AN EXAMINATION OF PROCEDURES FOR DETERMINING BODY SEGMENT ATTITUDE AND POSITION FROM NOISY BIOMECHANICAL DATA
AN EXAMINATION OF PROCEDURES FOR DETERMINING BODY SEGMENT ATTITUDE AND POSITION FROM NOISY BIOMECHANICAL DATA
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DOI：
10.1016/1350-4533(95)91877-j
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发表时间：
1995-03-01
影响因子：
2.2
通讯作者：
CHALLIS, JH
中科院分区：
文献类型：
--
作者：
CHALLIS, JH
对于运动的运动学分析，需要确定刚体在特定参考系中的位置和姿态。在生物力学中，这些刚体通常是人体的部分，远端节段的位置通常是相对于近端节段定义的。本研究的目的是比较在四种不同噪声条件下确定刚体位置和姿态的三种方法的准确性，这些条件被设计为模拟生物力学研究中发现的条件。研究的一种技术假设数据是无误差的(1)；另一种使用矩阵代数并采用矩阵摄动理论(2)；第三种是最小二乘法(3)。评估是使用计算机模拟进行的，该模拟试图模拟生物力学研究中发现的“典型”实验条件。使用螺旋角定义远端刚体的高度，这些角度是使用随机数生成器生成的。所有三种技术都通过预测一组已知的螺旋角和不同噪声条件下的位置向量的能力来评估。研究表明，最小二乘技术是确定所调查病例高度矩阵和位置向量最准确的方法。所研究的技术都不能考虑各向异性噪声条件，然而各向异性噪声条件通常是在使用生物力学中常见的测量程序时获得的。该研究还强调了在计算刚体的位置和姿态之前需要对数据进行低通滤波。
For the kinematic analysis of movement it is necessary to determine the position and attitude of rig-id bodies in some specified reference frame. In biomechanics, these rigid bodies are usually segments of the human body, and the position of a distal segment is normally defined relative to a proximal segment. It was the purpose of this study to compare the accuracy of three approaches for the determination of the position and attitude of rigid bodies under four different noise conditions which were designed to model the conditions found in biomechanics studies. One technique investigated assumes the data are error free(1); another uses matrix algebra and employs matrix perturbation theory(2); and the third is a least-squares procedure(3). The evaluation was performed using a computer simulation which attempted to model 'typical' experimental conditions found in biomechanical studies. The altitude of the distal rigid body was (defined using helical angles, with these angles being generated using a random number generator All three techniques were assessed by their ability to predict a set of known helical angles and position vectors under different noise conditions. The study demonstrated that the least-squares technique was the most accurate for determining the altitude matrix and position vector for the cases investigated. None of the techniques investigated could allow for anisotropic noise conditions, yet anisotropic noise conditions are often obtained when using measurement procedures common in biomechanics. The study also highlighted the need to low-pass filter data prior to the computation of the position and attitude of rigid bodies.