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首页> 外文期刊>Japanese journal of applied physics >Non-Contact Respiratory Monitoring with a Bioelectric Impedance Technique to Detect Abnormal Respiration during Bathing
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Non-Contact Respiratory Monitoring with a Bioelectric Impedance Technique to Detect Abnormal Respiration during Bathing

机译:非接触式呼吸监测,采用生物阻抗技术检测洗澡时的异常呼吸

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摘要

Preliminary theoretical calculations and examinations were carried out to develop a method of non-contact respiratory monitoring during bathing to detect abnormal respiration using the bioelectric impedance (BEI) technique. First, theoretical calculations regarding the frequency-dependence of the impedance amplitude were made using a two-dimensional model consisting of a circular body and bath water surrounding the body. The body consisted of concentric layered circles representing the lung and the body fluid. The calculations showed that increases in chest size due to inspiration cause a decrease in the impedance amplitude in the frequency range from 1 kHz to 100 MHz. Next, BEI measurements were carried out from 4 to 400 kHz with the pair of electrodes placed in the vicinity of the chest at the maximum-end-expiration and maximum-end-inspiration stages. These provided results consistent with those obtained from the theoretical calculations. Third, the time-dependence of the impedance amplitude was measured at 10,100, and 400 kHz, respectively. At all of these frequencies, the impedance amplitude corresponded well with the respiratory waveform obtained from rubber strain gauge plethysmography, which was used as a reference.
机译:进行了初步的理论计算和检查,以开发一种使用生物电阻抗(BEI)技术在沐浴过程中进行非接触式呼吸监测以检测异常呼吸的方法。首先,使用由圆形主体和围绕主体的沐浴水组成的二维模型,进行有关阻抗幅度的频率依赖性的理论计算。身体由代表肺和体液的同心分层圆圈组成。计算结果表明,由于吸气而导致的胸部增大导致频率范围从1 kHz到100 MHz的阻抗幅度减小。接下来,在最大末端呼气和最大末端吸气阶段,将一对电极放置在胸部附近,从4到400 kHz进行BEI测量。这些提供的结果与从理论计算获得的结果一致。第三,分别在10,100和400 kHz下测量阻抗幅度的时间依赖性。在所有这些频率下,阻抗幅值与橡胶应变仪体积描记法获得的呼吸波形非常吻合,并以此作为参考。

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  • 来源
    《Japanese journal of applied physics》 |2009年第10期|107001.1-107001.5|共5页
  • 作者单位

    Division of Bio-Information Engineering, Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan;

    Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 920-0942, Japan;

    Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 920-0942, Japan;

    Division of Bio-Information Engineering, Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan;

    Division of Bio-Information Engineering, Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan;

    Energy Use R&D Center, The Kansai Electric Power Co., Inc., Amagasaki, Hyogo 661-0974, Japan;

    Energy Use R&D Center, The Kansai Electric Power Co., Inc., Amagasaki, Hyogo 661-0974, Japan;

    Energy Use R&D Center, The Kansai Electric Power Co., Inc., Amagasaki, Hyogo 661-0974, Japan;

    Energy Use R&D Center, The Kansai Electric Power Co., Inc., Amagasaki, Hyogo 661-0974, Japan;

    The First Department of Internal Medicine, School of Medicine, University of Toyama, Toyama 930-0194, Japan;

    The First Department of Internal Medicine, School of Medicine, University of Toyama, Toyama 930-0194, Japan;

    Division of Bio-Information Engineering, Faculty of Engineering, University of Toyama, Toyama 930-8555, Japan;

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