PO@HEALTH - A Medical Training Telemedicine Case Study based on Ultrasound Images over an Hybrid Power Line Network

2008 ◽  
Keyword(s):  
Medical Training ◽  
Power Line ◽  
Ultrasound Images ◽  
Hybrid Power ◽  
Line Network

scholarly journals An Adaptive Decision Feedback Equalisation For Broadband Powerline Communication System

2021 ◽  
Author(s):  
Werneld Egno Ngongi ◽  
Fortunata Kakwaya ◽  
Justinian Anatory
Keyword(s):  
Channel Model ◽  
Power Line ◽  
Decision Feedback ◽  
Power Line Communication ◽  
Impulse Responses ◽  
Communication Services ◽  
Powerline Communication ◽  
Performance Simulation ◽  
Channel Changes ◽  
Line Network

Abstract Power line networks can be used to increase accessibility of broadband communication services in developing countries. Nevertheless, power line networks are affected by stochastic channel alterations triggered by load connection and disconnection, branched line lengths, branches, etc. This impairment affects the implementation of Broadband Power Line Communication (BPLC) system. This paper therefore proposes an Adaptive Decision Feedback Equalisation (ADFE) technique to overcome the stochastic channel changes in powerline communication channels. An appropriate power-line channel model is selected and channel impulse responses are obtained from the selected channel model. The impulse responses are obtained and used for simulation to analysing the the performance of ADFE technique. The ADFE is simulated and then results are analyzed through comparisons with other equalizers in order to examine its performance. Simulation results prove that the adaptive decision feedback equalizer performs better to overcome the effects of stochastic changes in power-line network compared to other techniques.

scholarly journals Can Eye Tracking be Used to Predict Performance Improvements in Simulated Medical Training? A Case Study in Central Venous Catheterization

2019 ◽  
Vol 8 (1) ◽  
pp. 110-114
Author(s):  
Hong-En Chen ◽  
Rucha R. Bhide ◽  
David F. Pepley ◽  
Cheyenne C. Sonntag ◽  
Jason Z. Moore ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Medical Training ◽  
Central Venous Catheterization ◽  
Personalized Learning ◽  
Central Venous ◽  
Performance Improvements ◽  
Surgical Residents ◽  
Venous Catheterization

Manikins have traditionally been used to train ultrasound-guided Central Venous Catheterization (CVC), but are static in nature and require an expert observer to provide feedback. As a result, virtual simulation and personalized learning has been increasingly adopted in medical education to efficiently provide quantitative feedback. The Dynamic Haptic Robotic Trainer (DHRT) trains surgical residents in CVC needle insertions by simulating various patient profiles and presenting personalized feedback on objective performance. However, no studies have examined the learning gains of the personalized learning feedback or the relation of feedback to what the user is focusing on during the training. Thus, this study was developed to determine the effectiveness of the current personalized learning interface through a long-term investigation with 7 surgical residents. The eye tracking analysis showed that residents spent significantly more time fixated on percent aspiration throughout the study; the more time participants spent looking at the Number of Insertions, Percent Aspiration and the Angle of Insertion on the DHRT GUI, the better they performed on subsequent trials on the DHRT system.

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