使用仪器化脆性物体进行感觉运动功能的自动量化评估。

Michael D Adkins, Monika K Buczak, Connor D Olsen, Marta M Iversen, Jacob A George
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引用次数: 0

摘要

准确评估手的灵活性在上肢偏瘫脑卒中患者的康复和护理中起着至关重要的作用。常见的上肢评估,如箱块测试和九孔桩测试,主要从速度方面评估总体运动功能。这些评估忽略了个人精细调节握力的能力,而握力在日常生活活动中至关重要,比如操纵脆弱的物体。在这里,我们介绍了电子握力计(EGG),这是一种仪器脆弱的物体,可以评估大体和精细运动功能。EGG嵌入称重传感器、加速度计和霍尔效应传感器,实时测量握力、加速度和相对位置(通过磁场)。当施加的握力超过阈值时,EGG可以发出可听见的“断开”声。中断次数、转移持续时间和施加的力都会实时自动记录。使用EGG,我们评估了3名偏瘫中风患者的非偏瘫和偏瘫手在内隐抓握和轻柔抓握中的感觉运动功能。对于所有参与者来说,麻痹性手在内隐抓握过程中转移EGG的时间更长。对于3名参与者中的2名,在轻柔抓握过程中,偏瘫手的抓握力明显更大。内隐抓握力的差异对每个参与者来说都是独一无二的。这项工作是朝着更广泛和定量地测量感觉运动功能迈出的重要一步,这可能最终导致改善个性化康复和更好的患者结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Quantifiable Assessments of Sensorimotor Function Using an Instrumented Fragile Object.

Accurate assessment of hand dexterity plays a critical role in informing rehabilitation and care of upper-limb hemiparetic stroke patients. Common upper-limb assessments, such as the Box and Blocks Test and Nine Hole Peg Test, primarily evaluate gross motor function in terms of speed. These assessments neglect an individual's ability to finely regulate grip force, which is critical in activities of daily living, such as manipulating fragile objects. Here we present the Electronic Grip Gauge (EGG), an instrumented fragile object that assesses both gross and fine motor function. Embedded with a load cell, accelerometer, and Hall-effect sensor, the EGG measures grip force, acceleration, and relative position (via magnetic fields) in real time. The EGG can emit an audible "break" sound when the applied grip force exceeds a threshold. The number of breaks, transfer duration, and applied forces are automatically logged in real-time. Using the EGG, we evaluated sensorimotor function in implicit grasping and gentle grasping for the non-paretic and paretic hands of 3 hemiparetic stroke patients. For all participants, the paretic hand took longer to transfer the EGG during implicit grasping. For 2 of 3 participants, grip forces were significantly greater for the paretic hand during gentle grasping. Differences in implicit grasping forces were unique to each participant. This work constitutes an important step towards more widespread and quantitative measures of sensorimotor function, which may ultimately lead to improved personalized rehabilitation and better patient outcomes.

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