School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, Serbia.
Sensors (Basel). 2011;11(11):10571-85. doi: 10.3390/s111110571. Epub 2011 Nov 7.
A new method for estimation of angles of leg segments and joints, which uses accelerometer arrays attached to body segments, is described. An array consists of two accelerometers mounted on a rigid rod. The absolute angle of each body segment was determined by band pass filtering of the differences between signals from parallel axes from two accelerometers mounted on the same rod. Joint angles were evaluated by subtracting absolute angles of the neighboring segments. This method eliminates the need for double integration as well as the drift typical for double integration. The efficiency of the algorithm is illustrated by experimental results involving healthy subjects who walked on a treadmill at various speeds, ranging between 0.15 m/s and 2.0 m/s. The validation was performed by comparing the estimated joint angles with the joint angles measured with flexible goniometers. The discrepancies were assessed by the differences between the two sets of data (obtained to be below 6 degrees) and by the Pearson correlation coefficient (greater than 0.97 for the knee angle and greater than 0.85 for the ankle angle).
一种新的估计腿部和关节角度的方法,使用附在身体部位上的加速度计阵列来描述。该阵列由安装在刚性杆上的两个加速度计组成。通过对安装在同一杆上的两个加速度计的平行轴信号之间的差异进行带通滤波,可以确定每个身体部位的绝对角度。通过减去相邻节段的绝对角度来评估关节角度。该方法消除了双重积分的需要以及双重积分特有的漂移。通过涉及在各种速度(0.15 m/s 至 2.0 m/s)下在跑步机上行走的健康受试者的实验结果来说明算法的效率。通过将估计的关节角度与使用柔性量角器测量的关节角度进行比较来进行验证。通过两组数据之间的差异(评估结果低于 6 度)和 Pearson 相关系数(膝关节角度大于 0.97,踝关节角度大于 0.85)来评估差异。