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基于个体手指运动追踪的混合现实康复治疗对脑卒中患者手部和手指的疗效。

Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke.

机构信息

Department of Rehabilitation Medicine, National Rehabilitation Center, Ministry of Health and Welfare, 58, Samgaksan-ro, Gangbuk-gu, Seoul, 01022, Republic of Korea.

Business Growth Support Center, Seongnam, 13449, Korea.

出版信息

J Neuroeng Rehabil. 2024 Aug 10;21(1):140. doi: 10.1186/s12984-024-01418-6.

Abstract

BACKGROUND

Mixed reality (MR) is helpful in hand training for patients with stroke, allowing them to fully submerge in a virtual space while interacting with real objects. The recognition of individual finger movements is required for MR rehabilitation. This study aimed to assess the effectiveness of updated MR-board 2, adding finger training for patients with stroke.

METHODS

Twenty-one participants with hemiplegic stroke (10 with left hemiplegia and 11 with right hemiplegia; nine female patients; 56.7 ± 14.2 years of age; and onset of stroke 32.7 ± 34.8 months) participated in this study. MR-board 2 comprised a board plate, a depth camera, plastic-shaped objects, a monitor, a palm-worn camera, and seven gamified training programs. All participants performed 20 self-training sessions involving 30-min training using MR-board 2. The outcome measurements for upper extremity function were the Fugl-Meyer assessment (FMA) upper extremity score, repeated number of finger flexion and extension (Repeat-FE), the thumb opposition test (TOT), Box and Block Test score (BBT), Wolf Motor Function Test score (WMFT), and Stroke Impact Scale (SIS). One-way repeated measures analysis of variance and the post hoc test were applied for the measurements. MR-board 2 recorded the fingers' active range of motion (AROM) and Dunnett's test was used for pairwise comparisons.

RESULTS

Except for the FMA-proximal score (p = 0.617) and TOT (p = 0.005), other FMA scores, BBT score, Repeat-FE, WMFT score, and SIS stroke recovery improved significantly (p < 0.001) during MR-board 2 training and were maintained until follow-up. All AROM values of the finger joints changed significantly during training (p < 0.001).

CONCLUSIONS

MR-board 2 self-training, which includes natural interactions between humans and computers using a tangible user interface and real-time tracking of the fingers, improved upper limb function across impairment, activity, and participation. MR-board 2 could be used as a self-training tool for patients with stroke, improving their quality of life.

TRIAL REGISTRATION NUMBER

This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).

摘要

背景

混合现实(MR)在手部训练中对脑卒中患者很有帮助,让他们可以在完全沉浸于虚拟空间的同时与真实物体互动。MR 康复需要识别个体手指运动。本研究旨在评估更新后的 MR-board 2 的有效性,该设备增加了针对脑卒中患者的手指训练。

方法

21 名偏瘫脑卒中患者(左侧偏瘫 10 名,右侧偏瘫 11 名;9 名女性患者;56.7±14.2 岁;脑卒中发病 32.7±34.8 个月)参与了本研究。MR-board 2 由板状、深度相机、塑料形状物体、监视器、戴在手掌上的相机和 7 个游戏化训练程序组成。所有参与者都完成了 20 次自我训练,每次使用 MR-board 2 进行 30 分钟的训练。上肢功能的测量结果包括 Fugl-Meyer 评估(FMA)上肢评分、手指屈伸重复次数(Repeat-FE)、拇指对指测试(TOT)、Box and Block Test 评分(BBT)、Wolf 运动功能测试(WMFT)和脑卒中影响量表(SIS)。采用单向重复测量方差分析和事后检验进行测量。MR-board 2 记录手指的主动活动范围(AROM),并采用 Dunnett 检验进行两两比较。

结果

除了 FMA-近端评分(p=0.617)和 TOT(p=0.005)外,FMA 其他评分、BBT 评分、Repeat-FE、WMFT 评分和 SIS 脑卒中恢复在 MR-board 2 训练期间均显著改善(p<0.001),并在随访时得以维持。在训练过程中,所有手指关节的 AROM 值均发生显著变化(p<0.001)。

结论

MR-board 2 自我训练包括使用有形用户界面和实时跟踪手指进行人与计算机的自然交互,改善了上肢功能的损伤、活动和参与程度。MR-board 2 可以作为脑卒中患者的自我训练工具,提高他们的生活质量。

试验注册号

本研究在临床研究信息服务(CRIS:KCT0004167)注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9ed/11316335/e62cc55acd65/12984_2024_1418_Fig1_HTML.jpg

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