Qian Shaowen, Zheng Jiewen, Zhang Guang, Wu Taihu
Institute of Medical Equipment, Academy of Military Medical Science, Tianjin 300161, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Oct;30(5):1033-8.
To realize the measurement of the chest compression depth during the administration of manual cardiopulmonary resuscitation, two 3-axis digital accelerometers were applied for chest compression acceleration and environment acceleration acquisition, with one placed in the chest compression sensor pad, and the other placed in the back sensor pad. Then double integration was made for the acceleration-to-depth conversion with both of the accelerations after preprocessing. The method further included integration reset mechanism based on compression force, with the force point of a pre-determined threshold and the maximum force point as the starting point and the ending point of the integration, respectively. Moreover, a software compensation algorithm was implemented to further increase the accuracy of the depth estimation and reliability of the acceleration. The final performance of the compression depth estimation is within +/- 0.6 cm with 95% confidence of a total of 283 compressions. Accurate and real-time estimation of chest compression depth greatly facilitates the control of compression depth for the lifesaver during manual cardiopulmonary resuscitation.
为实现人工心肺复苏过程中胸外按压深度的测量,使用了两个三轴数字加速度计来采集胸外按压加速度和环境加速度,一个放置在胸外按压传感器垫中,另一个放置在背部传感器垫中。然后在对两个加速度进行预处理后,通过二次积分实现加速度到深度的转换。该方法还包括基于压缩力的积分重置机制,将预定阈值的力点和最大力点分别作为积分的起点和终点。此外,实施了软件补偿算法以进一步提高深度估计的准确性和加速度的可靠性。在总共283次按压中,胸外按压深度估计的最终性能在±0.6厘米范围内,置信度为95%。准确实时地估计胸外按压深度极大地方便了人工心肺复苏过程中施救者对按压深度的控制。