Surgical Simulation Training Systems: Box Trainers, Virtual Reality and Augmented Reality Simulators

Lahanas, Vasileios; Georgiou, Evangelos; Loukas, Constantinos

doi:10.15226/2473-3032/1/2/00109

Cited by 20 publications

(18 citation statements)

References 23 publications

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“…This iteration of 2-D motion capture can assess most simple movements that have specific phases of motion occurring in the frontal plane of motion since the camera is always in front of the end-user, and the end-user's torso is always facing the device [17]. Due to Trazer's 2-D marker less evaluation and its similarity to other markerless motion capture systems, if the system's view of the end-user's joints becomes obscured or blocked, Trazer may have some issues identifying joint position and location; thus, hampering assessment of complex movements or any activity that involves movement in planes of motion other than the frontal plane during marker-less assessment [18]. Trazer, and other 2-D motion analysis software like Nintendo's WitFit bear a strategic similarity in that the enduser is provided with a form of visual biofeedback using a virtual on-screen avatar that represents the end-user's movements in realtime [19].…”

Section: Related Work and Technologiesmentioning

confidence: 99%

A Novel Framework for Analysis of Lower Limb Movements: Integration of Augmented Reality and Sensor-based Systems

2022

Sports Injr Med

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In paper, an augmented reality device was coupled with motion sensor units to function as a system of cooperative technologies for usage within exercise science and neurorehabilitation. Specifically, in a subfield of exercise science called biomechanics, the assessment and analysis of movements are critical to the evaluation and prescription of improvements for physical function in both daily and sport-specific activities. Furthermore, the systematic combination of these technologies provided potential end-users with a modality to perform exercise within, and correlated feedback based upon the end-user's exercise performance. Data collection specific to biomechanics can provide both the end-user and their evaluators with critical feedback that can be used to modify movement efficiency, improve exercise capacity, and evaluate exercise performance. By coordinating both technologies and completing movement-based experiments, the systems were successfully integrated.

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Section: Related Work and Technologiesmentioning

confidence: 99%

A Novel Framework for Analysis of Lower Limb Movements: Integration of Augmented Reality and Sensor-based Systems

2022

Sports Injr Med

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“…The latter allows the simulation to be adapted to the trainee's learning needs, enabling the learner to gain new cognitive skills, or develop and refine technical skills (e.g., instrumental navigation, clipping, slicing, etc.). However, two major limitations of VR-based simulation are the moderate sense of haptic feedback during interactions and the high costs making it prohibitively expensive for many institutions [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality, Mixed Reality, and Hybrid Approach in Healthcare Simulation: A Systematic Review

et al. 2021

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Simulation-based medical training is considered an effective tool to acquire/refine technical skills, mitigating the ethical issues of Halsted’s model. This review aims at evaluating the literature on medical simulation techniques based on augmented reality (AR), mixed reality (MR), and hybrid approaches. The research identified 23 articles that meet the inclusion criteria: 43% combine two approaches (MR and hybrid), 22% combine all three, 26% employ only the hybrid approach, and 9% apply only the MR approach. Among the studies reviewed, 22% use commercial simulators, whereas 78% describe custom-made simulators. Each simulator is classified according to its target clinical application: training of surgical tasks (e.g., specific tasks for training in neurosurgery, abdominal surgery, orthopedic surgery, dental surgery, otorhinolaryngological surgery, or also generic tasks such as palpation) and education in medicine (e.g., anatomy learning). Additionally, the review assesses the complexity, reusability, and realism of the physical replicas, as well as the portability of the simulators. Finally, we describe whether and how the simulators have been validated. The review highlights that most of the studies do not have a significant sample size and that they include only a feasibility assessment and preliminary validation; thus, further research is needed to validate existing simulators and to verify whether improvements in performance on a simulated scenario translate into improved performance on real patients.

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“…In recent days, AR is considered one of the prominent advanced technologies for its augmentation prototypes. It enhanced its effectiveness and influenced almost every aspect of life, such as emergency service [2], healthcare management [5] [3], industrial implementation, education and training [25] [33], design and planning [1] [4], and many more.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis of Augmented Reality Technology in Modern Healthcare System

Ara¹,

Karim²,

Alsubaie³

et al. 2021

IJACSA

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The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous intelligent applications in the healthcare domain including, wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc. These developed augmented healthcare applications aim to improve patient care, increase efficiency, and decrease costs. Therefore, to identify the advances of AR-based healthcare applications, this article puts on an effort to perform an analysis of 45 peerreviewed journal and conference articles from scholarly databases between 2011 and 2020. It also addresses concurrent concerns and their relevant future challenges including, user satisfaction, convenient prototypes, service availability, maintenance cost, etc. Despite the development of several AR healthcare applications, there are some untapped potentials regarding secure data transmission, which is an important factor for advancing this cuttingedge technology. Therefore, this paper also analyzes distinct AR security and privacy including, security requirements (i.e., scalability, confidentiality, integrity, resiliency, etc.) and attack terminologies (i.e. sniffing, fabrication, modification, interception, etc.). Based on the security issues, in this paper, we propose an artificial intelligence-based dynamic solution to build an intelligent security model to minimize data security risks. This intelligent model can identify seen and unseen threats in the threat detection layer and thus can protect data during data transmission. In addition, it prevents external attacks in the threat elimination layer using threat reduction mechanisms.

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Surgical Simulation Training Systems: Box Trainers, Virtual Reality and Augmented Reality Simulators

Cited by 20 publications

References 23 publications

A Novel Framework for Analysis of Lower Limb Movements: Integration of Augmented Reality and Sensor-based Systems

A Novel Framework for Analysis of Lower Limb Movements: Integration of Augmented Reality and Sensor-based Systems

Augmented Reality, Mixed Reality, and Hybrid Approach in Healthcare Simulation: A Systematic Review

Comprehensive Analysis of Augmented Reality Technology in Modern Healthcare System

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