Cahill-Rowley Katelyn, Rose Jessica
Department of Bioengineering, Stanford University, Stanford, CA, USA; Motion & Gait Analysis Laboratory, Lucile Packard Children׳s Hospital, Palo Alto, CA, USA; Department of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, CA, USA.
Motion & Gait Analysis Laboratory, Lucile Packard Children׳s Hospital, Palo Alto, CA, USA; Department of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, CA, USA.
J Biomech. 2017 Feb 8;52:11-16. doi: 10.1016/j.jbiomech.2016.10.031. Epub 2016 Oct 26.
Reaching is a well-practiced functional task crucial to daily living activities, and temporal-spatial measures of reaching reflect function for both adult and pediatric populations with upper-extremity motor impairments. Inertial sensors offer a mobile and inexpensive tool for clinical assessment of movement. This research outlines a method for measuring temporal-spatial reach parameters using inertial sensors, and validates these measures with traditional marker-based motion capture. 140 reaches from 10 adults, and 30 reaches from nine children aged 18-20 months, were recorded and analyzed using both inertial-sensor and motion-capture methods. Inertial sensors contained three-axis accelerometers, gyroscopes, and magnetometers. Gravitational offset of accelerometer data was measured when the sensor was at rest, and removed using sensor orientation measured at rest and throughout the reach. Velocity was calculated by numeric integration of acceleration, using a null-velocity assumption at reach start. Sensor drift was neglected given the 1-2s required for a reach. Temporal-spatial reach parameters were calculated independently for each data acquisition method. Reach path length and distance, peak velocity magnitude and timing, and acceleration at contact demonstrated consistent agreement between sensor- and motion-capture-based methods, for both adult and toddler reaches, as evaluated by intraclass correlation coefficients from 0.61 to 1.00. Taken together with actual difference between method measures, results indicate that these functional reach parameters may be reliably measured with inertial sensors.
伸手够物是一项在日常生活活动中经常练习的功能性任务,对于上肢运动功能受损的成人和儿童群体而言,伸手够物的时空测量反映了其功能状况。惯性传感器为运动的临床评估提供了一种便捷且经济的工具。本研究概述了一种使用惯性传感器测量伸手够物时空参数的方法,并用传统的基于标记的运动捕捉技术对这些测量方法进行了验证。使用惯性传感器和运动捕捉两种方法记录并分析了10名成年人的140次伸手够物动作,以及9名18至20个月大儿童的30次伸手够物动作。惯性传感器包含三轴加速度计、陀螺仪和磁力计。当传感器静止时测量加速度计数据的重力偏移,并利用静止时和整个伸手够物过程中测量的传感器方向将其消除。通过对加速度进行数值积分来计算速度,在伸手够物开始时采用零速度假设。考虑到一次伸手够物动作需要1至2秒,因此忽略了传感器漂移。针对每种数据采集方法独立计算伸手够物的时空参数。通过组内相关系数在0.61至1.00之间的评估,结果表明,对于成人和幼儿的伸手够物动作,基于传感器的方法和基于运动捕捉的方法在伸手够物路径长度和距离、峰值速度大小和时间以及接触时的加速度方面均显示出一致的一致性。结合方法测量之间的实际差异,结果表明这些功能性伸手够物参数可以通过惯性传感器可靠地测量。