Li C, Zhu L L, Yang X D, et al. Research on the measurement method of artificial knee joint based on normal vector tracking[J]. Opto-Electron Eng, 2021, 48(7): 210059. doi: 10.12086/oee.2021.210059
Citation: Li C, Zhu L L, Yang X D, et al. Research on the measurement method of artificial knee joint based on normal vector tracking[J]. Opto-Electron Eng, 2021, 48(7): 210059. doi: 10.12086/oee.2021.210059

Research on the measurement method of artificial knee joint based on normal vector tracking

    Fund Project: Science Challenge Program (TZ2018006-0203-01) and the National Key Research and Development Program of China (2017YFA0701200)
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  • Artificial knee joint plays an important role in improving the joint condition of patients. The surface deviation of artificial knee joint will directly affect the treatment effect of patients. Therefore, it is necessary to evaluate the surface of artificial knee joint with high precision before it is put into use. The slope of the artificial knee joint is complex and varies greatly, and there are great differences in the knee joint surface among different patients. The complexity and unknowability of artificial knee joint make it difficult to measure its surface with high precision. In this paper, a normal vector tracking measurement method based on contact inductance linear displacement sensor (LVDT) is proposed, and a rotary scanning measurement system is built. This method performs curve fitting on the measured points, predicts the changing trend of the measured surface, and adaptively adjusts the sampling position and posture of the LVDT to make it measure approximately along the normal direction of the sampling point, so as to realize the adaptive rotation measurement of the complex and unknown surface with large slope. Through the measurement experiment of the standard ball, the measurement error of the calibration system is about 48.21 μm. In addition, the measurement experiment of the artificial knee joint model is carried out to verify the feasibility of the method.
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  • Overview: The global demand for total knee arthroplasty for arthropathy patients is increasing year by year. Total knee arthroplasty is the use of artificial knee joint to replace the diseased knee joint to improve the condition. The artificial knee joint is made of biomaterials such as titanium alloy and zirconia ceramics according to the shape of the patient's own joint, and the facial shape will directly affect the therapeutic effect of the patient. Therefore, it is necessary to evaluate the surface shape of artificial knee joint with high precision in production and application. The artificial knee joint is composed of two irregular fan annulus and connecting parts. The curvature change is more than 120° in the sagittal plane and about 16° in the coronal plane. In addition, there are great differences in knee joint shape among different patients, as a result, there is no unified mathematical model. The complexity and unknown nature of the artificial knee joint lead to the lack of an effective high-precision measurement method after processing, and the manufacturing quality of the artificial knee joint cannot be evaluated correctly, which limits the development of the artificial knee joint manufacturing. In order to solve the problem in the surface contour measurement of artificial knee joint, a normal vector tracking measurement method based on contact inductance linear displacement sensor (LVDT) is proposed in this paper, and a rotary scanning measurement system was built. In this method, the curve fitting of the measured points is used to predict the changing trend of the measured surface, and the sampling position and sampling interval of LVDT are adaptively adjusted to make it measure approximately along the normal direction of the sampling points, so as to realize the rotary measurement of the complex and unknown surface with large slope. Through the measurement experiment of the standard ball, the measurement error of the calibration system is about 48.21 μm, and the surface of the artificial knee joint model is measured and evaluated to verify the feasibility of the method.

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