高分解能ＥＩＳＴとアルブミン輸送モデルによる早期リンパ浮腫診断法と予測法の確立

C-EIST系统和通过白蛋白转运模型(ATM)提出的淋巴水肿预测模型是非常重要和迫切需要的。然而，由于缺乏来自患者的真实数据，c-EIST发展用于淋巴水肿检测的研究相当困难。因此，需要从临床试验中获得更多的数据。我们团队对该系统的开发和预测模型的了解，显然可以在广泛的研究领域得到应用。在这项研究中，由于还没有建立起模拟SAT的模型，所以在液体血浆和盐琼脂模型上进行了白蛋白浓度的变化。结果表明，在球蛋白被认为是混杂因素的情况下，白蛋白浓度的增加导致抵抗力血浆浓度的降低(Baidillah等人，2018a)。在传感器附着在物体表面的情况下，接触阻抗的产生会影响未知阻抗的测量。这项研究提出了一种利用Cole-Cole阻抗模型消除未知接触阻抗的新方法(Baidillah等人，2019a)。由此可见，由于白蛋白含量的增加而引起的阻抗测量的变化要小于由时变随机噪声引起的阻抗测量的变化。为了提高性能，还提出了消除时变随机噪声的影响(Baidillah等人，2019b)。此外，我们还提出了一种对图像重建算法进行改进的方法，以评估长期监测中SAT的变化(Ryoma等，2020)。

c-EIST system and the prediction model of Lymphedema through the proposal of Albumin Transport Model (ATM) are very important and highly needed. However, the research of c-EIST development for Lymphedema detection was quite tough because of we lack real data from patient. Thus, it is needed more data from the clinical trial. The knowledge on our team about the development this system and prediction model, obviously can be applied on wide research area. On this study, variations of albumin concentration on fluid plasma and saline-agar phantom as a mimic of SAT were conducted because it is not established yet. It shows that the increasing the albumin concentration causes the decreasing of the resistance plasma serum in the case of globulin protein is considered as confounding factor (Baidillah, et a., 2018a). In the case of sensor attached to the object surface, the contact impedance arise and affect to the unknown impedance measurement. This study has proposed a new method to eliminate the unknown contact impedance by employing the cole-cole impedance model (Baidillah, et al., 2019a). It is obvious to conclude that the changing of impedance measurement due to increasing of albumin content level is smaller as compared with one due to the time-varying random noise. Elimination the effect of time-varying random noise is also proposed to improve the performance (Baidillah, et al., 2019b). Moreover, we proposed a method to improve the image reconstruction algorithm method in order to evaluate the changing of SAT on the long-term monitoring (Ryoma, et al., 2020).