IEEE J Biomed Health Inform. 2019 Mar;23(2):758-765. doi: 10.1109/JBHI.2018.2837380. Epub 2018 May 17.
Many post-stroke patients suffer varying degrees of hand function and fine motor skills impairment. Both passive and active hand rehabilitation training are beneficial in improving the strength and dexterity of the hands. However, hand rehabilitation programs should be prescribed based on an accurate assessment of hand function. In this paper, we propose a novel method for hand function assessment, which can accurately measure multiple joint angles of a hand simultaneously using a portable infrared based imaging device. Different from traditional assessment methods that are often based on a clinician's subjective observations and ordinal charts, this method provides an accurate, fast, and objective evaluation using infrared imaging sensors. Performance evaluation and benchmarking for the proposed measurement system were carried out using the correlation coefficient (CC) method, the root mean squared error, and the percentage residual difference method (PRD). A clinical trial involving 25 participants resulted in a higher correlation with CC of 0.9672 and PRD of 8.8%, which indicated that the developed assessment framework is compliant with multiple assessment standards such as Swanson impairment evaluation and Fugl-Meyer assessment. The new hand function assessment method can be used to replace traditional methods for fine hand function modeling and assessment in rehabilitation medicine and can also play an important role in precision post-stroke function analysis.
许多脑卒中患者都存在不同程度的手部功能和精细运动技能障碍。被动和主动手部康复训练都有益于增强手部力量和灵活性。然而，手部康复方案应基于对手部功能的准确评估来制定。本文提出了一种新的手部功能评估方法，该方法可以使用便携式基于红外的成像设备同时准确测量手部的多个关节角度。与传统的评估方法不同，传统方法通常基于临床医生的主观观察和序数图表，该方法使用红外成像传感器提供准确、快速和客观的评估。使用相关系数（CC）法、均方根误差和百分比残差（PRD）法对所提出的测量系统进行了性能评估和基准测试。一项涉及 25 名参与者的临床试验得出了更高的 CC 值为 0.9672 和 PRD 值为 8.8%，这表明所开发的评估框架符合 Swanson 损伤评估和 Fugl-Meyer 评估等多项评估标准。新的手部功能评估方法可用于替代康复医学中传统的精细手部功能建模和评估方法，也可以在精准脑卒中功能分析中发挥重要作用。
