AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 251 to 260 of 342 articles

Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.

IEEE transactions on bio-medical engineering Mar 22, 2018
GOAL: We present a model-based feature augmentation scheme to improve the performance of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets with respect to learning from images alone.
Models, Cardiovascular Heart Image Interpretation, Computer-Assisted Catheter Ablation Humans Sensitivity and Specificity Magnetic Resonance Imaging Machine Learning Algorithms
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Detecting Vascular Age Using the Analysis of Peripheral Pulse.

IEEE transactions on bio-medical engineering Mar 9, 2018
UNLABELLED: Vascular ageing is known to be accompanied by arterial stiffening and vascular endothelial dysfunction, and represents an independent factor contributing to the development of cardiovascular disease. The microvascular pulse is affected by...
Middle Aged Infant Adolescent Young Adult Adult Aging Pulse Wave Analysis Signal Processing, Computer-Assisted Laser-Doppler Flowmetry Pulse Child, Preschool Child Support Vector Machine Humans Aged Aged, 80 and over Algorithms Infant, Newborn Microvessels
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Medical Image Synthesis with Deep Convolutional Adversarial Networks.

IEEE transactions on bio-medical engineering Mar 9, 2018
Medical imaging plays a critical role in various clinical applications. However, due to multiple considerations such as cost and radiation dose, the acquisition of certain image modalities may be limited. Thus, medical image synthesis can be of great...
Pelvis Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Humans Brain
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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms.

IEEE transactions on bio-medical engineering Mar 6, 2018
A multiple instance dictionary learning approach, dictionary learning using functions of multiple instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signal...
Humans Algorithms Female Signal Processing, Computer-Assisted Supervised Machine Learning Heart Rate Ballistocardiography Young Adult Adult Male
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Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing.

IEEE transactions on bio-medical engineering Feb 19, 2018
OBJECTIVE: The aim of this research was to develop a swallowing assessment method to help prevent aspiration pneumonia. The method uses simple sensors to monitor swallowing function during an individual's daily life.
Adult Male Middle Aged Respiration Deglutition Disorders Deglutition Monitoring, Physiologic Larynx Signal Processing, Computer-Assisted Humans Aged Machine Learning Aged, 80 and over Female Young Adult
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Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.

IEEE transactions on bio-medical engineering Feb 16, 2018
OBJECTIVE: Analysis of functional magnetic resonance imaging (fMRI) data from multiple subjects is at the heart of many medical imaging studies, and approaches based on dictionary learning (DL) are recently noted as promising solutions to the problem...
Magnetic Resonance Imaging Algorithms Humans Databases, Factual Brain Supervised Machine Learning Image Processing, Computer-Assisted
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Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.

IEEE transactions on bio-medical engineering Feb 5, 2018
OBJECTIVE: Electrophysiological muscle classification (EMC) is a crucial step in the diagnosis of neuromuscular disorders. Existing quantitative techniques are not sufficiently robust and accurate to be reliably clinically used. Here, EMC is modeled ...
Entropy Electrophysiological Phenomena Unsupervised Machine Learning Electromyography Wavelet Analysis Adult Middle Aged Muscle, Skeletal Humans Aged, 80 and over Young Adult Algorithms Aged
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Classification of Pre-Clinical Seizure States Using Scalp EEG Cross-Frequency Coupling Features.

IEEE transactions on bio-medical engineering Jan 25, 2018
OBJECTIVE: This work proposes a machine-learning based system for a scalp EEG that flags an alarm in advance of a clinical seizure onset.
Electroencephalography Humans Seizures Signal Processing, Computer-Assisted Machine Learning Scalp ROC Curve
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Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

IEEE transactions on bio-medical engineering Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
Heart-Assist Devices Viscosity Models, Cardiovascular Signal Processing, Computer-Assisted Supervised Machine Learning Hematocrit Humans Hemodynamics Algorithms Monitoring, Physiologic Databases, Factual
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Focal Onset Seizure Prediction Using Convolutional Networks.

IEEE transactions on bio-medical engineering Dec 25, 2017
OBJECTIVE: This paper investigates the hypothesis that focal seizures can be predicted using scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish between the interictal and preictal regions. The second aim is to ...
Wavelet Analysis Humans Databases, Factual Scalp Electroencephalography Neural Networks, Computer Seizures Algorithms
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