Bento Virgílio F, Cruz Vitor T, Ribeiro David D, Cunha João P S
Institute of Electronics and Telematics Engineering of Aveiro, University of Aveiro, Aveiro, Portugal.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5456-60. doi: 10.1109/IEMBS.2011.6091392.
The paper proposes an integrated system to automatically assess motor function after neurological injury. A portable motion capture system was developed in order to obtain all the relevant three dimensional kinematics of the upper limb movement. These kinematics were analyzed by means of a decision tree classifier which features where inferred from the Functional Ability Score (FAS) of the Wolf Motor Function Test (WMFT). In addition, the system is able to correctly quantify the performance time of each selected task of the WMFT. In terms of the FAS the system and the clinician show coherent results for 3 out of 5 patients in the first task tested and 4 out of 5 for the second task tested. Regarding performance time, the mean error between the system and the clinician was of 0.216 s for the 25 trials performed (5 patients, 5 tasks each). These results represent an important proof of concept towards a system capable of precisely evaluate upper limb motor function after neurological injury.
本文提出了一种用于自动评估神经损伤后运动功能的集成系统。为了获取上肢运动所有相关的三维运动学数据，开发了一种便携式运动捕捉系统。这些运动学数据通过决策树分类器进行分析，该分类器的特征是从沃尔夫运动功能测试（WMFT）的功能能力评分（FAS）推断而来。此外，该系统能够正确量化WMFT每个选定任务的执行时间。就FAS而言，在测试的第一个任务中，系统与临床医生对5名患者中的3名得出了一致的结果，在测试的第二个任务中，5名患者中有4名结果一致。关于执行时间，在进行的25次试验（5名患者，每人5项任务）中，系统与临床医生之间的平均误差为0.216秒。这些结果是朝着能够精确评估神经损伤后上肢运动功能的系统迈出的重要概念验证。
