Department of Electronic Science and Technology, Hunan University, Changsha, Hunan, People's Republic of China. Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Physiol Meas. 2019 Sep 30;40(9):09NT01. doi: 10.1088/1361-6579/ab3666.
The Fricke-Morse impedance model is widely used in bioelectrical impedance analysis (BIA), which is usually fitted by multi-frequency electrical impedance data. Here, we propose a novel numerical method for estimating the model parameters using single-frequency sinusoidal excitation.
A single-frequency sinusoidal signal is used as the current excitation, from which the initial transient, the steady-state and the ending transient voltage responses along with the current excitation are recorded. The model parameters can be then estimated with numerical calculations from the acquired signals.
Simulation and experimental measurements are verified on a 2R1C circuit by using a 50 kHz sinusoidal current excitation. The results show that the maximum relative errors of the estimated model parameters are <1% in simulation with 2% noise and <2% in experimental measurement.
The proposed method could extend the applications of wideband BIA by using single-frequency excitation, rather than multi-frequency excitation as is done today.
Fricke-Morse 阻抗模型广泛应用于生物电阻抗分析(BIA),通常通过多频电阻抗数据进行拟合。在这里,我们提出了一种使用单频正弦激励估计模型参数的新数值方法。
使用单频正弦信号作为电流激励,记录初始瞬态、稳态和结束瞬态电压响应以及电流激励。然后可以通过从获取的信号进行数值计算来估计模型参数。
通过使用 50 kHz 正弦电流激励在 2R1C 电路上进行仿真和实验测量进行验证。结果表明,在模拟中,估计模型参数的最大相对误差在 2%噪声下<1%,在实验测量中<2%。
该方法可以通过使用单频激励而不是像现在这样使用多频激励来扩展宽带 BIA 的应用。