Objective To develop a real-time and accurate chest compression depth measurement for manual and auto chest compression training or treatment, improving the current ineffective or over-deep chest compressions. Methods This paper presents the depth measurement of chest compression based on double integration of acceleration. The system integrates the acceleration measurement module, the pressure peak detection module and the algorithm of acceleration signals processing. The double integration of acceleration is based on pressure peak detection, and the chest compression depth is obtained through the double integration of acceleration signals between minimum point and maximum point of compression pressure. Results After the chest compression experiments on the Laerdal Resusci? Anne Basic and SkillGuide and comparative analysis with the data acquired by the N1 DAQ device, the proposed measurement error is less than 5mm. Conclusions Double integration of acceleration can effectively solve the challenging problem of chest compression depth measurement and have a good application value in chest compression training and treatment.%目的 探索一种能够应用于人工和自动胸外按压训练以及急救中实时精确测量按压深度的技术,以改善当前胸外按压无效或者过深的普遍现象.方法 本文提出了一种基于加速度二次积分的胸外按压深度测量技术,集成加速度测量模块、压力最值检测模块以及加速度数值积分处理算法,采用基于压力最值检测的加速度二次积分算法,通过对压力最小值与最大值之间采样的加速度数值进行二次积分获取位移.结果 通过模拟实施胸外按压实验测试,并与NI公司DAQ采集数据对比分析,上述方法测量误差在5 mm内.结论 加速度二次积分算法能够有效解决胸外按压深度测量难题,在心肺复苏训练和急救中具有较好的应用价值.
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