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  1. Network Modeling Analysis in Health Informatics and Bioinformatics
  2. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3
  3. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3, Issue 1, December 2014
  4. Towards a haptically enabled optometry training simulator
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Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 7
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 6
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 5
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 4
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3, Issue 1, December 2014
HLAB27Pred: SVM-based precise method for predicting HLA-B*2705 binding peptides in antigenic sequences
In silico studies of deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) of NRL gene
Gene interaction map: a paradigm for identifying significant pathways responsible for rheumatoid arthritis
Bag of words for semantic automatic medical image annotation
Potential of Bioinformatics as functional genomics tool: an overview
Molecular modeling and phylogenetic analysis of Esx homeobox-1 protein of Bubalus bubalis
Computational analysis of amprenavir resistance triple mutant (V32I, I47V and V82I) in HIV-1 protease
Towards a haptically enabled optometry training simulator
A system for grading diabetic maculopathy severity level
An integrated algorithm for local sequence alignment
Mobile self-management guide for young men with mild hemophilia in cases of minor injuries
Using MLP and SVM for predicting survival rate of oral cancer patients
In silico epigenetic profiling of hypermethylated genes in non-small cell lung cancer
Evolutionary pattern of four representative DNA repair proteins across six model organisms: an in silico analysis
Towards evaluating and enhancing the reach of online health forums for smoking cessation
Algorithms for global protein–protein interaction network alignment
Efficient consumption of the electronic health record in mHealth
A statistical feature selection technique
Significant patterns for oral cancer detection: association rule on clinical examination and history data
Binding affinity analysis and ADMET prediction of epigallocatechine gallate (EGCG) derivatives for AP-1 protein: a drug target for liver cancer
Greedy hierarchical binary classifiers for multi-class classification of biological data
An effective measure corresponding to biological significance
Visualization of health indicators: utilizing data mining techniques and statistical analysis for effective comparison of user profiles
Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures
Cluster analysis of cancer data using semantic similarity, sequence similarity and biological measures
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 1

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Towards a haptically enabled optometry training simulator

Content Provider Springer Nature Link
Author Nahavandi, Saeid Wei, Lei Najdovski, Zoran Weisinger, Harrison
Copyright Year 2014
Abstract Optometry is an essential health care profession that has existed for many centuries and is still evolving. However, the training approaches for optometrists are not yet on par with the latest technological evolution. The traditional supervisor–student training mode could not provide good immersion and repeatability, while most existing vision-based computer-assisted simulations provide even worse immersion on screens. In this paper, we propose an effective system for optometry training simulation with two setups: augmented reality based and absolution measurement transducer based. Both setups are seamlessly integrated with haptic devices as well as with the actual slit lamp. They are able to greatly enhance the immersion for typical optometry training tasks such as foreign body removal. Medical doctors and optometry students are also actively involved in suggesting configurations and validating visual and haptic rendering results on these setups. Preliminary user studies show very positive feedbacks from the optometry students.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISSN 21926662
Journal Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number 3
Issue Number 1
e-ISSN 21926670
Language English
Publisher Springer Vienna
Publisher Date 2014-05-01
Publisher Place Vienna
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Optometry simulation Computational Biology/Bioinformatics Foreign body removal Complex Networks Health Informatics Haptics Bioinformatics Augmented reality
Content Type Text
Resource Type Article
Subject Urology
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