Analysis of LUCASTM 2 and Standard Cardiopulmonary resuscitation results in VR-based Simulation Ambulance

Abstract

Background/Objectives: When chest compression is performed with two hands in a situation where the movement of the vehicle cannot be predicted, the hands-off time increased resulting in inadequate chest recoil.
Method/Statistical Method: VR-based ambulance simulation experiments were conducted from February 19 to 28, 2018 in the National Fire Service Academy. The mean and standard deviation of chest compression and artificial respiration were analyzed by descriptive statistics and t-test. The results were analyzed using SPSS software 12.0 (SPSS Ins., Chicago, IL, USA).
Findings: The results of Lucas (LUCASTM) and manual cardiopulmonary resuscitation of VR-based state showed better chest compression and less incomplete chest relaxation rate than the standard CPR of LucasTM 2. In the VR-based condition, the respiration rate was better when the bag-valve mask was applied at a ratio of 30: 2 than in the case of continuous chest compression under the condition of special airway intubation. Therefore, chest compression using machine was more effective than cardiopulmonary resuscitation in transferring cardiac arrest patients, and it was more efficient to use bag-valve mask at 30: 2 in volume delivery.
Improvements/Applications: This study suggests to use automatic external defibrillator as an alternative to chest compression in transit ambulances.