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Building an audio/video-feedback system for simulation training in medical education

Mahling M., Münch A., Castan C., Schubert P., Haffner L., Griewatz J., Manger A., Celebi N., Riessen R., Conrad V., Herrmann-Werner A., Reutershan J.

Bio-Algorithms and Med-Systems

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2015

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Vol. 11, no. 2

89--99

EN

Simulation training in medical education is a valuable tool for skill acquisition. Standard audio/ video-feedback systems for training surveillance and subsequent video feedback are expensive and often not available. Methods: We investigated solutions for a low-budget audio/video-feedback system based on consumer hardware and open source software. Results: Our results indicate that inexpensive, movable network cameras are suitable for high-quality video transmission including bidirectional audio transmission and an integrated streaming platform. In combination with a laptop, a WLAN connection, and the open source software iSpyServer, one or more cameras represent the easiest, yet fully functional audio/video-feedback system. For streaming purposes, the open source software VLC media player yields a comprehensive functionality. Using the powerful VideoLAN Media Manager, it is possible to generate a splitscreen video comprising different video and audio streams. Optionally, this system can be augmented by analog audio hardware. In this paper, we present how these different modules can be set up and combined to provide an audio/ video-feedback system for a simulation ambulance. Conclusions: We conclude that open source software and consumer hardware offer the opportunity to build a low-budget, feature-rich and high-quality audio/videofeedback system that can be used in realistic medical simulations.

2

Using computed tomography images for a heart modeling

Szostek K., Piórkowski A., Kempny A., Banyś R., Gackowski A.

Journal of Medical Informatics & Technologies

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2012

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Vol. 19

75--84

EN

In this paper the quality and analysis of the computed tomography scan sets are presented in the context of creating a 3D𔊬D model of a heart for the ultrasonography simulator. Data was collected during regular patients examination, using various equipment and technique, therefore not every set has required quality. CT data can be fast characterized with histogram that can show if the brightness ranges of objects (heart structures) are selective. This makes CT data usable for simulation by applying a transform function on the CT images to produce ultrasonographylike images. The aim is to use a PACS system of Hospital, which is the source of data. Therefore a proper technique and system for analysis is needed.

3

Simulation of a virtual patient with cranial nerve injury augments physician-learner concern for patient safety

Kotranza A, Cendan J. C., Johnsen K, Lok B

Bio-Algorithms and Med-Systems

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2010

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Vol. 6, no. 11

25--34

EN

We have created the Neurological Exam Rehearsal Virtual Environment (NERVE), a virtual patient based simulation targeted to train medical students in the diagnosis of abnormal findings in the neurological examination. In NERVE, a learner communicates with and performs a physical examination of a life-sized virtual character experiencing double vision as a result of a cranial nerve palsy. NERVE affords verbal communication through natural speech and gestures, and affords physical interaction through manipulation of virtual tools such as an ophthalmoscope. Creation of NERVE is motivated by the limited quantity and depth of current medical education and simulation approaches to providing learners with exposure to abnormal physical findings in the context of a doctor-patient interaction. NERVE not only provides an immersive and on-demand learning opportunity, but provides students with the opportunity to experience the patient’s double vision in the first person in a “Patient Vision Feedback” (PVF) session. PVF allows the learner to experience how the world looks to the virtual patient, providing an opportunity for enhanced perspective taking and empathy. Thirty-two medical students have examined a virtual patient in NERVE. Twenty-nine of these students were able to correctly diagnose the virtual patient’s cranial nerve palsy, demonstrating content validity of NERVE. A subset of eight medical students experienced Patient Vision and, as a result, demonstrated improved concern for the patient’s wellbeing. NERVE is able to augment a neurology curriculum by providing increased exposure to abnormal findings and providing students with a unique insight into how the disease affects the patient’s wellbeing.

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Maryland virtual patient: a knowledge-based, language-enabled simulation and training system

McShane M., Nirenburg S., Jarrell B., Beale S., Fantry G.

Bio-Algorithms and Med-Systems

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2009

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Vol. 5, no. 9

57--63

EN

Maryland Virtual Patient (MVP) is system aimed at training medical personnel in certain aspects of clinical medicine. The user plays the role of attending physician and is tasked with diagnosing and treating virtual patients (VPs), with or without the help of a virtual tutor. Each VP is composed of both a realistically functioning physiological side and a reasoning - and language-enabled cognitive side. The former permits the VP to undergo the physiological states and changes associated with diseases, their treatments, and even unexpected external stimuli, such as clinically counterindicated interventions. The latter permits the VP to consciously experience and reason about its disease state, make decisions about its lifestyle and medical care, and discuss all of these with its attending physician (the user). This paper provides a brief overview of core aspects of MVP.