Faculty of Physical Sciences and Engineering, University of Southampton, Hampshire, UK.
Physiol Meas. 2014 Sep;35(9):1751-68. doi: 10.1088/0967-3334/35/9/1751. Epub 2014 Aug 13.
In this paper we present a method for recognising three fundamental movements of the human arm (reach and retrieve, lift cup to mouth, rotation of the arm) by determining the orientation of a tri-axial accelerometer located near the wrist. Our objective is to detect the occurrence of such movements performed with the impaired arm of a stroke patient during normal daily activities as a means to assess their rehabilitation. The method relies on accurately mapping transitions of predefined, standard orientations of the accelerometer to corresponding elementary arm movements. To evaluate the technique, kinematic data was collected from four healthy subjects and four stroke patients as they performed a number of activities involved in a representative activity of daily living, 'making-a-cup-of-tea'. Our experimental results show that the proposed method can independently recognise all three of the elementary upper limb movements investigated with accuracies in the range 91-99% for healthy subjects and 70-85% for stroke patients.
本文提出了一种通过确定位于手腕附近的三轴加速度计的方向来识别人体手臂三个基本运动（伸手取物、端杯至嘴边、手臂旋转）的方法。我们的目标是检测到中风患者使用受损手臂在日常活动中进行这些运动，作为评估其康复情况的一种手段。该方法依赖于准确地将预定义的、标准的加速度计方向的转变映射到相应的基本手臂运动。为了评估该技术，从四名健康受试者和四名中风患者那里收集了运动学数据，他们进行了一些与日常生活活动相关的活动，例如“泡茶”。我们的实验结果表明，所提出的方法可以独立识别所有三种被研究的基本上肢运动，对于健康受试者的准确率在 91%-99%之间，对于中风患者的准确率在 70%-85%之间。
