Study on simulation method of knee hydrops based on biologcal impedance_Journal of Biomedical Engineering

Authors：

 KE Li , LI Yuhuan , DU Qiang , LU Haiming , WANG Cen

Institute of Biomedical and Electromagnetic Engineering, Shenyang University of Technology, Shenyang 110870, P.R.China;

Corresponding author：

KE Li, Email: keli@sut.edu.cn

Keywords：

hydrops of the knee joint; bioimpedance; four-electrode measuring

DOI：

10.7507/1001-5515.201811044

Video：

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Abstract Full text Figures/Tables Video References Cited by

The injury of the knee joint is usually accompanied with the generation of hydrops. The volume of hydrops can be used as a reference to evaluate the extent of knee joint injuries. Based on the principle of bioimpedance detection, in this paper, a new method is proposed to detect knee joint hydrops. Firstly, a three-dimensional model of the knee joint was established according to the physiological and anatomical structure of the knee joint. Secondly, a knee impedance detection system was constructed based on the four-electrode theory, and the relationship between the knee impedance change and the volume of hydrops was calculated by linear regression. Finally, the model of rat knee joint hydrops was established, and the knee joint impedance was measured under different hydrops content to deduce the relationship between the fluid content and the knee joint impedance. The fluid volume in the joint was calculated by measuring the knee joint impedance, and the error rate was less than 10%. The experimental results show that the method proposed in this paper can establish the relationship between the impedance of the knee and the volume of fluid and realize the detection of the fluid volume.

Citation： KE Li, LI Yuhuan, DU Qiang, LU Haiming, WANG Cen. Study on simulation method of knee hydrops based on biologcal impedance. Journal of Biomedical Engineering, 2019, 36(6): 1012-1017. doi: 10.7507/1001-5515.201811044 Copy

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1. Buffa R, Saragat B, Cabras S, et al. Accuracy of specific BIVA for the assessment of body composition in the United States population. PLoS One, 2013, 8(3): e58533.
2. Schuettler M, Franke M, Krueger T B, et al. A voltage-controlled current source with regulated electrode bias-voltage for safe neural stimulation. Journal of Neuroscience Methods, 2008, 171(2): 248-252.
3. 林锦洪, 李敏健, 许智源, 等. 社区 45 岁以上人群退行性膝关节病流行病学调查. 中华风湿病学杂志, 2005, 9(12): 718-720.
4. 韩伟, 田晓滨, 李波, 等. 人工膝关节置换术治疗重症膝关节疾病118例临床观察. 山东医药, 2008, 48(23): 79-80.
5. 孙超, 靳洪涛, 齐暄, 等. 应用超声估测膝关节积液量方法的初步建立. 河北医科大学学报, 2018, 39(3): 326-329.
6. 万华. 磁共振诊断退行性膝关节病 61 例. 中国保健营养: 下旬刊, 2014, 24(3): 1745.
7. 胡珺. 类风湿性关节炎患者膝关节软组织病变及关节积液的超声诊断. 医疗装备, 2017, 30(11): 123-124.
8. Laufer S, Solomon S B, Rubinsky B. Tissue characterization using electrical impedance spectroscopy data: a linear algebra approach. Physiol Meas, 2012, 33(6): 997-1013.
9. Kiningham R B, Gorenflo D W. Weight loss methods of high school wrestlers. Medicine & Science in Sports & Exercise, 2001, 33(5): 810-813.
10. Clarys P, Deriemaeker P, Clijsen R, et al. The influence of stratum corneum hydration on body fat determination by bioelectrical impedance analysis. Skin Res Technol, 2012, 18(1): 55-60.
11. Kang G, Yoo S K, Kim H I, et al. Differentiation between normal and cancerous cells at the single cell level using 3-D eletrode electrical impedance spectroscopy. IEEE Sens J, 2012, 12(5): 1084-1089.
12. Tsadok S. The historical evolution of bioimpedance. AACN Clin Issues, 1999, 10(3): 371-384.

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