Work Force

A fast and stable vascular deformation scheme for interventional surgery training system.

BACKGROUND: The emergence and development of robot assistant interventional vascular surgery technologies have benefited many patients with cardiovascular or cerebrovascular diseases. Due to the absence of effective training measures, these new advanced technologies have not been fully utilized and only few experienced surgeons can perform such complicated surgeries so far. In order to solve such ...

A Heuristic Force Model for Haptic Simulation of Nasogastric Tube Insertion Using Fuzzy Logic.

Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally performed on rubber mannequins albeit practical limitations. Computer simulation with haptic feedback can potentially offer a more realistic and accessible training method. However, the complex interactions between the tube and the nasogastric passage make it difficult to model the haptic feedback durin...

Implementing a robotics curriculum at an academic general surgery training program: our initial experience.

The robotic surgical platform is being utilized by a growing number of hospitals across the country, including academic medical centers. Training prog...

Determination of the mechanical and physical properties of cartilage by coupling poroelastic-based finite element models of indentation with artificial neural networks.

One of the most widely used techniques to determine the mechanical properties of cartilage is based on indentation tests and interpretation of the obt...

Adapting content-based image retrieval techniques for the semantic annotation of medical images.

The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based d...

A Q-backpropagated time delay neural network for diagnosing severity of gait disturbances in Parkinson's disease.

Parkinson's disease (PD) is a movement disorder that affects the patient's nervous system and health-care applications mostly uses wearable sensors to...

Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Rodent models of spinal cord injury are critical for the development of treatments for upper limb motor impairment in humans, but there are few method...

The GAAIN Entity Mapper: An Active-Learning System for Medical Data Mapping.

This work is focused on mapping biomedical datasets to a common representation, as an integral part of data harmonization for integrated biomedical da...

Dynamics of Viral Abundance and Diversity in a Sphagnum-Dominated Peatland: Temporal Fluctuations Prevail Over Habitat.

Viruses impact microbial activity and carbon cycling in various environments, but their diversity and ecological importance in Sphagnum-peatlands are ...

Diversity and Plant Growth Promoting Capacity of Endophytic Fungi Associated with Halophytic Plants from the West Coast of Korea.

Five halophytic plant species, Suaeda maritima, Limonium tetragonum, Suaeda australis, Phragmites australis, and Suaeda glauca Bunge, which are native...

Particle Swarm Optimization with Double Learning Patterns.

Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence d...

A Telehealth Case Study: The Use of Telepresence Robot for Delivering Integrated Clinical Care.

Unsupervised learning assisted robust prediction of bioluminescent proteins.

Bioluminescence plays an important role in nature, for example, it is used for intracellular chemical signalling in bacteria. It is also used as a use...

Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essential to understand how a robotic device interacts w...

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapi...

Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses.

UNLABELLED: Artificial neural networks are sophisticated modelling and prediction tools capable of extracting complex, non-linear relationships betwee...

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxo...

Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent st...

Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.

Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in conservation planning. In this study, we used a ge...

Comparing the Influence of Simulated Experimental Errors on 12 Machine Learning Algorithms in Bioactivity Modeling Using 12 Diverse Data Sets.

To date, no systematic study has assessed the effect of random experimental errors on the predictive power of QSAR models. To address this shortage, w...