Development of an Extended Reality Simulator for Basic Life Support Training

Dong Keon Lee; Haneul Choi; Sanghoon Jheon; You Hwan Jo; Chang Woo Im; Song Young Il

doi:10.1109/JTEHM.2022.3152365

Development of an Extended Reality Simulator for Basic Life Support Training

IEEE J Transl Eng Health Med. 2022 Feb 16:10:4900507. doi: 10.1109/JTEHM.2022.3152365. eCollection 2022.

Authors

Dong Keon Lee^{1

2}, Haneul Choi³, Sanghoon Jheon⁴, You Hwan Jo^{1

2}, Chang Woo Im¹, Song Young Il⁵

Affiliations

¹ Department of Emergency MedicineSeoul National University Bundang Hospital Seongnam 13620 Republic of Korea.
² Department of Emergency MedicineSeoul National University College of Medicine Seoul 03080 Republic of Korea.
³ TETRASIGNUM Corporation Seoul 05839 Republic of Korea.
⁴ Department of Thoracic and Cardiovascular SurgerySeoul National University Bundang Hospital, Seoul National University College of Medicine Seoul 03080 Republic of Korea.
⁵ THIRTEENTH FLOOR Corporation Seoul 06798 Republic of Korea.

Abstract

Objective: Extended Reality (XR) is a simultaneous combination of the virtual and real world. This paper presents the details of the framework and development methods for an XR basic life support (XR-BLS) simulator, as well as the results of an expert usability survey.

Methods: The XR-BLS simulator was created by employing a half-torso manikin in a virtual reality environment and using BLS education data that is in line with the 2020 American Heart Association guidelines. A head-mounted display (HMD) and hand-tracking device were used to perform chest compressions and ventilation and to enable the use of an automated external defibrillator in a virtual environment. A usability study of the XR-BLS simulator through an expert survey was also conducted. The survey consisted of a total of 8 items: 3, 2, and 2 questions about the ease of use of XR-BLS, delivery of training, and artificial intelligence (AI) instructor in the simulator, respectively.

Results: The XR simulator was developed, and the expert survey showed that it was easy to use, the BLS training was well delivered, and the interaction with the AI instructor was clear and understandable.

Discussion/conclusion: The XR-BLS simulator is useful as it can conduct BLS education without requiring instructors and trainees to gather.

Keywords: BLS training; Basic life support; cardiopulmonary resuscitation; extended reality; virtual reality.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Cardiopulmonary Resuscitation* / education
Defibrillators
Educational Measurement
Manikins
United States

Grants and funding

This work was supported in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government, Ministry of Science and ICT (MSIT), under Grant NRF-2019R1F1A1059719; and in part by the Seoul National University Bundang Hospital Research Fund under Grant 14-2019-0021.