EKGAR: Augmented Reality Support for Learning of Electrocardiography (ECG) Analysis
Henrik Hedegaard, Mads Ronald Dahl, Kaj Grønbæk · 2007
Abstract: Electrocardiography analysis is an essential part of the medical education, but also one of the most difficult disciplines to learn and master. We introduce an innovative augmented reality concept that enables medical students to combine medical theory on ECG analysis with interactive 3D representations of the human heart. Based on modern learning theories the EKGAR system aims at creating optimal flow-state scenarios in which medical students are completely immersed in playful learning experiences. Using visual markers and a ceiling mounted camera, we track the user’s interaction with a 3D heart. A real-time visualization of this interaction is either projected on a wall or displayed in a HMD. Utilizing visual markers, the students can make selective slicing in the 3D heart in order to examine its insides and its arteries. Design issues, technical implementation and preliminary user evaluations, as well as the prospects of further development of techniques are discussed.