AIMC Topic: Young Adult

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Gait can reveal sleep quality with machine learning models.

PloS one Sep 25, 2019
Sleep quality is an important health indicator, and the current measurements of sleep rely on questionnaires, polysomnography, etc., which are intrusive, expensive or time consuming. Therefore, a more nonintrusive, inexpensive and convenient method n...
Humans Machine Learning Sleep Female Young Adult Polysomnography Health Status Indicators Adult Male Gait Self Report Healthy Volunteers
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Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization.

Journal of medical economics Sep 24, 2019
To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisiana (BCBSLA) and compare this approach to the DxCG risk-score algorithms utilized by many health plans. Time zero for this study was December 31, 2016....
Female Infant, Newborn Hospitalization Aged Aged, 80 and over Humans Machine Learning Algorithms Infant Adolescent Child, Preschool Child Logistic Models Young Adult Adult Male Middle Aged Risk Assessment Insurance Claim Review Residence Characteristics Models, Statistical Insurance Carriers Insurance, Health
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Automated Assessment of Oral Diadochokinesis in Multiple Sclerosis Using a Neural Network Approach: Effect of Different Syllable Repetition Paradigms.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2019
Slow and irregular oral diadochokinesis represents an important manifestation of spastic and ataxic dysarthria in multiple sclerosis (MS). We aimed to develop a robust algorithm based on convolutional neural networks for the accurate detection of syl...
Humans Deep Learning Neural Networks, Computer Dysarthria Adolescent Algorithms Young Adult Speech Articulation Tests Multiple Sclerosis Adult Female Articulation Disorders Psychomotor Performance Reproducibility of Results Acoustic Stimulation Aged Male Middle Aged
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Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2019
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner for stroke survivors. To facilitate rehabilitation of the wrist and fingers joint, an electromechanical exoskeleton was developed that simultaneously m...
Aged Young Adult Exoskeleton Device Adult Finite Element Analysis Male Stroke Rehabilitation Middle Aged Finger Joint Humans Recovery of Function Feedback, Sensory Pilot Projects Female Robotics Adolescent Wrist Treatment Outcome Developing Countries Muscle, Skeletal Range of Motion, Articular
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Distinct Mechanisms of Imagery Differentially Influence Speech Perception.

eNeuro Sep 19, 2019
Neural representation can be induced without external stimulation, such as in mental imagery. Our previous study found that imagined speaking and imagined hearing modulated perceptual neural responses in opposite directions, suggesting motor-to-senso...
Male Humans Acoustic Stimulation Neural Networks, Computer Photic Stimulation Female Speech Perception Young Adult Imagination
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Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Journal of neurotrauma Sep 18, 2019
Recently, successful predictions using machine learning (ML) algorithms have been reported in various fields. However, in traumatic brain injury (TBI) cohorts, few studies have examined modern ML algorithms. To develop a simple ML model for TBI outco...
Middle Aged Adolescent Child Humans Hospital Mortality Machine Learning Aged, 80 and over Brain Injuries, Traumatic Prognosis Young Adult Female Adult Aged Male
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EMG-based lumbosacral joint compression force prediction using a support vector machine.

Medical engineering & physics Sep 17, 2019
Electromyography-assisted optimization (EMGAO) approach is widely used to predict lumbar joint loads under various dynamic and static conditions. However, such approach uses numerous anthropometric, kinematic, kinetic, and electromyographic data in t...
Humans Young Adult Biomechanical Phenomena Male Kinetics Support Vector Machine Walking Signal Processing, Computer-Assisted Healthy Volunteers Lumbar Vertebrae Weight-Bearing Electromyography Compressive Strength
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Accuracy of robotic coil positioning during transcranial magnetic stimulation.

Journal of neural engineering Sep 17, 2019
OBJECTIVE: Robotic positioning systems for transcranial magnetic stimulation (TMS) promise improved accuracy and stability of coil placement, but there is limited data on their performance. Investigate the usability, accuracy, and limitations of robo...
Middle Aged Adolescent Robotics Transcranial Magnetic Stimulation Neuronavigation Humans Female Young Adult Adult Male
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Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net.

IEEE journal of biomedical and health informatics Sep 16, 2019
In this paper, deep belief net (DBN) was applied into the field of wearable-sensor based Chinese sign language (CSL) recognition. Eight subjects were involved in the study, and all of the subjects finished a five-day experiment performing CSL on a ta...
Sign Language Asian People Pattern Recognition, Automated Accelerometry Humans Forearm Young Adult Adult China Male Wearable Electronic Devices Deep Learning Gestures Signal Processing, Computer-Assisted Electromyography
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Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

La Radiologia medica Sep 14, 2019
PURPOSE: Development of a fully automatic algorithm for the automatic localization and identification of vertebral bodies in computed tomography (CT).
Multidetector Computed Tomography Aged Aged, 80 and over Young Adult Adult Middle Aged Decision Trees Anatomic Landmarks Spine Datasets as Topic Humans Machine Learning Algorithms Retrospective Studies
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