Study on the Detection of Chest Compressions Based on
Acceleration Waveform Shape Analysis
WU Haojie1,2, WU Shuicai1, LIU Zhongying2
1.College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China;
2.Beijing M&B Electronic Instruments Co., Ltd., Beijing 102629, China
Abstract：Objective In this paper, a new method of depth detection of chest compressions based on acceleration waveform
morphological analysis was presented to simplify the hardware requirements for press depth testing during cardiopulmonary
resuscitation and made it easier to use and popularize in clinic. Methods The miniature accelerometer was used to acquire
acceleration signal during chest compressions. Then the serial peripheral interface interface was used to transfer the data in real time
to the ARM controller. After the data was preprocessed, the starting and ending points of the pressing was found through the analysis
of the shape of the acceleration waveform during the pressing process. Then we calculated the depth of the pressing by the second
integral. Results From the results of three preset depths of compression, we proved that the depth of pressure measurement could be
achieved within ±0.93 mm with 95% confidence. Conclusion The depth of compression can simplify the hardware requirements,
and the accuracy of this method can also meet the clinical needs to detect the depth of compression.
吴豪杰1,2，吴水才1，刘忠英2. 基于加速度波形形态分析的胸外按压深度检测研究[J]. 中国医疗设备, 2018, 33(3): 6-10.
WU Haojie1,2, WU Shuicai1, LIU Zhongying2. Study on the Detection of Chest Compressions Based on
Acceleration Waveform Shape Analysis. China Medical Devices, 2018, 33(3): 6-10.
