AIMC Topic: Sensitivity and Specificity

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Performing Complex Tasks by Users With Upper-Extremity Disabilities Using a 6-DOF Robotic Arm: A Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 26, 2016
In this paper, we report on the results of a study that was conducted to examine how users suffering from severe upper-extremity disabilities can control a 6 degrees-of-freedom (DOF) robotics arm to complete complex activities of daily living. The fo...
Robotics Equipment Design Psychomotor Performance Equipment Failure Analysis Upper Extremity Man-Machine Systems Neurological Rehabilitation Movement Disorders Reproducibility of Results Sensitivity and Specificity Male Middle Aged Humans Female
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Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks.

Scientific reports Aug 26, 2016
Ventricular tachycardia (VT) is a potentially fatal tachyarrhythmia, which causes a rapid heartbeat as a result of improper electrical activity of the heart. This is a potentially life-threatening arrhythmia because it can cause low blood pressure an...
Early Diagnosis Monitoring, Ambulatory Tachycardia, Ventricular Respiratory Rate Prognosis Reproducibility of Results Sensitivity and Specificity Heart Rate Humans Neural Networks, Computer
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A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 25, 2016
In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable roboti...
Magnetic Resonance Imaging Hand Brain Mapping Artificial Limbs Humans Exoskeleton Device Robotics Brain-Computer Interfaces Brain Neurological Rehabilitation Equipment Design Equipment Failure Analysis Elastic Modulus Reproducibility of Results Sensitivity and Specificity
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A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.

Computational and mathematical methods in medicine Aug 23, 2016
Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. There...
Early Detection of Cancer Ovarian Neoplasms ROC Curve Humans Principal Component Analysis Female Image Processing, Computer-Assisted Reproducibility of Results Support Vector Machine Sensitivity and Specificity Mass Spectrometry
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Robust Wavelet Stabilized 'Footprints of Uncertainty' for Fuzzy System Classifiers to Automatically Detect Sharp Waves in the EEG after Hypoxia Ischemia.

International journal of neural systems Aug 18, 2016
Currently, there are no developed methods to detect sharp wave transients that exist in the latent phase after hypoxia-ischemia (HI) in the electroencephalogram (EEG) in order to determine if these micro-scale transients are potential biomarkers of H...
Brain Ischemia Wavelet Analysis Sheep, Domestic Prenatal Diagnosis Uncertainty Fetal Hypoxia Cohort Studies Fuzzy Logic Disease Models, Animal Electroencephalography Pregnancy Female Sensitivity and Specificity Animals Machine Learning
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Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Aug 18, 2016
BACKGROUND: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise depend...
Reproducibility of Results Sensitivity and Specificity Male Middle Aged Humans Machine Learning Algorithms Female Echocardiography, Three-Dimensional Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Mitral Valve Prolapse
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Network or regression-based methods for disease discrimination: a comparison study.

BMC medical research methodology Aug 18, 2016
BACKGROUND: In stark contrast to network-centric view for complex disease, regression-based methods are preferred in disease prediction, especially for epidemiologists and clinical professionals. It remains a controversy whether the network-based met...
Humans Neural Networks, Computer Regression Analysis Diagnosis, Differential Bayes Theorem Outcome Assessment, Health Care Computer Simulation Reproducibility of Results Sensitivity and Specificity Logistic Models
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Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.

BioMed research international Aug 18, 2016
Automatic liver segmentation not only plays an important role in the analysis of liver disease, but also reduces the cost and humanity's impact in segmentation. In addition, liver segmentation is a very challenging task due to countless anatomical va...
Radiographic Image Interpretation, Computer-Assisted Linear Models Pattern Recognition, Automated Reproducibility of Results Humans Machine Learning Sensitivity and Specificity Algorithms Liver Neoplasms Computer Simulation Liver Tomography, X-Ray Computed
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Motor Cortex Algorithms Humans Imagination Neural Networks, Computer Reproducibility of Results Electroencephalography Brain-Computer Interfaces Sensitivity and Specificity Machine Learning Brain Mapping Movement Signal Processing, Computer-Assisted Fourier Analysis Intention Evoked Potentials, Motor Pattern Recognition, Automated
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Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network.

BioMed research international Aug 14, 2016
Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI) image which contains the liver tumo...
Pattern Recognition, Automated Humans Image Enhancement Sensitivity and Specificity Neural Networks, Computer Liver Neoplasms Machine Learning Imaging, Three-Dimensional Algorithms Image Interpretation, Computer-Assisted Reproducibility of Results
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