Abstract
Chest compression is one of the most important actions for Cardio Pulmonary Resuscitation (CPR). Because many people will be survived by CPR in the early-stage of cardiopulmonary arrest, it is expected chest compression becomes widely known through trainings and workshops.So far, we have proposed a motion optimization method for chest compression based on kinematics and dynamics of a human model.Because body weight is an important parameter to achieve chest compression, it is difficult for person with light weight to perform appropriate chest compression. In this paper, we use a mass as an assistant tool , and optimize the weight of the mass. By measuring heart rate of the trainees performing the optimized chest compression with the optimized mass, we evaluate biological costs of trainees.
