AIMC Topic:
Models, Theoretical

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Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach.

Human factors Feb 1, 2017
OBJECTIVE: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.
Humans Memory, Short-Term Psychomotor Performance Ergonomics Machine Learning Models, Theoretical Electroencephalography
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Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

Inhalation toxicology Jan 1, 2017
BACKGROUND: Galaxolide (HHCB) is used for fragrance in many consumer products. The aim of the current study was to use objective assessments of HHCB to build a predictive model in order to estimate indoor-measured HHCB concentrations from questionnai...
Models, Theoretical Benzopyrans Humans Forecasting Air Pollution, Indoor Linear Models Data Analysis Cross-Sectional Studies Perfume France Surveys and Questionnaires
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Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

Studies in health technology and informatics Jan 1, 2017
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state sign...
Magnetic Resonance Spectroscopy Algorithms Brain Models, Theoretical Magnetic Resonance Imaging Signal Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Machine Learning
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Exploring convolutional neural networks for drug-drug interaction extraction.

Database : the journal of biological databases and curation Jan 1, 2017
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...
Drug Interactions Data Mining Electronic Data Processing Models, Theoretical Support Vector Machine Natural Language Processing Neural Networks, Computer
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Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.

Studies in health technology and informatics Jan 1, 2017
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to fully account for interactions between metabolites, rely on a priori selec...
Logistic Models Models, Theoretical Metabolomics Aged Male Middle Aged Coronary Artery Disease Humans Machine Learning Female
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Importance of Matching Physical Friction, Hardness, and Texture in Creating Realistic Haptic Virtual Surfaces.

IEEE transactions on haptics Jan 1, 2017
Interacting with physical objects through a tool elicits tactile and kinesthetic sensations that comprise your haptic impression of the object. These cues, however, are largely missing from interactions with virtual objects, yielding an unrealistic u...
Computer Simulation Female Male Humans Algorithms Vibration Touch Physical Stimulation Friction User-Computer Interface Robotics Models, Theoretical Surface Properties Hardness
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Using a fuzzy comprehensive evaluation method to determine product usability: A proposed theoretical framework.

Work (Reading, Mass.) Jan 1, 2017
BACKGROUND: In order to compare existing usability data to ideal goals or to that for other products, usability practitioners have tried to develop a framework for deriving an integrated metric. However, most current usability methods with this aim r...
Evaluation Studies as Topic Equipment Design Surveys and Questionnaires Models, Theoretical Fuzzy Logic Humans Decision Support Techniques
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Adaptive Neural Network Control for the Trajectory Tracking of the Furuta Pendulum.

IEEE transactions on cybernetics Dec 1, 2016
The purpose of this paper is to introduce a novel adaptive neural network-based control scheme for the Furuta pendulum, which is a two degree-of-freedom underactuated system. Adaptation laws for the input and output weights are also provided. The pro...
Rotation Mechanical Phenomena Computer Simulation Neural Networks, Computer Models, Theoretical Algorithms Robotics
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A fuzzy neural network sliding mode controller for vibration suppression in robotically assisted minimally invasive surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS Dec 1, 2016
BACKGROUND: It is very important for robotically assisted minimally invasive surgery to achieve a high-precision and smooth motion control. However, the surgical instrument tip will exhibit vibration caused by nonlinear friction and unmodeled dynamic...
Computer Simulation Reproducibility of Results Models, Theoretical Fuzzy Logic Minimally Invasive Surgical Procedures Robotic Surgical Procedures Humans Neural Networks, Computer Algorithms Vibration Motion Phantoms, Imaging Tremor
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Modeling and performance evaluation of a robotic treatment couch for tumor tracking.

Biomedizinische Technik. Biomedical engineering Oct 1, 2016
Tumor motion during radiation therapy increases the irradiation of healthy tissue. However, this problem may be mitigated by moving the patient via the treatment couch such that the tumor motion relative to the beam is minimized. The treatment couch ...
Models, Theoretical Robotics Patient Positioning Humans Movement Algorithms Neoplasms
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