Ferreira J, Seoane F, Lindecrantz K
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:559-62. doi: 10.1109/EMBC.2013.6609561.
Personalised Health Systems (PHS) that could benefit the life quality of the patients as well as decreasing the health care costs for society among other factors are arisen. The purpose of this paper is to study the capabilities of the System-on-Chip Impedance Network Analyser AD5933 performing high speed single frequency continuous bioimpedance measurements. From a theoretical analysis, the minimum continuous impedance estimation time was determined, and the AD5933 with a custom 4-Electrode Analog Front-End (AFE) was used to experimentally determine the maximum continuous impedance estimation frequency as well as the system impedance estimation error when measuring a 2R1C electrical circuit model. Transthoracic Electrical Bioimpedance (TEB) measurements in a healthy subject were obtained using 3M gel electrodes in a tetrapolar lateral spot electrode configuration. The obtained TEB raw signal was filtered in MATLAB to obtain the respiration and cardiogenic signals, and from the cardiogenic signal the impedance derivative signal (dZ/dt) was also calculated. The results have shown that the maximum continuous impedance estimation rate was approximately 550 measurements per second with a magnitude estimation error below 1% on 2R1C-parallel bridge measurements. The displayed respiration and cardiac signals exhibited good performance, and they could be used to obtain valuable information in some plethysmography monitoring applications. The obtained results suggest that the AD5933-based monitor could be used for the implementation of a portable and wearable Bioimpedance plethysmograph that could be used in applications such as Impedance Cardiography. These results combined with the research done in functional garments and textile electrodes might enable the implementation of PHS applications in a relatively short time from now.
出现了个性化健康系统(PHS),它除了其他因素外,还能提高患者的生活质量并降低社会医疗成本。本文的目的是研究片上系统阻抗网络分析仪AD5933进行高速单频连续生物阻抗测量的能力。通过理论分析确定了最小连续阻抗估计时间,并使用具有定制四电极模拟前端(AFE)的AD5933通过实验确定了测量2R1C电路模型时的最大连续阻抗估计频率以及系统阻抗估计误差。在健康受试者中使用3M凝胶电极以四极横向点电极配置进行经胸电阻抗(TEB)测量。在MATLAB中对获得的TEB原始信号进行滤波以获得呼吸和心源性信号,并从心源性信号中计算出阻抗导数信号(dZ/dt)。结果表明,在2R1C并联桥测量中,最大连续阻抗估计速率约为每秒550次测量,幅度估计误差低于1%。显示的呼吸和心脏信号表现出良好的性能,并且它们可用于在一些体积描记监测应用中获取有价值的信息。获得的结果表明,基于AD5933的监测器可用于实现便携式和可穿戴生物阻抗体积描记仪,该仪器可用于诸如阻抗心动图等应用。这些结果与在功能性服装和纺织电极方面所做的研究相结合,可能会在从现在起相对较短的时间内实现PHS应用。