AIMC Topic: Sensitivity and Specificity

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Robust Control of a Cable-Driven Soft Exoskeleton Joint for Intrinsic Human-Robot Interaction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 1, 2017
A novel, cable-driven soft joint is presented for use in robotic rehabilitation exoskeletons to provide intrinsic, comfortable human-robot interaction. The torque-displacement characteristics of the soft elastomeric core contained within the joint ar...
Man-Machine Systems Neurological Rehabilitation Elastic Modulus Joint Prosthesis Reproducibility of Results Sensitivity and Specificity Feedback Robotics Humans Equipment Design Algorithms Artificial Limbs Computer Simulation Models, Biological Equipment Failure Analysis Exoskeleton Device
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Exploiting Knowledge Composition to Improve Real-Life Hand Prosthetic Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 1, 2017
In myoelectric prosthesis control, one of the hottest topics nowadays is enforcing simultaneous and proportional (s/p) control over several degrees of freedom. This problem is particularly hard and the scientific community has so far failed to provid...
Humans Machine Learning Algorithms Computer Simulation Reproducibility of Results Hand Artificial Limbs Models, Biological Young Adult Pattern Recognition, Automated Sensitivity and Specificity Movement Male Robotics Biofeedback, Psychology
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Accuracy of video observation and a three-dimensional head tracking system for detecting and quantifying robot-simulated head movements in cone beam computed tomography.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 28, 2017
OBJECTIVES: To assess the accuracy of detecting robot-simulated head movements using video observation (VO) and 3-dimensional head tracking (HT) in a cone beam computed tomography examination setup.
Head Movements Robotics Rotation Video Recording Humans Observation Manikins Sensitivity and Specificity Cone-Beam Computed Tomography Imaging, Three-Dimensional
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A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

Thyroid : official journal of the American Thyroid Association Feb 28, 2017
BACKGROUND: An initial clinical assessment is described of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and its performance is evaluated in the diagnosis of malignant ...
Humans Artificial Intelligence Female Diagnosis, Computer-Assisted Thyroid Diseases Thyroid Neoplasms Ultrasonography Thyroid Nodule Aged Adult Sensitivity and Specificity Male Middle Aged Biopsy, Large-Core Needle Thyroid Cancer, Papillary ROC Curve Area Under Curve Biopsy, Fine-Needle Carcinoma, Papillary
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Imputation for transcription factor binding predictions based on deep learning.

PLoS computational biology Feb 24, 2017
Understanding the cell-specific binding patterns of transcription factors (TFs) is fundamental to studying gene regulatory networks in biological systems, for which ChIP-seq not only provides valuable data but is also considered as the gold standard....
Transcription Factors Hep G2 Cells High-Throughput Nucleotide Sequencing K562 Cells Binding Sites Protein Interaction Mapping Chromatin Immunoprecipitation Neural Networks, Computer Machine Learning Reproducibility of Results Sensitivity and Specificity Protein Binding Humans
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An extensive analysis of various texture feature extractors to detect Diabetes Mellitus using facial specific regions.

Computers in biology and medicine Feb 22, 2017
INTRODUCTION: Researchers have recently discovered that Diabetes Mellitus can be detected through non-invasive computerized method. However, the focus has been on facial block color features. In this paper, we extensively study the effects of texture...
Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Colorimetry Humans Photography Diabetes Mellitus Algorithms Support Vector Machine Reproducibility of Results Signal Processing, Computer-Assisted
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Subject-based discriminative sparse representation model for detection of concealed information.

Computer methods and programs in biomedicine Feb 20, 2017
BACKGROUND AND OBJECTIVES: The use of machine learning approaches in concealed information test (CIT) plays a key role in the progress of this neurophysiological field. In this paper, we presented a new machine learning method for CIT in which each s...
Humans Artificial Intelligence Machine Learning Algorithms Brain Mapping Learning Guilt Linear Models Electroencephalography Reproducibility of Results Random Allocation Sensitivity and Specificity Electrodes Signal-To-Noise Ratio Support Vector Machine Healthy Volunteers Crime Truth Disclosure
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Diagnostic value of sleep stage dissociation as visualized on a 2-dimensional sleep state space in human narcolepsy.

Journal of neuroscience methods Feb 20, 2017
BACKGROUND: Type 1 narcolepsy (NT1) is characterized by symptoms believed to represent Rapid Eye Movement (REM) sleep stage dissociations, occurrences where features of wake and REM sleep are intermingled, resulting in a mixed state. We hypothesized ...
Electrooculography Sleep Stages Electroencephalography Electromyography Linear Models Narcolepsy Polysomnography Sensitivity and Specificity Middle Aged Cohort Studies Discriminant Analysis Humans Machine Learning Adult
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Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Humans Female Workload Stroke Task Performance and Analysis Man-Machine Systems Sensitivity and Specificity Movement Disorders Physical Examination Reproducibility of Results Male Diagnostic Techniques, Neurological Aged Middle Aged Aged, 80 and over Diagnosis, Computer-Assisted Adult Robotics
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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Pattern Recognition, Automated Signal-To-Noise Ratio Action Potentials Models, Statistical Discriminant Analysis Artifacts Humans Algorithms Machine Learning Computer Simulation Reproducibility of Results Sensitivity and Specificity Models, Neurological
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