A study on thickness estimation of human soft tissue in a sitting position using a pressure mapping system
A study on thickness estimation of human soft tissue in a sitting position using a pressure mapping system
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利用压力测绘系统估计坐姿人体软组织厚度的研究
DOI：
10.1002/tee.23735
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发表时间：
2023
影响因子：
1
通讯作者：
Makoto Takahashi
中科院分区：
文献类型：
--
作者：
Chisato Murakami;Yasuaki Kaneda;Kohki Nagata;Mamoru Ohara;Makoto Takahashi
为了预测家庭护理中的压力损伤风险，量化内部组织的变形非常重要。然而，家庭护理中的用户很难使用常规模式，例如MRI，因为这些模式昂贵且不便于携带。因此，我们开发了一种使用机器学习和低成本便携式压力映射系统的坐姿变形估计方法。我们将变形定义为压力分布的每个单元上的估计软组织厚度值。根据测得的压力分布和空载厚度估计电池上的厚度。在使用模型进行估计之前，准备了空载厚度。在本文中，该估计方法应用于两个单层体模，这些体模由木材（坐骨结节）和两种凝胶（肌肉和脂肪）构成。肌肉和脂肪模型的估计误差分别为1.03%和2.56%。我们确认估计误差是足够小的值。© 2022日本电气工程师学会。出版社：Wiley Periodicals LLC
To predict the risk of pressure injuries in home‐care, it is important to quantify deformation of internal tissue. However, it is difficult for users in home‐care to use conventional modalities such as MRI because the modalities are expensive and not portable for the trunk. Therefore, we have developed a deformation estimation method in a sitting position with the use of machine learning and a low‐cost portable pressure mapping system. We defined the deformation as estimated soft tissue thickness values on each cell of pressure distribution. The thickness on a cell was estimated from measured pressure distribution and no‐load thickness. A no‐load thickness was prepared before estimation using a model. In this article, the estimation method was applied to two single‐layered phantoms which were constructed from wood as an ischial tuberosity and two gels as muscle and fat. The estimation errors were only 1.03% and 2.56% in the muscle and fat phantoms, respectively. We confirmed the estimation errors were adequately small values. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.