Potyagaylo Danila, van Dam Peter M, Kuniewicz Marcin, Dolega-Dolegowski Damian, Pregowska Agnieszka, Atkinson Andrew, Dobrzynski Halina, Proniewska Klaudia
Center for Digital Medicine and Robotics, Jagiellonian University Medical College, Krakow, Poland.
Department of Anatomy, Jagiellonian University Medical College, Krakow, Poland.
Front Med (Lausanne). 2024 Jul 4;11:1422017. doi: 10.3389/fmed.2024.1422017. eCollection 2024.
The most commonly applied way of teaching students to convey the foundations of human anatomy and physiology involves textbooks and lectures. This way of transmitting knowledge causes difficulties for students, especially in the context of three-dimensional imaging of organ structures, and as a consequence translates into difficulties with imagining them. Even despite the rapid uptake of knowledge dissemination provided by online materials, including courses and webinars, there is a clear need for learning programs featuring first-hand immersive experiences tailored to suit individual study paces. In this paper, we present an approach to enhance a classical study program by combining multi-modality data and representing them in a Mixed Reality (MR)-based environment. The advantages of the proposed approach have been proven by the conducted investigation of the relationship between atrial anatomy, its electrophysiological characteristics, and resulting P wave morphology on the electrocardiogram (ECG). Another part of the paper focuses on the role of the sinoatrial node in ECG formation, while the MR-based visualization of combined micro-computed tomography (micro-CT) data with non-invasive CineECG imaging demonstrates the educational application of these advanced technologies for teaching cardiac anatomy and ECG correlations.
向学生传授人体解剖学和生理学基础知识最常用的方法包括教科书和讲座。这种知识传授方式给学生带来了困难,尤其是在器官结构的三维成像方面,结果导致学生难以想象这些结构。尽管在线材料(包括课程和网络研讨会)提供的知识传播迅速普及,但显然需要有适合个人学习进度的亲身沉浸式体验的学习项目。在本文中,我们提出了一种方法,通过结合多模态数据并在基于混合现实(MR)的环境中呈现这些数据,来增强经典学习项目。通过对心房解剖结构、其电生理特征以及心电图(ECG)上由此产生的P波形态之间关系的研究,证明了所提出方法的优势。本文的另一部分重点关注窦房结在心电图形成中的作用,而基于MR的微计算机断层扫描(micro-CT)数据与非侵入性电影心电图成像相结合的可视化展示了这些先进技术在心脏解剖学和心电图相关性教学中的教育应用。