Finco M G, Patterson Rita M, Moudy Sarah C
Department of Anatomy and Physiology, University of North Texas Health Science Center, Fort Worth, TX, USA.
Department of Family and Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA.
J Rehabil Assist Technol Eng. 2023 Jun 29;10:20556683231182322. doi: 10.1177/20556683231182322. eCollection 2023 Jan-Dec.
Inertial measurement units (IMUs) may be viable options to collect gait data in clinics. This study compared IMU to motion capture data in individuals who use unilateral lower-limb prostheses.
Participants walked with lower-body IMUs and reflective markers in a motion analysis space. Sagittal plane hip, knee, and ankle waveforms were extracted for the entire gait cycle. Discrete points of peak flexion, peak extension, and range of motion were extracted from the waveforms. Stance times were also extracted to assess the IMU software's accuracy at detecting gait events. IMU and motion capture-derived data were compared using absolute differences and root mean square error (RMSE).
Five individuals ( = 3 transtibial; = 2 transfemoral) participated. IMU prosthetic limb data was similar to motion capture (RMSE: waveform ≤4.65°; discrete point ≤9.04°; stance ≤0.03s). However, one transfemoral participant had larger differences at the microprocessor knee joint (RMSE: waveform ≤15.64°; discrete ≤29.21°) from IMU magnetometer interference. Intact limbs tended to have minimal differences between IMU and motion capture data (RMSE: waveform ≤6.33°; discrete ≤9.87°; stance ≤0.04s).
Findings from this pilot study suggest IMUs have the potential to collect data similar to motion capture systems in sagittal plane kinematics and stance time.
惯性测量单元(IMU)可能是在临床环境中收集步态数据的可行选择。本研究比较了使用单侧下肢假肢的个体中IMU与动作捕捉数据。
参与者在运动分析空间中佩戴下肢IMU并附着反光标记行走。提取整个步态周期的矢状面髋、膝和踝关节波形。从波形中提取峰值屈曲、峰值伸展和运动范围的离散点。还提取站立时间以评估IMU软件检测步态事件的准确性。使用绝对差值和均方根误差(RMSE)比较IMU和动作捕捉得出的数据。
五名个体(3名经胫骨截肢;2名经股骨截肢)参与研究。IMU假肢肢体数据与动作捕捉数据相似(RMSE:波形≤4.65°;离散点≤9.04°;站立时间≤0.03秒)。然而,一名经股骨截肢参与者由于IMU磁力计干扰,在微处理器膝关节处差异较大(RMSE:波形≤15.64°;离散点≤29.21°)。健侧肢体的IMU和动作捕捉数据之间差异往往最小(RMSE:波形≤6.33°;离散点≤9.87°;站立时间≤0.04秒)。
这项初步研究的结果表明,IMU在矢状面运动学和站立时间方面有潜力收集与动作捕捉系统相似的数据。