AIMC Journal:
IEEE transactions on bio-medical engineering
Showing 291 to 300 of 342 articles
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal.
IEEE transactions on bio-medical engineering
Jun 29, 2016
OBJECTIVE: This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics o...
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE transactions on bio-medical engineering
May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Radiation Protection
Algorithms
Reproducibility of Results
Image Enhancement
Humans
Sensitivity and Specificity
Multimodal Imaging
Radiation Dosage
Magnetic Resonance Imaging
Supervised Machine Learning
Radiation Exposure
Positron-Emission Tomography
Subtraction Technique
Pattern Recognition, Automated
Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.
IEEE transactions on bio-medical engineering
Apr 15, 2016
GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly detection problem. Manual removal is currently considered the gold standard, but this approach is laborious and subjective. Most existing automated t...
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE transactions on bio-medical engineering
Apr 13, 2016
Sparse learning has been widely investigated for analysis of brain images to assist the diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment. However, most existing sparse learning-based studies only adopt cross-s...
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies.
IEEE transactions on bio-medical engineering
Mar 24, 2016
OBJECTIVES: The development of neurorehabilitation technologies requires the profound understanding of the mechanisms underlying an individual's motor ability and impairment. A major factor limiting this understanding is the difficulty of bridging be...
High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal.
IEEE transactions on bio-medical engineering
Mar 8, 2016
Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clinical cardiovascular domain. Long-term ECG is primarily used for the detection of various cardiovascular diseases that are caused by various cardiac arr...
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images.
IEEE transactions on bio-medical engineering
Feb 26, 2016
GOAL: In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained fully connected conditional random field model.
A Novel Sparse Dictionary Learning Separation (SDLS) Model With Adaptive Dictionary Mutual Incoherence Constraint for fMRI Data Analysis.
IEEE transactions on bio-medical engineering
Feb 23, 2016
OBJECTIVE: Many studies have shown that the independence assumption in the widely-used ICAs is not adaptive enough for brain functional networks (BFN) detection due to the complex brain hemodynamics, functional integration, artifacts embedded in func...
Computer-Aided Endoscopic Diagnosis Without Human-Specific Labeling.
IEEE transactions on bio-medical engineering
Feb 15, 2016
GOAL: Most state-of-the-art computer-aided endoscopic diagnosis methods require pixelwise labeled data to train various supervised machine learning models. However, it is a tedious and time-consuming work to collect sufficient precisely labeled image...
Control of a Robotic Hand Using a Tongue Control System-A Prosthesis Application.
IEEE transactions on bio-medical engineering
Jan 13, 2016
OBJECTIVE: The aim of this study was to investigate the feasibility of using an inductive tongue control system (ITCS) for controlling robotic/prosthetic hands and arms.
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