Audiologist Dr. Emel UGUR
Topographic Brain Mapping of Motion Sickness Using EEG and Virtual Reality
Motion sickness (MS), one of the oldest identified diseases in history, is a common and complex syndrome that occurs in response to real or perceived motion and is considered a syndrome of maladaptation to motion environments. Although adaptation usually develops with age and experience, it affects a person's quality of life.
This study took a unique approach by including individuals without motion sickness, those with low susceptibility, and those with high susceptibility to motion. The participants were exposed to 360-degree open-access videos presenting real-life scenes to provoke motion sickness, and the resulting cortical activity patterns were recorded and analyzed using EEG.
EEG analyses showed a statistically significant difference in the Alpha band (p = 0.018). While individuals without motion sickness and those with low susceptibility exhibited similar EEG power distributions, they differed from the high susceptibility group.
The findings of this study suggest that individuals without motion sickness are retentive, those with low susceptibility are adaptive, and those with high motion sensitivity are receptive. This indicates that their motion sensitivity persists due to their inability to develop adaptation.
Advanced life Support Training Simulation in Virtual Reality Environment
The objective of the thesis is to create a serious game to simulate an Advanced Life Support (ALS) training both in a computer and a virtual reality (VR) environment. This simulation is designed to be used by medical students and doctors by themselves whenever they want without the need of a second party present to educate them as an alternative to traditional learning methods.
Ekin OZKAN
Lecturer Zehra BELHAN
Lecturer Zehra BELHAN
Evaluation of the effectiveness of simulation-based crisis resource management training in terms of hypoglycemia for senior nursing students (2021)
In this study, the effect of crisis resource managemnet training ( C.R.M.) given to the nursing students in the approach to the patient who had an attack on hypoglycemia was examined. In hypoglycemia scenario performances, the mean of Crisis Resource Management steps of experimental group was found to be statistically higher than control group (Mann-Whitney U p <0.05). There was a statistically significant positive correlation between satisfaction and self-confidence level in all students after simulation training. As a result, C.R.M. training is developing the ability to intervene before and during the crisis. The integration of C.R.M training to nursing training and repeated on a regular basis annually is recommended.
Evaluation of Learning Levels of Laparoscopic Surgical Simulations by
Electroencephalographic Signal Analysis (2017)
While quantitative determination of the skill level is difficult, the use of electroencephalography (EEG) in the measurement of new competency gaining has potential to create an unbiased criterion for determining the permanent performance of laparoscopic surgical simulation users. For this purpose, spectral and statistical evaluation of EEG data collected during laparoscopic surgical simulation training was performed in this study. Changes in relative temporal power at two time points were found to be significant in the anterior temporal and frontal regions and anomalous changes in the frontal parietal regions. When the changes in the bands were examined, it was found that the differences from the bifurcations were mostly in the alpha and theta bands.
Fuat UCRAK
Burhanettin ATAS
Sustainability of Medical Simulation Centers in Universities: Stakeholder Perspectives
In this study, the process of proliferation of medical simulation systems in universities, the hardware and training methods used, and how the method will evolve in the future were examined. The aim of this research was to identify the advantages and disadvantages of medical simulation systems currently used in universities, which face challenges in terms of sustainability due to high operational costs, and the education provided through these systems. This study was conducted between June 2021-July 2021 aimed to determine the stakeholder views and expectations regarding the applications of medical simulation systems being implemented at a foundation university. A total of 132 voluntary participants were included in the research. After obtaining ethical committee approval and personal consent from the participants, a survey was conducted targeting different participant groups who have received or are receiving training at the Acıbadem University CASE - Clinical Simulation and Advanced Laparoscopic-Robotic Surgery Center. The analysis of the collected data revealed a high level of satisfaction with simulation-based training and a widespread belief that simulation environments providing the opportunity for risk-free practice contribute significantly to learning. Based on these findings, it was concluded that simulation-based healthcare education is an extremely beneficial training model for the learners. Due to the high installation and operational costs of medical simulation systems, conducting accurate needs analysis is crucial for institutions to acquire the most suitable systems for their target audience. In the design phase, it is highly important to seek support from institutions or individuals with experience in this field. Considering the potential technologies that may emerge in the coming years, it is crucial to design the center in a way that it will have both the physical and other necessary infrastructures to meet future requirements effectively.