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使用动作研究手臂测试对健康受试者和脑卒中后患者的手部功能进行定量评估。

Quantitative Assessment of Hand Function in Healthy Subjects and Post-Stroke Patients with the Action Research Arm Test.

机构信息

Escola Politècnica Superior d'Enginyeria de Manresa (EPSEM), Polytechnic University of Catalonia (UPC), 08242 Manresa, Spain.

Department of Manufacturing Technologies, Polytechnic University of Uruapan Michoacán, Uruapan 60210, Michoacán, Mexico.

出版信息

Sensors (Basel). 2022 May 10;22(10):3604. doi: 10.3390/s22103604.


DOI:10.3390/s22103604
PMID:35632013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9147783/
Abstract

The Action Research Arm Test (ARAT) can provide subjective results due to the difficulty assessing abnormal patterns in stroke patients. The aim of this study was to identify joint impairments and compensatory grasping strategies in stroke patients with left (LH) and right (RH) hemiparesis. An experimental study was carried out with 12 patients six months after a stroke (three women and nine men, mean age: 65.2 ± 9.3 years), and 25 healthy subjects (14 women and 11 men, mean age: 40.2 ± 18.1 years. The subjects were evaluated during the performance of the ARAT using a data glove. Stroke patients with LH and RH showed significantly lower flexion angles in the MCP joints of the Index and Middle fingers than the Control group. However, RH patients showed larger flexion angles in the proximal interphalangeal (PIP) joints of the Index, Middle, Ring, and Little fingers. In contrast, LH patients showed larger flexion angles in the PIP joints of the Middle and Little fingers. Therefore, the results showed that RH and LH patients used compensatory strategies involving increased flexion at the PIP joints for decreased flexion in the MCP joints. The integration of a data glove during the performance of the ARAT allows the detection of finger joint impairments in stroke patients that are not visible from ARAT scores. Therefore, the results presented are of clinical relevance.

摘要

动作研究手臂测试(ARAT)可能会因为评估中风患者异常模式的困难而产生主观结果。本研究旨在识别左(LH)和右(RH)偏瘫中风患者的关节损伤和代偿抓握策略。一项实验研究共纳入了 12 名中风后 6 个月的患者(3 名女性和 9 名男性,平均年龄:65.2±9.3 岁)和 25 名健康受试者(14 名女性和 11 名男性,平均年龄:40.2±18.1 岁)。使用数据手套评估患者在执行 ARAT 时的表现。与对照组相比,LH 和 RH 中风患者的 Index 和 Middle 手指的 MCP 关节的屈曲角度明显较低。然而,RH 患者的 Index、Middle、Ring 和 Little 手指的 PIP 关节的屈曲角度较大。相比之下,LH 患者的 Middle 和 Little 手指的 PIP 关节的屈曲角度较大。因此,结果表明 RH 和 LH 患者使用代偿策略,即增加 PIP 关节的屈曲度来补偿 MCP 关节的屈曲度减小。在执行 ARAT 期间整合数据手套可以检测到中风患者在 ARAT 评分中无法看到的手指关节损伤。因此,所呈现的结果具有临床意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ccf/9147783/d2411d107a27/sensors-22-03604-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ccf/9147783/e74868c0bc53/sensors-22-03604-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ccf/9147783/d2411d107a27/sensors-22-03604-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ccf/9147783/e74868c0bc53/sensors-22-03604-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ccf/9147783/d2411d107a27/sensors-22-03604-g002.jpg

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引用本文的文献

[1]
Psychometric properties of technology-assisted matching paradigms in post-stroke upper limb proprioceptive assessment: a scoping review.

Front Neurol. 2025-6-26

[2]
Smartphone-Based Hand Function Assessment: Systematic Review.

J Med Internet Res. 2024-9-16

[3]
Biomimetic Design of a Tendon-Driven Myoelectric Soft Hand Exoskeleton for Upper-Limb Rehabilitation.

Biomimetics (Basel). 2023-7-19

[4]
Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review.

Front Hum Neurosci. 2023-7-6

[5]
Finger Kinematics during Human Hand Grip and Release.

Biomimetics (Basel). 2023-6-8

[6]
Classification Models of Action Research Arm Test Activities in Post-Stroke Patients Based on Human Hand Motion.

Sensors (Basel). 2022-11-23

本文引用的文献

[1]
World Stroke Organization (WSO): Global Stroke Fact Sheet 2022.

Int J Stroke. 2022-1

[2]
Poststroke Grasp Ability Assessment Using an Intelligent Data Glove Based on Action Research Arm Test: Development, Algorithms, and Experiments.

IEEE Trans Biomed Eng. 2022-2

[3]
Clinicians' perspectives on inertial measurement units in clinical practice.

PLoS One. 2020-11-13

[4]
Flexion Angles of Finger Joints in Two-Finger Tip Pinching Using 3D Bone Models Constructed from X-Ray Computed Tomography (CT) Images.

Appl Bionics Biomech. 2020-9-10

[5]
Inertial Measurement Unit Based Upper Extremity Motion Characterization for Action Research Arm Test and Activities of Daily Living.

Sensors (Basel). 2019-4-14

[6]
Intensive upper limb neurorehabilitation in chronic stroke: outcomes from the Queen Square programme.

J Neurol Neurosurg Psychiatry. 2019-2-15

[7]
Using Inertial Measurement Units and Electromyography to Quantify Movement during Action Research Arm Test Execution.

Sensors (Basel). 2018-8-22

[8]
Inertial Sensor Measurements of Upper-Limb Kinematics in Stroke Patients in Clinic and Home Environment.

Front Bioeng Biotechnol. 2018-4-12

[9]
Functional range of motion in the metacarpophalangeal joints of the hand measured by single axis electric goniometers.

J Orthop Sci. 2018-5

[10]
Functional range of motion of the hand joints in activities of the International Classification of Functioning, Disability and Health.

J Hand Ther. 2017

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