AIMC Topic: Sensitivity and Specificity

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Autofocusing and Polar Body Detection in Automated Cell Manipulation.

IEEE transactions on bio-medical engineering Jul 13, 2016
Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-fie...
Mice Robotics Image Interpretation, Computer-Assisted Image Enhancement Cell Separation Cells, Cultured Reproducibility of Results Sensitivity and Specificity Animals Cell Tracking Micromanipulation Polar Bodies
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Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.

Magnetic resonance in medicine Jul 12, 2016
PURPOSE: Classification of pediatric brain tumors from H-magnetic resonance spectroscopy (MRS) can aid diagnosis and management of brain tumors. However, varied incidence of the different tumor types leads to imbalanced class sizes and introduces di...
Machine Learning Algorithms Female Reproducibility of Results Sensitivity and Specificity Humans Diagnosis, Computer-Assisted Biomarkers, Tumor Pattern Recognition, Automated Brain Neoplasms Proton Magnetic Resonance Spectroscopy Male Middle Aged
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Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.

Clinical EEG and neuroscience Jul 10, 2016
The life quality of patients with refractory epilepsy is extremely affected by abrupt and unpredictable seizures. A reliable method for predicting seizures is important in the management of refractory epilepsy. A critical factor in seizure prediction...
Female Infant, Newborn Reproducibility of Results Support Vector Machine Sensitivity and Specificity Disease Progression Diagnosis, Differential Male Diagnosis, Computer-Assisted Electroencephalography Humans Adolescent Epilepsy Algorithms Child Pattern Recognition, Automated
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Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 7, 2016
In motor imagery brain-computer interfaces (BCIs), the symmetric positive-definite (SPD) covariance matrices of electroencephalogram (EEG) signals carry important discriminative information. In this paper, we intend to classify motor imagery EEG sign...
Evoked Potentials, Motor Algorithms Imagination Reproducibility of Results Electroencephalography Sensitivity and Specificity Humans Linear Models Machine Learning Brain Mapping Pattern Recognition, Automated Brain-Computer Interfaces Movement
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Functional Assessment of a Myoelectric Postural Controller and Multi-Functional Prosthetic Hand by Persons With Trans-Radial Limb Loss.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 30, 2016
The functional assessment of myoelectric control algorithms by persons with amputation promotes the overarching goal of the field of prosthetic limb design: to replace what was lost. However, many studies use experimental paradigms with virtual inter...
Neurological Rehabilitation Equipment Design Feedback, Physiological Male Electromyography Amputation Stumps Treatment Outcome Muscle Contraction Amputees Muscle, Skeletal Humans Radius Artificial Limbs Recovery of Function Reproducibility of Results Equipment Failure Analysis Robotics Adult Exoskeleton Device Sensitivity and Specificity Man-Machine Systems
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Machine Learning Techniques in Clinical Vision Sciences.

Current eye research Jun 30, 2016
This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vision science. Many ocular diseases leading to blindness can be halted or delayed when detected and tr...
Diagnostic Techniques, Ophthalmological Monitoring, Physiologic Multimodal Imaging Eye Diseases Vision, Ocular Humans Machine Learning Algorithms Sensitivity and Specificity
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SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal.

IEEE transactions on bio-medical engineering Jun 29, 2016
OBJECTIVE: This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics o...
Algorithms Support Vector Machine Electrocorticography Epilepsy Reproducibility of Results Humans Dogs Sensitivity and Specificity Pattern Recognition, Automated Animals Diagnosis, Computer-Assisted
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Diagnosis of Diabetes Mellitus by Extraction of Morphological Features of Red Blood Cells Using an Artificial Neural Network.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association Jun 29, 2016
Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to insufficient secretion of insulin by the pancreas or improper utilization of glucose. The study was aimed to investigate the association of morphological...
Sensitivity and Specificity Male Middle Aged Image Processing, Computer-Assisted Diabetes Mellitus Erythrocytes Humans Neural Networks, Computer Female Adult
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Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI.

Behavioural brain research Jun 23, 2016
Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much investigation, but the biological mechanisms underlying these alterations remain poorly understood. Here, we aim to identify the changes in brain network...
Humans Machine Learning Brain Rest Multivariate Analysis Psychological Tests Cognitive Dysfunction Mental Status and Dementia Tests Magnetic Resonance Imaging Brain Mapping Female Bayes Theorem Aged Alzheimer Disease Sensitivity and Specificity Male
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Movement Performance of Human-Robot Cooperation Control Based on EMG-Driven Hill-Type and Proportional Models for an Ankle Power-Assist Exoskeleton Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 22, 2016
Although the merits of electromyography (EMG)-based control of powered assistive systems have been certified, the factors that affect the performance of EMG-based human-robot cooperation, which are very important, have received little attention. This...
Psychomotor Performance Ankle Joint Isometric Contraction Equipment Failure Analysis Exoskeleton Device Man-Machine Systems Electric Power Supplies Neurological Rehabilitation Feedback, Physiological Equipment Design Humans Biofeedback, Psychology Computer Simulation Artificial Limbs Female Models, Biological Reproducibility of Results Torque Adult Sensitivity and Specificity Male Muscle, Skeletal Robotics
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