Motion optimization for first-aid chest compression based on kinematic, dynamic and temporal redundancy

Abstract

The chest compression is one of the most important actions for first-aid cardio-pulmonary resuscitation (CPR). Since it requires large torque/force to be generated, the performers have to take an energy saving position and motion until advanced life support providers take over. In the basic life-saving certification, an expert demonstrates the chest compression and trainees behave like him. However, since the energy saving motion strictly depends on the body weight and height of the performers, an appropriate indication and instruction for the trainees will be necessary. In this paper, we optimize the chest compression from kinematic, dynamic and temporal point of view. By using Pseudo-differential and zero-phase filter, the angular velocity and acceleration are derived from a motion capture data, and generative force is calculated by inverse dynamic computation. Based on an evaluation function and constraints, the chest compression is optimized kinematically, dynamically and temporally. Moreover, for the chest compression of a child with light weight, a motion aid is optimized. The effectiveness of the proposed method is evaluated based on a physical load of the performers by measuring heart rate.

Keywords

• chest compression
• motion optimization
• pseudo-differential and zero-phase filter
• motion aid