AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 211 to 220 of 342 articles

Surface-Electromyography-Based Gesture Recognition by Multi-View Deep Learning.

IEEE transactions on bio-medical engineering Feb 13, 2019
Gesture recognition using sparse multichannel surface electromyography (sEMG) is a challenging problem, and the solutions are far from optimal from the point of view of muscle-computer interface. In this paper, we address this problem from the contex...
Deep Learning Gestures User-Computer Interface Electromyography Datasets as Topic Humans
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High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.

IEEE transactions on bio-medical engineering Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
Sensitivity and Specificity Breast Neoplasms Biomarkers, Tumor Machine Learning Automation, Laboratory Female Microfluidic Analytical Techniques Staining and Labeling Coloring Agents Immunohistochemistry Humans
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Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

IEEE transactions on bio-medical engineering Feb 4, 2019
UNLABELLED: Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate.
Humans Machine Learning Genotype Brazil Phenotype Predictive Value of Tests Case-Control Studies Prognosis Genome, Human Polymorphism, Single Nucleotide Sensitivity and Specificity Severe Dengue
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Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Feb 1, 2019
OBJECTIVE: To develop an automated vessel wall segmentation method using convolutional neural networks to facilitate the quantification on magnetic resonance (MR) vessel wall images of patients with intracranial atherosclerotic disease (ICAD).
Male Middle Aged Imaging, Three-Dimensional Retrospective Studies Female Risk Factors Magnetic Resonance Angiography Humans Middle Cerebral Artery Contrast Media Neural Networks, Computer Intracranial Arteriosclerosis Image Interpretation, Computer-Assisted Automation
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Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images.

IEEE transactions on bio-medical engineering Jan 21, 2019
An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for computer-aided hepatic diseases diagnosis and treatment. Considering the possible risk to patient's health due to X-ray radiation of repetitive CT ex...
Image Processing, Computer-Assisted Liver Radiography, Abdominal Humans Neural Networks, Computer Tomography, X-Ray Computed
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Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.

IEEE transactions on bio-medical engineering Jan 10, 2019
Continuous human motion intent learning may be modeled using a Gaussian process (GP) autoregression based evolving system to cope with the unspecified and time-varying motion patterns. Electromyography (EMG) signals are the primary input. GP is used ...
Humans Machine Learning Algorithms Intention Normal Distribution Male Exoskeleton Device Signal Processing, Computer-Assisted Young Adult Electromyography Adult Biomechanical Phenomena
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Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography.

IEEE transactions on bio-medical engineering Jan 9, 2019
OBJECTIVE: Deep learning has recently been applied to electrical impedance tomography (EIT) imaging. Nevertheless, there are still many challenges that this approach has to face, e.g., targets with sharp corners or edges cannot be well recovered when...
Phantoms, Imaging Humans Tomography Lung Deep Learning Image Processing, Computer-Assisted Heart Electric Impedance
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Reliable Label-Efficient Learning for Biomedical Image Recognition.

IEEE transactions on bio-medical engineering Dec 27, 2018
The use of deep neural networks for biomedical image analysis requires a sufficient number of labeled datasets. To acquire accurate labels as the gold standard, multiple observers with specific expertise are required for both annotation and proofread...
Intestinal Polyps Humans Reproducibility of Results Deep Learning Endoscopy, Gastrointestinal Image Interpretation, Computer-Assisted
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Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings.

IEEE transactions on bio-medical engineering Dec 24, 2018
OBJECTIVE: Interpretation of the electroencephalographic (EEG) and magnetoencephalographic (MEG) signals requires off-line artifacts removal. Since artifacts share frequencies with brain activity, filtering is insufficient. Blind source separation, m...
Signal Processing, Computer-Assisted Artifacts Magnetoencephalography Brain Humans Deep Learning Algorithms Electroencephalography
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A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features.

IEEE transactions on bio-medical engineering Dec 20, 2018
UNLABELLED: Cough is a protective reflex conveying information on the state of the respiratory system. Cough assessment has been limited so far to subjective measurement tools or uncomfortable (i.e., non-wearable) cough monitors. This limits the pote...
Signal Processing, Computer-Assisted Humans Sound Spectrography Support Vector Machine Female Signal-To-Noise Ratio Aged Monitoring, Physiologic Cough Sensitivity and Specificity Male Middle Aged
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