利用单一可穿戴传感器预测四肢瘫痪脊髓损伤患者在抓取任务中的上肢补偿

Sophie Schneider, W. Popp, M. Brogioli, Urs Albisser, Stefan J Ortmann, Inge-Marie Velstra, László Demkó, R. Gassert, A. Curt
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引用次数: 4

摘要

上肢(UL)代偿是高度脊髓损伤(SCI)患者,即四肢瘫痪患者在感觉运动缺陷的情况下进行日常生活活动(adl)的常见策略。目前缺乏一种既适用于临床常规又适用于患者日常生活的客观、灵敏的评估UL代偿的工具。在这项工作中,我们提出了一个度量来量化使用单个惯性测量单元(IMU)的补偿。选取17例脊髓损伤患者和18例健康对照进行6项强度、敏感性和握力分级重定义评估(GRASSP)的抓握任务,并对其腕部附着的IMU进行前臂俯俯角扩展。使用前臂俯仰角的扩展,可以在所有六种不同的抓取任务中以非常好的准确度对UL补偿进行分类。此外,前臂俯仰角的分布与定性和定量的GRASSP理解得分和任务持续时间有中等到非常强的相关性。因此,我们认为我们提出的方法具有很高的潜力,可以准确客观地分类补偿,并可用于量化adl中UL补偿的程度。因此,该方法可用于临床试验,研究针对UL功能的干预措施的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting upper limb compensation during prehension tasks in tetraplegic spinal cord injured patients using a single wearable sensor
Upper limb (UL) compensation is a common strategy of patients with a high spinal cord injury (SCI), i.e., tetraplegic patients, to perform activities of daily living (ADLs) despite their sensorimotor deficits. Currently, an objective and sensitive tool to assess UL compensation, which is applicable in the clinical routine and in the daily life of patients, is missing. In this work, we propose a metric to quantify this compensation using a single inertial measurement unit (IMU). The spread of forearm pitch angles of an IMU attached to the wrist of 17 SCI patients and 18 healthy controls performing six prehension tasks of the graded redefined assessment of strength, sensibility and prehension (GRASSP) was extracted. Using the spread of the forearm pitch angles, a classification of UL compensation was possible with very good to excellent accuracies in all six different prehension tasks. Furthermore, the spread of forearm pitch angles correlated moderately to very strongly with qualitative and quantitative GRASSP prehension scores and the task duration. Therefore, we conclude that our proposed method has a high potential to classify compensation accurately and objectively and might be used to quantify the degree of UL compensation in ADLs. Thus, this method could be implemented in clinical trials investigating the effectiveness of interventions targeting UL functions.
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