scholarly journals Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training

2017 ◽  
Author(s):  
Xingjun Ma ◽  
Sudanthi Wijewickrema ◽  
Shuo Zhou ◽  
Yun Zhou ◽  
Zakaria Mhammedi ◽  
...  
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Back Propagation ◽  
Training Tool ◽  
Effective Feedback ◽  
Training Technique ◽  
Simulation Based ◽  
Effective Training ◽  
Low Efficiency ◽  
Vast Range

Simulation-based training (SBT) is gaining popularity as a low-cost and convenient training technique in a vast range of applications. However, for a SBT platform to be fully utilized as an effective training tool, it is essential that feedback on performance is provided automatically in real-time during training. It is the aim of this paper to develop an efficient and effective feedback generation method for the provision of real-time feedback in SBT. Existing methods either have low effectiveness in improving novice skills or suffer from low efficiency, resulting in their inability to be used in real-time. In this paper, we propose a neural network based method to generate feedback using the adversarial technique. The proposed method utilizes a bounded adversarial update to minimize a L1 regularized loss via back-propagation. We empirically show that the proposed method can be used to generate simple, yet effective feedback. Also, it was observed to have high effectiveness and efficiency when compared to existing methods, thus making it a promising option for real-time feedback generation in SBT.

scholarly journals Can simulators be applied to improve cataract surgery training: a systematic review

2020 ◽  
Vol 5 (1) ◽  
pp. e000488
Author(s):  
Taha Muneer Ahmed ◽  
Badrul Hussain ◽  
M A Rehman Siddiqui
Keyword(s):  
Systematic Review ◽  
Cataract Surgery ◽  
Simulation Training ◽  
Cochrane Library ◽  
Inclusion Criteria ◽  
Training Tool ◽  
Surgery Training ◽  
Simulation Based ◽  
Effective Training

ObjectiveThe purpose of this paper was to conduct a systematic review of existing literature on simulation-based training of cataract surgery. Available literature was evaluated and projections on how current findings could be applied to cataract surgery training were summarised. The quality of included literature was also assessed.Methods and analysisThe PubMed, Embase and Cochrane Library databases were searched for articles pertaining to simulation training in cataract surgery on 18 November 2019. Selected articles were qualitatively analysed.ResultsA total of 165 articles were identified out of which 10 met inclusion criteria. Four studies reported construct validity of the EyeSi simulator. Six studies demonstrated improved surgical outcomes corresponding to training on the simulator. Quality assessment of included studies was satisfactory.ConclusionCurrent studies on simulation training in cataract surgery all point towards it being an effective training tool with low risk of study biases confounding this conclusion. As technology improves, surgical training must embrace and incorporate simulation technology in training.

scholarly journals Assessment of a Low-Cost Ultrasound Pericardiocentesis Model

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Marco Campo dell'Orto ◽  
Dorothea Hempel ◽  
Agnieszka Starzetz ◽  
Armin Seibel ◽  
Ulf Hannemann ◽  
...  
Keyword(s):  
Ultrasound Guidance ◽  
Low Cost ◽  
Pericardial Tamponade ◽  
Complication Rates ◽  
Training Tool ◽  
Vas Score ◽  
Effective Training ◽  
Training Courses ◽  
Outer Appearance ◽  
Focused Echocardiography

Introduction. The use of ultrasound during resuscitation is emphasized in the latest European resuscitation council guidelines of 2013 to identify treatable conditions such as pericardial tamponade. The recommended standard treatment of tamponade in various guidelines is pericardiocentesis. As ultrasound guidance lowers the complication rates and increases the patient’s safety, pericardiocentesis should be performed under ultrasound guidance. Acute care physicians actually need to train emergency pericardiocentesis.Methods. We describe in detail a pericardiocentesis ultrasound model, using materials at a cost of about 60 euros. During training courses of focused echocardiographyn=67,participants tested the phantom and completed a 16-item questionnaire, assessing the model using a visual analogue scale (VAS).Results. Eleven of fourteen questions were answered with a mean VAS score higher than 60% and thus regarded as showing the strengths of the model. Unrealistically outer appearance and heart shape were rated as weakness of the model. A total mean VAS score of all questions of 63% showed that participants gained confidence for further interventions.Conclusions. Our low-cost pericardiocentesis model, which can be easily constructed, may serve as an effective training tool of ultrasound-guided pericardiocentesis for acute and critical care physicians.

scholarly journals A lab in the field: applications of real-time, in situ metagenomic sequencing

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Adriel Latorre-Pérez ◽  
Javier Pascual ◽  
Manuel Porcar ◽  
Cristina Vilanova
Keyword(s):  
Microbial Communities ◽  
Real Time ◽  
Low Cost ◽  
Real Life ◽  
Rapid Analysis ◽  
Microbial Consortia ◽  
Metagenomic Sequencing ◽  
Library Preparation ◽  
Vast Range

Abstract High-throughput metagenomic sequencing is considered one of the main technologies fostering the development of microbial ecology. Widely used second-generation sequencers have enabled the analysis of extremely diverse microbial communities, the discovery of novel gene functions, and the comprehension of the metabolic interconnections established among microbial consortia. However, the high cost of the sequencers and the complexity of library preparation and sequencing protocols still hamper the application of metagenomic sequencing in a vast range of real-life applications. In this context, the emergence of portable, third-generation sequencers is becoming a popular alternative for the rapid analysis of microbial communities in particular scenarios, due to their low cost, simplicity of operation, and rapid yield of results. This review discusses the main applications of real-time, in situ metagenomic sequencing developed to date, highlighting the relevance of this technology in current challenges (such as the management of global pathogen outbreaks) and in the next future of industry and clinical diagnosis.

Low Cost, Real Time Simulation Based on Microcomputers

1990 ◽  
Vol 34 (9) ◽  
pp. 640-644 ◽  
Author(s):  
R. Wade Allen ◽  
Jeffrey R. Hogue ◽  
Anthony C. Stein ◽  
Bimal L. Aponso ◽  
Theodore J. Rosentha
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based

scholarly journals Real-time light-guided vocal fold injection as a simulation-based training tool

2020 ◽  
Author(s):  
Jia Kim ◽  
Hyo-Seok Seo ◽  
Han-seul Na ◽  
Hee Young Son ◽  
Dong Kun Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Vocal Fold ◽  
Training Tool ◽  
Simulation Based ◽  
Vocal Fold Injection

LOW COST REAL TIME ROCKET TELEMETRY SYSTEM DESIGN

2019 ◽  
Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato
Keyword(s):  
System Design ◽  
Real Time ◽  
Low Cost ◽  
Telemetry System

Real-time cloth simulation based on particle constraints

2011 ◽  
Vol 31 (1) ◽  
pp. 289-292
Author(s):  
Zhong-hua LU ◽  
Ding-fang CHEN
Keyword(s):  
Real Time ◽  
Cloth Simulation ◽  
Simulation Based

Low-Cost High-Speed Techniques for Real-Time Simulation of Power Electronic Systems

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani
Keyword(s):  
Real Time ◽  
High Speed ◽  
Low Cost ◽  
Electronic Systems ◽  
Power Electronic ◽  
Real Time Simulation ◽  
Time Simulation

scholarly journals Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu
Keyword(s):  
Deep Learning ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Real Time ◽  
Oilseed Rape ◽  
Data Augmentation ◽  
Low Cost ◽  
Response Speed ◽  
Original Model ◽  
Real Time System

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).

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