomedical and health informatics Aug 19, 2019
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are a visual pattern which essentially represe...
Phantoms, Imaging Image Interpretation, Computer-Assisted Artifacts Humans Lung Deep Learning Ultrasonography Lung Diseases Supervised Machine Learning
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Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Aug 12, 2019
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc Ratio (CDR) serves as the most important indicator for glaucoma screening and plays a significant role in clinical screening and early diagnosis of glaucoma. In...
Supervised Machine Learning Image Interpretation, Computer-Assisted Optic Disk Humans Diagnostic Techniques, Ophthalmological Glaucoma
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Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning.

IEEE journal of biomedical and health informatics Aug 9, 2019
State-of-the-art electroencephalogram (EEG)-based emotion-classification works indicate that a personalized model may not be well exploited until sufficient labeled data are available, given a substantial EEG non-stationarity over days. However, it i...
Principal Component Analysis Humans Machine Learning Electroencephalography Signal Processing, Computer-Assisted Female Male Emotions
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Automation of the Timed-Up-and-Go Test Using a Conventional Video Camera.

IEEE journal of biomedical and health informatics Aug 9, 2019
The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more r...
Male Deep Learning Adolescent Female Young Adult Adult Automation Gait Analysis Image Processing, Computer-Assisted Exercise Test Video Recording Humans Algorithms
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Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.

IEEE journal of biomedical and health informatics Aug 9, 2019
Mild cognitive impairment (MCI) is an intermediate stage of brain cognitive decline, associated with increasing risk of developing Alzheimer's disease (AD). It is believed that early treatment of MCI could slow down the progression of AD, and functio...
Humans Image Interpretation, Computer-Assisted Sensitivity and Specificity Machine Learning Cognitive Dysfunction Brain Magnetic Resonance Imaging
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Relative Afferent Pupillary Defect Screening Through Transfer Learning.

IEEE journal of biomedical and health informatics Aug 7, 2019
Abnormalities in pupillary light reflex can indicate optic nerve disorders that may lead to permanent visual loss if not diagnosed in an early stage. In this study, we focus on relative afferent pupillary defect (RAPD), which is based on the differen...
Humans Machine Learning ROC Curve Diagnostic Techniques, Ophthalmological Pupil Disorders Reflex, Pupillary Telemedicine Image Interpretation, Computer-Assisted Pupil
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