AIMC Topic: Male

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Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network.

Journal of integrative neuroscience Jan 1, 2017
Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of f...
Visual Acuity Male Linear Models Multivariate Analysis Support Vector Machine Humans Magnetic Resonance Imaging Neural Networks, Computer Neuropsychological Tests Brain Mapping Brain Female Photic Stimulation
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Shoulder motion assistance using a single-joint Hybrid Assistive Limb robot: Evaluation of its safety and validity in healthy adults.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSES: To evaluate the feasibility of using the single-joint Hybrid Assistive Limb robot (HAL) to assist with shoulder flexion-extension in healthy adults, and to assess the capacity of the HAL to analyze the bioelectrical signals of muscle activi...
Muscle, Skeletal Scapula Robotics Rotation Electromyography Arm Humans Feasibility Studies Range of Motion, Articular Young Adult Shoulder Joint Adult Self-Help Devices Cross-Sectional Studies Male
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Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.

Sao Paulo medical journal = Revista paulista de medicina Jan 1, 2017
CONTEXT AND OBJECTIVE:: Type 2 diabetes is a chronic disease associated with a wide range of serious health complications that have a major impact on overall health. The aims here were to develop and validate predictive models for detecting undiagnos...
Feasibility Studies Supervised Machine Learning Brazil Diabetes Mellitus, Type 2 Logistic Models Bayes Theorem Algorithms Computer Simulation Female Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Male Neural Networks, Computer Middle Aged
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A neural network - based algorithm for predicting stone - free status after ESWL therapy.

International braz j urol : official journal of the Brazilian Society of Urology Jan 1, 2017
OBJECTIVE: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidn...
Female Aged Young Adult Adult Child Humans Male Regression Analysis Neural Networks, Computer Predictive Value of Tests Algorithms Kidney Calculi Lithotripsy Middle Aged Infant Adolescent Child, Preschool
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tDCS does not enhance the effects of robot-assisted gait training in patients with subacute stroke.

Restorative neurology and neuroscience Jan 1, 2017
BACKGROUND: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique, which can modulate cortical excitability and combined with rehabilitation therapies may improve motor recovery after stroke.
Single-Blind Method Middle Aged Humans Treatment Outcome Prospective Studies Hand Leg Recovery of Function Female Stroke Stroke Rehabilitation Robotics Male Transcranial Direct Current Stimulation Gait Motor Cortex Feasibility Studies
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Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSE: The purpose of this article is to compare the predictive power of two models trained with computed tomography (CT)-based radiological features and both CT-based radiological and clinical features for pathologic femoral fractures in patients ...
Humans Machine Learning Algorithms Adult Male Middle Aged ROC Curve Lung Neoplasms Tomography, X-Ray Computed Female Risk Factors Aged Logistic Models Odds Ratio Fractures, Spontaneous Femoral Fractures
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Clinical feasibility of gait training with a robotic exoskeleton (WPAL) in an individual with both incomplete cervical and complete thoracic spinal cord injury: A case study.

NeuroRehabilitation Jan 1, 2017
BACKGROUND: Patients with tetraplegia can achieve independent gait with lateral-type powered exoskeletons; it is unclear whether medial-type powered exoskeletons allow for this.
Exoskeleton Device Gait Neurological Rehabilitation Humans Torso Exercise Therapy Adult Range of Motion, Articular Male Spinal Cord Injuries Muscle, Skeletal Robotics
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Does assist-as-needed upper limb robotic therapy promote participation in repetitive activity-based motor training in sub-acute stroke patients with severe paresis?

NeuroRehabilitation Jan 1, 2017
BACKGROUND: Repetitive, active movement-based training promotes brain plasticity and motor recovery after stroke. Robotic therapy provides highly repetitive therapy that reduces motor impairment. However, the effect of assist-as-needed algorithms on ...
Female Aged Adult Male Middle Aged Robotics Stroke Exercise Therapy Paresis Humans Retrospective Studies Upper Extremity Stroke Rehabilitation
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Muscle co-contraction patterns in robot-mediated force field learning to guide specific muscle group training.

NeuroRehabilitation Jan 1, 2017
BACKGROUND: Muscle co-contraction is a strategy of increasing movement accuracy and stability employed in dealing with force perturbation of movement. It is often seen in neuropathological populations. The direction of movement influences the pattern...
Robotics Electromyography Muscle Contraction Movement Adaptation, Physiological Female Humans Adult Learning Biomechanical Phenomena Male Muscle, Skeletal
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[The mathematical approaches to differential diagnostics of acute pharyngeal diseases].

Vestnik otorinolaringologii Jan 1, 2017
The objective of the present study was to elaborate the program for differential diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial neuronal network. The study group was formed by means of sampling patients with acute pharyn...
Patient Selection Disease Management Pharyngeal Diseases Male Severity of Illness Index Diagnosis, Differential Acute Disease Humans Neural Networks, Computer Female Adult
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