AIMC Topic: Attention

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A Robot-Based Play-Drama Intervention May Improve the Joint Attention and Functional Play Behaviors of Chinese-Speaking Preschoolers with Autism Spectrum Disorder: A Pilot Study.

Journal of autism and developmental disorders Feb 1, 2020
Children with autism spectrum disorder (ASD) have deficits in joint attention and play behaviors. We examined whether a robot-based play-drama intervention would promote these skills. Chinese-speaking preschool children were randomly assigned to an i...
Female Male Child, Preschool Humans Autism Spectrum Disorder Robotics Social Behavior Asian People Play Therapy Attention Drama
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[Pay attention to the research of artificial intelligence in central nervous system imaging].

Zhonghua yi xue za zhi Jan 21, 2020
Central Nervous System Artificial Intelligence Attention
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Assessment of mental workload based on multi-physiological signals.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Mental workload is one of the contributing factors to human errors in road accidents or other potentially adverse incidents.
Image Interpretation, Computer-Assisted Task Performance and Analysis Mental Fatigue Workload Attention Male Electrocardiography Humans Support Vector Machine Electroencephalography Young Adult Reaction Time Adult
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Preliminary Test of the Potential of Contact With Dogs to Elicit Spontaneous Imitation in Children and Adults With Severe Autism Spectrum Disorder.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association Jan 1, 2020
IMPORTANCE: Finding strategies to enhance imitation skills in people with autism spectrum disorder (ASD) is of major clinical relevance.
Animals Child Robotics Humans Autism Spectrum Disorder Adult Imitative Behavior Dogs Attention
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Multilevel Self-Attention Model and its Use on Medical Risk Prediction.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2020
Various deep learning models have been developed for different healthcare predictive tasks using Electronic Health Records and have shown promising performance. In these models, medical codes are often aggregated into visit representation without con...
Humans Neural Networks, Computer Electronic Health Records Computational Biology Attention
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ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks.

Bioinformatics (Oxford, England) Dec 1, 2019
MOTIVATION: Prediction of peptide binding to the major histocompatibility complex (MHC) plays a vital role in the development of therapeutic vaccines for the treatment of cancer. Algorithms with improved correlations between predicted and actual bind...
Attention Neural Networks, Computer Binding Sites Algorithms Protein Binding Peptides Computational Biology Histocompatibility Antigens Class I
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Predicting task-general mind-wandering with EEG.

Cognitive, affective & behavioral neuroscience Aug 1, 2019
Mind-wandering refers to the process of thinking task-unrelated thoughts while performing a task. The dynamics of mind-wandering remain elusive because it is difficult to track when someone's mind is wandering based only on behavior. The goal of this...
Young Adult Adult Male Adolescent Support Vector Machine Humans Female Psychomotor Performance Thinking Alpha Rhythm Electroencephalography Attention
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Attention-Guided Convolutional Neural Network for Detecting Pneumonia on Chest X-Rays.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Pneumonia is a common infectious disease in the world. Its main diagnostic method is chest X-ray (CXR) examination. However, the high visual similarity between a large number of pathologies in CXR makes the interpretation and differentiation of pneum...
Radiography, Thoracic Humans Neural Networks, Computer Pneumonia Radiographic Image Interpretation, Computer-Assisted Attention
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Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Any occupation which involves critical decision making in real-time requires attention and concentration. When repetitive and expanded working periods are encountered, it can result in microsleeps. Microsleeps are complete lapses in which a subject i...
Humans Attention Sleep Stages Neural Networks, Computer Deep Learning Electroencephalography
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Machine Learning in Modeling High School Sport Concussion Symptom Resolve.

Medicine and science in sports and exercise Jul 1, 2019
INTRODUCTION: Concussion prevalence in sport is well recognized, so too is the challenge of clinical and return-to-play management for an injury with an inherent indeterminant time course of resolve. A clear, valid insight into the anticipated resolu...
Return to Sport Humans Dizziness Machine Learning Athletic Injuries Clinical Decision-Making Attention Adolescent Football Time Factors Brain Concussion Headache
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