AIMC Topic: Young Adult
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Analysis of risk factor domains in psychosis patient health records.
Journal of biomedical semantics
Oct 31, 2019
BACKGROUND: Readmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting which patients may be readmitted is critically important b...
Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification.
BioMed research international
Oct 31, 2019
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning met...
Qualitative, Exploratory, and Multidimensional Study of Telepresence Robots for Overcoming Social Isolation of Children and Adolescents Hospitalized in Onco-Hematology.
Journal of adolescent and young adult oncology
Oct 30, 2019
Treatment of pediatric cancers and hematological malignancies requires long periods of isolation in a sterile room. To promote family connections, telepresence robots have been made available in the homes of hospitalized patients. Our aim was to eva...
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks.
Nature communications
Oct 30, 2019
The discovery that deep convolutional neural networks (DCNNs) achieve human performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties to such tasks. Here we show that the face-space geometry, revealed through pa...
Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates.
Molecular psychiatry
Oct 29, 2019
In studies of anxiety and other affective disorders, objectively measured physiological responses have commonly been used as a proxy for measuring subjective experiences associated with pathology. However, this commonly adopted "biosignal" approach h...
Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.
NeuroImage
Oct 29, 2019
Determining the level of consciousness in patients with disorders of consciousness (DOC) remains challenging. To address this challenge, resting-state fMRI (rs-fMRI) has been widely used for detecting the local, regional, and network activity differe...
Adult
Male
Middle Aged
Functional Neuroimaging
Adolescent
Child
Support Vector Machine
Magnetic Resonance Imaging
Brain
Female
Aged
Young Adult
Persistent Vegetative State
Anesthesia, General
Humans
Consciousness Disorders
Neural Networks, Computer
Wakefulness
Conscious Sedation
Machine Learning
Rest
Deep Sedation
Unconsciousness
Attribution of intentional agency towards robots reduces one's own sense of agency.
Cognition
Oct 29, 2019
In the presence of others, sense of agency (SoA), i.e. the perceived relationship between our own actions and external events, is reduced. The present study aimed at investigating whether the phenomenon of reduced SoA is observed in human-robot inter...
A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis.
Journal of sports sciences
Oct 28, 2019
The purpose of this study was to develop an automated method for identifying and classifying change of direction (COD) movements in professional tennis using tracking data. Three sport science and strength and conditioning experts coded match-play fo...
Myoelectric Control of a Soft Hand Exoskeleton Using Kinematic Synergies.
IEEE transactions on biomedical circuits and systems
Oct 28, 2019
Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative robotic systems, enabling their use to restore activities of daily living (ADL) in those with hand paresis due to stroke or other conditions. The hand exoskel...
Design and Speed-Adaptive Control of a Powered Geared Five-Bar Prosthetic Knee Using BP Neural Network Gait Recognition.
Sensors (Basel, Switzerland)
Oct 27, 2019
To improve the multi-speed adaptability of the powered prosthetic knee, this paper presented a speed-adaptive neural network control based on a powered geared five-bar (GFB) prosthetic knee. The GFB prosthetic knee is actuated via a cylindrical cam-b...
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