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Development of a condition monitoring system using an air-pack type pressure sensor for bedridden patients in a supine position

机译:使用气袋式压力传感器的状态监测系统的开发,适用于卧位卧床的患者

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This paper proposes an online biological signal measurement system with an air-pack-type pressure sensor (APS) to monitor the condition of supine patients from pulse activity. The system enables estimation of three physiological signals corresponding to pulse pressure waves, pulse beats and respiratory waves from measurements taken and filtered using the APS, which has mechanical characteristics similar to the impedance characteristics of human muscle and can also be fitted with a mattress pad to prevent decubitus. In this study, the physiological significance of signals obtained through the APS was determined by comparing them with signals measured using commercial medical devices. The results showed that the correlations of pulse pressure waves, pulse beats and power spectral densities for respiratory waves between signals measured using the APS and those measured using commercial sensors were 0.84, 0.84 and 0.98, respectively. It was therefore concluded that the proposed system is suitable for outputting pulse pressure waves, pulse beats and respiratory waves.
机译:本文提出了一种在线生物信号测量系统,该系统具有气袋式压力传感器(APS),可通过脉冲活动来监测仰卧患者的状况。该系统能够根据使用APS进行的测量和滤波后的测量结果估计与脉搏压力波,脉搏和呼吸波相对应的三个生理信号,其机械特性类似于人的肌肉的阻抗特性,并且还可以配备床垫防止褥疮。在这项研究中,通过将APS获得的信号与使用商用医疗设备测量的信号进行比较来确定其生理意义。结果表明,使用APS测得的信号和使用商用传感器测得的信号之间的脉搏压力波,脉搏和呼吸波功率谱密度的相关性分别为0.84、0.84和0.98。因此可以得出结论,所提出的系统适用于输出脉搏压力波,脉搏和呼吸波。

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