基于IPPG的心电监护仪实时心率测量系统研究
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1.中国医科大学附属盛京医院;2.沈阳工学院S辽宁省信息物理融合与数控机床智能制造重点实验室

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辽宁省科技计划联合计划项目(2023JH2/101700066)


Research on real-time heart rate measurement system of cardiac monitor based on IPPG
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    摘要:

    为更好地应对心电监护仪在实时心率测量中效果不佳和数据提取能力不足的问题,提出一种基于光电容积脉搏图技术的新型心电监护仪系统。该系统利用光电容积脉搏图技术对心电监护仪的数据进行高效处理,并采用改进的小波变换方法对数据进行降噪处理。经试验测试,系统在数据降噪处理后,心电波形的变化幅度显著降低,整体变化范围较降噪前低0.4mV;得到的心率数据更接近原始心率变化图像,最大变化仅为2bpm;研究方法的信噪比达到16.0578,均方根误差仅为0.0195,相比平均滤波器方法降低了0.0229。该系统在人体心率实时测量方面具有更优的数据处理性能,能够有效提高心率测量的准确性和实时性,为心率实时监测技术的发展提供了重要的参考和应用价值。

    Abstract:

    In order to better address the issues of poor performance and insufficient data extraction ability of electrocardiogram monitors in real-time heart rate measurement, a new type of electrocardiogram monitoring system based on photoelectric capacitance pulse plot technology is proposed. The system efficiently processes the data of the electrocardiogram monitor using the photoelectric capacitance pulse plot technology, and uses an improved wavelet transform method to denoise the data. After experimental testing, the system significantly reduced the amplitude of changes in the electrocardiogram waveform after data denoising processing, and the overall range of changes was 0.4mV lower than before denoising; The obtained heart rate data is closer to the original heart rate change image, with a maximum change of only 2 bpm; The signal-to-noise ratio of the research method reached 16.0578, with a root mean square error of only 0.0195, which is 0.0229 lower than the average filter method. This system has better data processing performance in real-time measurement of human heart rate, which can effectively improve the accuracy and real-time performance of heart rate measurement, providing important reference and application value for the development of heart rate real-time monitoring technology.

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佘明,刘业峰.基于IPPG的心电监护仪实时心率测量系统研究计算机测量与控制[J].,2024,32(10):47-52.

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  • 收稿日期:2024-05-24
  • 最后修改日期:2024-06-17
  • 录用日期:2024-06-18
  • 在线发布日期: 2024-10-30
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