AIMC Topic: Task Performance and Analysis

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DGaze: CNN-Based Gaze Prediction in Dynamic Scenes.

IEEE transactions on visualization and computer graphics Feb 13, 2020
We conduct novel analyses of users' gaze behaviors in dynamic virtual scenes and, based on our analyses, we present a novel CNN-based model called DGaze for gaze prediction in HMD-based applications. We first collect 43 users' eye tracking data in 5 ...
Humans Neural Networks, Computer Software Female Adolescent Task Performance and Analysis Computer Graphics Fixation, Ocular Young Adult Adult Male Eye-Tracking Technology
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Interpreting neural decoding models using grouped model reliance.

PLoS computational biology Jan 6, 2020
Machine learning algorithms are becoming increasingly popular for decoding psychological constructs based on neural data. However, as a step towards bridging the gap between theory-driven cognitive neuroscience and data-driven decoding approaches, th...
Memory, Short-Term Task Performance and Analysis Adult Cognitive Neuroscience Male Computational Biology Support Vector Machine Models, Neurological Decision Trees Electroencephalography Machine Learning Humans Brain Female Young Adult
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DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.

Computer methods and programs in biomedicine Dec 20, 2019
BACKGROUND AND OBJECTIVE: Automatic cardiac left ventricle (LV) quantification plays an important role in assessing cardiac function. Although many advanced methods have been put forward to quantify related LV parameters, automatic cardiac LV quantif...
Algorithms Deep Learning Heart Ventricles Signal-To-Noise Ratio Humans Neural Networks, Computer Task Performance and Analysis Uncertainty
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A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory.

Medical image analysis Nov 26, 2019
In this study, a deep neural network (DNN) is proposed to reduce the noise in task-based fMRI data without explicitly modeling noise. The DNN artificial neural network consists of one temporal convolutional layer, one long short-term memory (LSTM) la...
Task Performance and Analysis Image Processing, Computer-Assisted Memory, Episodic Humans Magnetic Resonance Imaging Neural Networks, Computer Brain Mapping Aged Image Enhancement
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Scientific reports Nov 22, 2019
Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to class...
Evoked Potentials Verbal Behavior Epilepsy Electrocorticography Humans Unsupervised Machine Learning Memory, Short-Term Algorithms Brain Mapping Biomedical Engineering Brain Electroencephalography Electrodes, Implanted Retrospective Studies Electrophysiological Phenomena Sensitivity and Specificity Datasets as Topic Cognition Task Performance and Analysis
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Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE.

Australasian physical & engineering sciences in medicine Nov 14, 2019
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection is one of the most challenging tasks, because the variations of ele...
Electrocardiography Arrhythmias, Cardiac Heart Rate Automation Neural Networks, Computer Algorithms Databases, Factual Task Performance and Analysis Humans
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Regression-based machine-learning approaches to predict task activation using resting-state fMRI.

Human brain mapping Oct 22, 2019
Resting-state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) to map resting-state network features to activation z-scores. The question remains whether the relatively simplistic GLM ...
Humans Machine Learning Brain Brain Mapping Adult Task Performance and Analysis Magnetic Resonance Imaging Connectome Regression Analysis Nerve Net
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Determining motions with an IMU during level walking and slope and stair walking.

Journal of sports sciences Oct 17, 2019
This study investigated whether using an inertial measurement unit (IMU) can identify different walking conditions, including level walking (LW), descent (DC) and ascent (AC) slope walking as well as downstairs (DS) and upstairs (US) walking. Thirty ...
Wearable Electronic Devices Walking Acceleration Task Performance and Analysis Accelerometry Movement Stair Climbing Adult Biomechanical Phenomena Male Deep Learning Humans Female Young Adult
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A machine-learning method for classifying and analyzing foot placement: Application to manual material handling.

Journal of biomechanics Oct 11, 2019
Foot placement strategy is an essential aspect in the study of movement involving full body displacement. To get beyond a qualitative analysis, this paper provides a foot placement classification and analysis method that can be used in sports, rehabi...
Movement Humans Male Machine Learning Task Performance and Analysis Research Design Foot Young Adult Adult
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Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation.

IEEE journal of biomedical and health informatics Sep 11, 2019
With the development of deep learning in medical image analysis, decoding brain states from functional magnetic resonance imaging (fMRI) signals has made significant progress. Previous studies often utilized deep neural networks to automatically clas...
Task Performance and Analysis Adult Humans Connectome Magnetic Resonance Imaging Brain Unsupervised Machine Learning Young Adult Signal Processing, Computer-Assisted
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