激光与光电子学进展, 2020, 57 (3): 031203, 网络出版: 2020-02-17  

中医正骨仿真训练系统中噪声数据的处理方法 下载: 806次

Noise Data Processing Methods in Simulation and Training System of Bone-Setting Manipulations in Traditional Chinese Medicine
作者单位
山东中医药大学理工学院, 山东 济南 250355
摘要
中医正骨治疗骨折具有“痛苦轻、愈合快、恢复好”等特点,为骨伤患者治疗首选。然而,正骨手法难教、难学,阻碍了中医正骨的传承和发展。开发的中医正骨仿真训练系统采集的数据因传感器和信道传输等因素不可避免地带有噪声,严重制约了正骨手法的量化、分析和评价。为此,针对中医正骨手法变化繁复的特点,提出了在卡尔曼滤波(KF)中增加速度、加速度向量,设计了0阶、1阶和2阶卡尔曼滤波算法,并通过实验方法确定了超参数的设置原则。将本文方法应用于澳大利亚手语标志数据集和中医正骨仿真训练系统中,能够滤除噪声,并较好地保留了正骨手法动作细节。
Abstract
Orthopedics of bone-setting in traditional Chinese medicine (TCM) for the treatments of fractures has such characteristics as little pain, quick healing, and well recovery, which is the first choice for bone injury patients. However, the bone-setting manipulations in TCM are difficult to teach and learn, which hinders their inheritance and development. Inevitably, there will be noise data in the developed simulation and training system of bone-setting manipulations in TCM because of sensors’ qualities and transmission channels, which severely restricts the quantization, analysis, and evaluation of bone-setting manipulations in TCM. Aiming at the complexity of the bone-setting manipulations in TCM, the zeroth order, first order, and second order Kalman filtering (KF) combining velocity and acceleration vectors was proposed; meanwhile the principle of hyperparameter adjustment was determined through experiments. The proposed method is applied on the Australian Sign Language signage data set and the simulation and training system of bone-setting manipulations in TCM. The experiment results show that noise data are filtered and the details of the bone-setting manipulations in TCM are preserved well.

仇大伟, 曹慧, 刘静. 中医正骨仿真训练系统中噪声数据的处理方法[J]. 激光与光电子学进展, 2020, 57(3): 031203. Dawei Qiu, Hui Cao, Jing Liu. Noise Data Processing Methods in Simulation and Training System of Bone-Setting Manipulations in Traditional Chinese Medicine[J]. Laser & Optoelectronics Progress, 2020, 57(3): 031203.

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