AIMC Topic: Young Adult

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Neural-network classification of cardiac disease from P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2019
BACKGROUND: The heart's energy demand per gram of tissue is the body's highest and creatine kinase (CK) metabolism, its primary energy reserve, is compromised in common heart diseases. Here, neural-network analysis is used to test whether noninvasive...
Adult Male Middle Aged Female Humans Severity of Illness Index Reproducibility of Results Neural Networks, Computer Aged Phosphorus Isotopes Heart Diseases Machine Learning Energy Metabolism Aged, 80 and over Magnetic Resonance Spectroscopy Young Adult Predictive Value of Tests Biomarkers Phosphocreatine Myocardium Creatine Kinase Kinetics Adenosine Triphosphate
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Early prediction of epileptic seizures using a long-term recurrent convolutional network.

Journal of neuroscience methods Aug 10, 2019
BACKGROUND: A seizure prediction system can detect seizures prior to their occurrence and allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure prediction has progressed from signal processing analyses to machin...
Seizures Signal Processing, Computer-Assisted Deep Learning Humans Female Adolescent Neural Networks, Computer Young Adult Child Adult Electroencephalography Male Middle Aged
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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.

BMJ open Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Emergency Service, Hospital Female Registries Sweden Patient Discharge Aged Humans Mortality Aged, 80 and over Machine Learning Young Adult Adult Retrospective Studies Male Electronic Health Records Middle Aged Time Factors Logistic Models
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Automation of the Timed-Up-and-Go Test Using a Conventional Video Camera.

IEEE journal of biomedical and health informatics Aug 9, 2019
The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more r...
Humans Algorithms Female Image Processing, Computer-Assisted Young Adult Exercise Test Adult Video Recording Male Automation Deep Learning Gait Analysis Adolescent
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Machine-Learning-Based Detection of Craving for Gaming Using Multimodal Physiological Signals: Validation of Test-Retest Reliability for Practical Use.

Sensors (Basel, Switzerland) Aug 9, 2019
Internet gaming disorder in adolescents and young adults has become an increasing public concern because of its high prevalence rate and potential risk of alteration of brain functions and organizations. Cue exposure therapy is designed for reducing ...
Heart Rate Respiratory Rate Electrooculography Video Games Craving Behavior, Addictive Saccades Humans Machine Learning Young Adult Male Self Report
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A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments.

Neural computation Aug 8, 2019
In this letter, we propose two novel methods for four-class motor imagery (MI) classification using electroencephalography (EEG). Also, we developed a real-time health 4.0 (H4.0) architecture for brain-controlled internet of things (IoT) enabled envi...
Electroencephalography Signal Processing, Computer-Assisted Internet of Things Brain-Computer Interfaces Imagination Humans Machine Learning Female Young Adult Male
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Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.

Schizophrenia research Aug 6, 2019
BACKGROUND: The recent deep learning-based studies on the classification of schizophrenia (SCZ) using MRI data rely on manual extraction of feature vector, which destroys the 3D structure of MRI data. In order to both identify SCZ and find relevant b...
Middle Aged Functional Neuroimaging Support Vector Machine Magnetic Resonance Imaging Schizophrenia Female Young Adult Adult Male Humans Neural Networks, Computer
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Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity.

Scientific reports Aug 6, 2019
Human age estimation is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age estimation, each with its advantages and limitations. In this work, we investigate whether physical activi...
Kaplan-Meier Estimate Accelerometry Anthropometry Datasets as Topic Exercise Young Adult Proportional Hazards Models Nutrition Surveys Deep Learning Adult Humans Locomotion Health Status Male Wearable Electronic Devices Female Monitoring, Physiologic Aging Mobile Applications Reproducibility of Results Models, Biological Middle Aged Aged Telemedicine
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Psychological reactions to human versus robotic job replacement.

Nature human behaviour Aug 5, 2019
Advances in robotics and artificial intelligence are increasingly enabling organizations to replace humans with intelligent machines and algorithms. Forecasts predict that, in the coming years, these new technologies will affect millions of workers i...
Humans Artificial Intelligence Female Robotics Employment Attitude Young Adult European Union Adult Occupations Male United States Unemployment
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IMU, sEMG, or their cross-correlation and temporal similarities: Which signal features detect lateral compensatory balance reactions more accurately?

Computer methods and programs in biomedicine Aug 1, 2019
BACKGROUND AND OBJECTIVE: Falls are the leading cause of fatal and non-fatal injuries among seniors worldwide. While laboratory evidence supports the view that impaired ability to execute compensatory balance responses (CBRs) is linked to an increase...
Adult Biomechanical Phenomena Male Humans Adolescent Electromyography Machine Learning Wearable Electronic Devices Female Signal-To-Noise Ratio Young Adult
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