Volume 44 Issue 6
Dec.  2015
Article Contents

LI Yong-ming, CHEN Bo-han, WANG Pin. Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(6): 951-955. doi: 10.3969/j.issn.1001-0548.2015.06.027
Citation: LI Yong-ming, CHEN Bo-han, WANG Pin. Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(6): 951-955. doi: 10.3969/j.issn.1001-0548.2015.06.027

Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition

doi: 10.3969/j.issn.1001-0548.2015.06.027
  • Publish Date: 2015-12-15
  • [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.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(5516) PDF downloads(589) Cited by()

Related
Proportional views

Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition

doi: 10.3969/j.issn.1001-0548.2015.06.027
LI Yong-ming, CHEN Bo-han, WANG Pin. Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(6): 951-955. doi: 10.3969/j.issn.1001-0548.2015.06.027
Citation: LI Yong-ming, CHEN Bo-han, WANG Pin. Automatic Detection Algorithm for Transthoracic Impedance Signal Based on Pattern Recognition[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(6): 951-955. doi: 10.3969/j.issn.1001-0548.2015.06.027
Reference (17)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return