AIMC Journal:
IEEE transactions on bio-medical engineering

Showing 261 to 270 of 342 articles

Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.

IEEE transactions on bio-medical engineering Dec 20, 2017
OBJECTIVE: Hemorrhagic transformation (HT) is the most severe complication of reperfusion therapy in acute ischemic stroke (AIS) patients. Management of AIS patients could benefit from accurate prediction of upcoming HT. While prediction of HT occurr...
Aged, 80 and over Male Humans Middle Aged Machine Learning Neural Networks, Computer Endovascular Procedures Female Reperfusion Magnetic Resonance Angiography Aged Cerebral Hemorrhage Stroke Image Interpretation, Computer-Assisted
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Tensor Decomposition of Gait Dynamics in Parkinson's Disease.

IEEE transactions on bio-medical engineering Dec 4, 2017
OBJECTIVE: The study of gait in Parkinson's disease is important because it can provide insights into the complex neural system and physiological behaviors of the disease, of which understanding can help improve treatment and lead to effective develo...
Parkinson Disease Aged Humans Signal Processing, Computer-Assisted Male Algorithms Gait Middle Aged Female Pattern Recognition, Automated Gait Analysis
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Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images.

IEEE transactions on bio-medical engineering Oct 13, 2017
OBJECTIVE: Left ventricular (LV) volume estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address a direct LV volume prediction task.
Humans Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Neural Networks, Computer Algorithms Magnetic Resonance Imaging
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Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

IEEE transactions on bio-medical engineering Sep 25, 2017
OBJECTIVE: This paper proposes a novel method to localize origins of premature ventricular contractions (PVCs) from 12-lead electrocardiography (ECG) using convolutional neural network (CNN) and a realistic computer heart model.
Algorithms Adult Female Ventricular Premature Complexes Male Aged Humans Electrocardiography Middle Aged Neural Networks, Computer Signal Processing, Computer-Assisted
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A Functional-Genetic Scheme for Seizure Forecasting in Canine Epilepsy.

IEEE transactions on bio-medical engineering Sep 13, 2017
OBJECTIVE: The objective of this work is the development of an accurate seizure forecasting algorithm that considers brain's functional connectivity for electrode selection.
Signal Processing, Computer-Assisted Dogs Electrocorticography Animals Support Vector Machine Cluster Analysis Epilepsy
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A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System.

IEEE transactions on bio-medical engineering Aug 24, 2017
OBJECTIVE: Gait analysis of animal disease models can provide valuable insights into in vivo compound effects and thus help in preclinical drug development. The purpose of this paper is to establish a computational gait analysis approach for the Nold...
Walking Gait Parkinsonian Disorders Foot Oxidopamine Pattern Recognition, Automated Gait Analysis Disease Models, Animal Mice, Inbred C57BL Signal Processing, Computer-Assisted Animals Male Mice Machine Learning Female
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Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.

IEEE transactions on bio-medical engineering Aug 21, 2017
OBJECTIVE: This paper tackles the problem of transfer learning in the context of electroencephalogram (EEG)-based brain-computer interface (BCI) classification. In particular, the problems of cross-session and cross-subject classification are conside...
Models, Theoretical Electroencephalography Brain-Computer Interfaces Humans Machine Learning Databases, Factual
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Quantitative Testing of fMRI-Compatibility of an Electrically Active Mechatronic Device for Robot-Assisted Sensorimotor Protocols.

IEEE transactions on bio-medical engineering Aug 17, 2017
OBJECTIVE: To develop a quantitative set of methods for testing the functional magnetic resonance imaging (fMRI) compatibility of an electrically-active mechatronic device developed to support sensorimotor protocols during fMRI.
Robotics Signal-To-Noise Ratio Task Performance and Analysis Motor Skills Humans Brain Magnetic Resonance Imaging Phantoms, Imaging
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A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

IEEE transactions on bio-medical engineering Jul 24, 2017
OBJECTIVE: Acute coronary syndrome (ACS), as a common and severe cardiovascular disease, is a leading cause of death and the principal cause of serious long-term disability globally. Clinical risk prediction of ACS is important for early intervention...
Risk Assessment Deep Learning Computational Biology Reproducibility of Results Humans Data Mining Risk Factors Acute Coronary Syndrome Electronic Health Records Male Female
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Turn Intent Detection For Control of a Lower Limb Prosthesis.

IEEE transactions on bio-medical engineering Jun 28, 2017
OBJECTIVE: An adaptable lower limb prosthesis with variable stiffness in the transverse plane requires a control method to effect changes in real time during amputee turning. This study aimed to identify classification algorithms that can accurately ...
Signal Processing, Computer-Assisted Electromyography Amputees Intention Leg Walking Artificial Limbs Male Humans Middle Aged Machine Learning Support Vector Machine Aged Adult
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