AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 301 to 310 of 342 articles

Combination of Expert Knowledge and a Genetic Fuzzy Inference System for Automatic Sleep Staging.

IEEE transactions on bio-medical engineering Dec 18, 2015
OBJECTIVE: In this paper, the genetic fuzzy inference system based on expert knowledge for automatic sleep staging was developed.
Adult Male Adolescent Algorithms Female Humans Young Adult Electromyography Sleep Initiation and Maintenance Disorders Polysomnography Sleep Stages Fuzzy Logic Electroencephalography Signal Processing, Computer-Assisted
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Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

IEEE transactions on bio-medical engineering Nov 25, 2015
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.
Data Compression Subtraction Technique Sensitivity and Specificity Image Enhancement Algorithms Magnetic Resonance Imaging Phantoms, Imaging Artifacts Brain Sample Size Humans Pattern Recognition, Automated Reproducibility of Results Machine Learning
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A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

IEEE transactions on bio-medical engineering Nov 24, 2015
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain data. As a case study, the method was applied to electroencephalography (EEG) data collected during a G...
Pattern Recognition, Automated Electroencephalography Methadone Opioid-Related Disorders Female Reproducibility of Results Adult Diagnosis, Computer-Assisted Cognition Sensitivity and Specificity Male Neural Networks, Computer Machine Learning Brain Humans
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Learning Recurrent Waveforms Within EEGs.

IEEE transactions on bio-medical engineering Nov 10, 2015
GOAL: We demonstrate an algorithm to automatically learn the time-limited waveforms associated with phasic events that repeatedly appear throughout an electroencephalogram.
Humans Machine Learning Electroencephalography Signal Processing, Computer-Assisted Algorithms Databases, Factual Cluster Analysis
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Toward Standardized Acoustic Radiation Force (ARF)-Based Ultrasound Elasticity Measurements With Robotic Force Control.

IEEE transactions on bio-medical engineering Nov 2, 2015
OBJECTIVE: Acoustic radiation force (ARF)-based approaches to measure tissue elasticity require transmission of a focused high-energy acoustic pulse from a stationary ultrasound probe and ultrasound-based tracking of the resulting tissue displacement...
Humans Biomechanical Phenomena Equipment Design Phantoms, Imaging Elasticity Imaging Techniques Male Abdomen Robotics
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Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

IEEE transactions on bio-medical engineering Nov 2, 2015
Feature selection is a critical step in deformable image registration. In particular, selecting the most discriminative features that accurately and concisely describe complex morphological patterns in image patches improves correspondence detection,...
Humans Algorithms Brain Unsupervised Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.

IEEE transactions on bio-medical engineering Oct 26, 2015
Dexterity and procedural knowledge are two critical skills that surgeons need to master to perform accurate and safe surgical interventions. However, current training systems do not allow us to provide an in-depth analysis of surgical gestures to pre...
Robotic Surgical Procedures Pattern Recognition, Automated Humans Gestures Unsupervised Machine Learning
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.

IEEE transactions on bio-medical engineering Oct 1, 2015
GOAL: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks in multiple sessions of acquisition and extinction.
Neural Networks, Computer Algorithms Computer Simulation Action Potentials Cerebellum Neuronal Plasticity Models, Neurological Humans Blinking
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A Method for Automatic and Objective Scoring of Bradykinesia Using Orientation Sensors and Classification Algorithms.

IEEE transactions on bio-medical engineering Sep 18, 2015
Correct assessment of bradykinesia is a key element in the diagnosis and monitoring of Parkinson's disease. Its evaluation is based on a careful assessment of symptoms and it is quantified using rating scales, where the Movement Disorders Society-Spo...
Female Middle Aged Fingers Parkinson Disease Humans Aged Diagnosis, Computer-Assisted Supervised Machine Learning Male Hypokinesia Support Vector Machine
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A Robot-Driven Computational Model for Estimating Passive Ankle Torque With Subject-Specific Adaptation.

IEEE transactions on bio-medical engineering Aug 31, 2015
BACKGROUND: Robot-assisted ankle assessment could potentially be conducted using sensor-based and model-based methods. Existing ankle rehabilitation robots usually use torquemeters and multiaxis load cells for measuring joint dynamics. These measurem...
Therapy, Computer-Assisted Male Ankle Young Adult Robotics Humans Torque Adult Models, Biological Computer Simulation Range of Motion, Articular Biomechanical Phenomena Female Ankle Joint
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