van Meulen Fokke B, van Beijnum Bert-Jan F, Buurke Jaap H, Veltink Peter H
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:1407-1412. doi: 10.1109/ICORR.2017.8009445.
Reduction of the number of sensors needed to evaluate arm movements, makes a system for the assessment of human body movements more suitable for clinical practice and daily life assessments. In this study, we propose an algorithm to reconstruct lower arm orientation, velocity and position, based on a sensing system which consists of only one inertial measurement unit (IMU) to the forearm. Lower arm movements were reconstructed using a single IMU and assuming that within a measurement there are moments without arm movements. The proposed algorithm, together with a single IMU attached to the forearm, may be used to evaluate lower arm movements during clinical assessments or functional tasks. In this pilot study, reconstructed quantities were compared with an optical reference system. The limits of agreement in the magnitude of the orientation vector and the norm of the velocity vectors are respectively 4.2 deg (normalized, 5.2 percent) and 7.1 cm/s (normalized, 5.8 percent). The limit of agreement of the difference between the reconstructed positions of both sensing systems were relatively greater 7.7 cm (normalized, 16.8 percent).
减少评估手臂运动所需的传感器数量,可使人体运动评估系统更适用于临床实践和日常生活评估。在本研究中,我们提出了一种算法,用于基于仅由一个惯性测量单元(IMU)连接到前臂的传感系统来重建下臂的方向、速度和位置。通过使用单个IMU并假设在一次测量中有手臂不运动的时刻来重建下臂运动。所提出的算法,连同连接到前臂的单个IMU,可用于在临床评估或功能任务期间评估下臂运动。在这项初步研究中,将重建的量与光学参考系统进行了比较。方向向量大小和速度向量范数的一致性界限分别为4.2度(归一化,5.2%)和7.1厘米/秒(归一化,5.8%)。两个传感系统重建位置之间差异的一致性界限相对较大,为7.7厘米(归一化,16.8%)。