Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition
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摘要: 为了自动识别胸阻抗(TTI)信号中的按压和通气波形,完成相关重要参数的计算,并结合先验知识和机器智能从而完成对心肺复苏质量的监测评估,提出了一种基于模式识别的胸阻抗信号自动检测算法。基于实验采集的猪的电诱导心脏骤停模型TTI信号,设计结合小波和形态学的除噪算法对信号进行预处理,再由多分辨率窗口搜索法完成潜在按压和通气波形的定位,最后采用线性判别分析法对定位的按压和通气波形进行分类识别。实验结果表明,该算法对TTI信号中按压波形和波形分析识别的正确率和敏感度可达到98.237%、94.947%和99.651%、97.282%,稳定性好,且运行时间(0.485±0.07 s)满足实时性要求。
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[1] ABELLA B S, ALVARADO J P, MYKLEBUST H, et al. Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest[J]. Amer Med Assoc, 2005, 293(3): 305-310. [2] AL-ALWAN A, EHLENBACH W J, MENON P R, et al. Cardiopulmonary resuscitation among mechanically ventilated patients[J]. Intensive Care Medicine, 2014, 40(4): 556-563. [3] STIELL I G, BROWN S P, CHRISTENSON J, et al. What is the role of chest compression depth during out-of-hospital cardiac arrest resuscitation?[J]. Critical Care Medicine, 2012, 40(4): 1-7. [4] BOBROW B J, SPAITE D W, BERG R A, et al. Chest compression-only CPR by lay rescuers and survival from out-of-hospital cardiac arrest[J]. JAMA, 2010, 304(13): 1447-1454. [5] DE GAUNA S R, GONZALEZ-OTERO D, RUIZ J M, et al. Is rhythm analysis during chest compression pauses for ventilation feasible?[J]. Resuscitation, 2012, 83(S1): e8. [6] ARAMENDI E, AYALA U, IRUSTA U, et al. Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance[J]. Resuscitation, 2012, 83(6): 692-698. [7] ZHANG He-hua, YANG Zheng-fei, HUANG Zi-tong, et al. Transthoracic impedance for the monitoring of quality of manual chest compression during cardiopulmonary resuscitation[J]. Resuscitation, 2012, 83(10): 1281-1286. [8] RISTAGNO G. Transthoracic impedance waveform during cardiopulmonary resuscitation: One size does not fit all![J]. Resuscitation, 2014, 85(5): 579-580. [9] HEIDRUN L, MARTIN R, FRITZ S, et al. Thoracic impedance changes measured via defibrillator pads can monitor ventilation in critically ill patients and during cardiopulmonary resuscitation[J]. Critical Care Medicine, 2006, 34(9): 2399-2405. [10] GONZÁlez-OTERO D, DE GAUNA S R, RUIZ J, et al. Automatic detection of chest compression pauses using the transthoracic impedance signal[C]//39th Conference on Computing in Cardiology. Krakow, Poland: AGH University Science & Technology, 2012. [11] MARTIN R, SVEN O A, METTE S, et al. Impedance-based ventilation detection during cardiopulmonary resuscitation[J]. IEEE Transactions on Biomedical Engineering, 2007, 54(12): 2237-2245. [12] RUIZ J, UNAI A, DE GAUNA S R, et al. Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation[J]. Resuscitation, 2013, 84(9): 1223-1228. [13] 万相奎, 许杜, 张军. 心电信号小波消噪方法的研究[J]. 中国生物医学工程学报, 2008, 27(4): 630-640. WAN Xiang-kui, XU Du, ZHANG Jun. Research on ECG de-noising method based on wavelet transform[J]. Chinese Journal of Biomedical Engineering, 2008, 27(4): 630-640. [14] DOHOSO D L, JOHNSTONE I M. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994,81(3): 425-455. [15] SUN Y, CHAN K L, KRISHANAN S M. ECG signal conditioning by morphological filtering[J]. Computer in Biology and Medicine, 2002, 32(6): 465-479. [16] 毛玲, 孙即祥, 张国敏. 基于形态学运算和自适应阈值的心电信号消噪[J]. 信号处理, 2009, 25(1): 6-10. MAO Lin, SUN Ji-xiang, ZHANG Guo-min. ECG signal de-noising based on morphological operations and adaptive threshold[J]. Signal Processing, 2009, 25(1): 6-10. [17] 肖启芝, 徐凯, 关泽群, 等. 一种形态学滤波结构元的选择方法[J]. 计算机工程与应用, 2007, 43(21): 49-51. XIAO Qi-zhi, XU Kai, GUAN Ze-qun, et a1. Structuring elements selection in morphology filter[J]. Computer Engineering and Applications, 2007, 43(21): 49-51.
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