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

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Journal of NeuroEngineering and Rehabilitation Pub Date : 2024-08-10 DOI:10.1186/s12984-024-01418-6
Yeajin Ham, Dong-Seok Yang, Younggeun Choi, Joon-Ho Shin
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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).

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基于混合现实技术的手部和手指康复训练对中风患者手指运动追踪的效果。
背景:混合现实(MR)有助于中风患者的手部训练,使他们能够完全沉浸在虚拟空间中,同时与真实物体互动。混合现实康复训练需要识别个别手指动作。本研究旨在评估更新版 MR-board 2 的效果,增加对中风患者的手指训练:21名中风偏瘫患者(左侧偏瘫10人,右侧偏瘫11人;女性9人;年龄(56.7±14.2)岁;中风发病时间(32.7±34.8)个月)参加了本研究。MR-board 2 由一块板、一个深度摄像头、塑料状物体、一个显示器、一个掌上摄像头和七个游戏化训练程序组成。所有参与者均使用 MR-board 2 进行了 20 次自我训练,每次 30 分钟。上肢功能的结果测量包括福格尔-迈耶评估(FMA)上肢评分、手指屈伸重复次数(Repeat-FE)、拇指对抗测试(TOT)、箱形和块形测试评分(BBT)、沃尔夫运动功能测试评分(WMFT)和卒中影响量表(SIS)。测量采用单因素重复测量方差分析和事后检验。MR-board 2记录了手指的主动运动范围(AROM),并采用邓尼特检验进行配对比较:结果:除 FMA 近端评分(p = 0.617)和 TOT(p = 0.005)外,其他 FMA 评分、BBT 评分、Repeat-FE、WMFT 评分和 SIS 中风恢复情况均有显著改善(p 结论:MR-board 2 的自我训练效果显著:MR-board 2 自我训练包括使用有形用户界面和手指实时跟踪进行人与计算机之间的自然互动,可改善上肢功能障碍、活动和参与。MR-board 2可作为中风患者的自我训练工具,提高他们的生活质量:本研究已在临床研究信息服务机构注册(CRIS:KCT0004167)。
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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
期刊最新文献
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