Evidence map›Paper›PMID 40394647›Full record

ArticleJournal of neuroengineering and rehabilitation2025

Enhancing lower-limb rehabilitation: a scoping review of augmented reality environment.

Yuanyuan Liu, Qiong Zhang, Weiyi Li

Abstract readScoping Review
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuanyuan LiuDepartment of Industrial Design, School of Mechanical Engineering and Automation, Shahe Campus, Beihang University, No. 9 Nansan Road, Shahe Higher Education ParkChangping District, Beijing, 102206, China. yuanyuanliu@buaa.edu.cn.
Qiong ZhangDepartment of Industrial Design, School of Mechanical Engineering and Automation, Shahe Campus, Beihang University, No. 9 Nansan Road, Shahe Higher Education ParkChangping District, Beijing, 102206, China.
Weiyi LiDepartment of Industrial Design, School of Mechanical Engineering and Automation, Shahe Campus, Beihang University, No. 9 Nansan Road, Shahe Higher Education ParkChangping District, Beijing, 102206, China.

Funding

Beige Institute of China No. BGIXM2022-01National Natural Science Foundation of China No. 52305245The Cutting-edge Interdisciplinary Project of Beihang University No. KG16250001
6 · The paper itself

Abstract

backgroundLower-limb rehabilitation is crucial for restoring motor function in individuals with physical impairments; however, traditional rehabilitation approaches often encounter challenges such as limited resources and reduced patient motivation. Augmented reality (AR) offers an innovative approach by enriching rehabilitation with interactive and engaging experiences, thereby enhancing both motivation and treatment outcomes. AR environments enable patients to practice exercises in an immersive setting that emulates real-life scenarios, potentially increasing adherence and improving functional recovery.

methodsThis scoping review analyzed 25 peer-reviewed studies on the use of AR within the "Environment" component of the Human-Computer-Environment system for lower-limb rehabilitation. We present a taxonomy of existing AR systems, categorizing them by rehabilitation tasks (content) and interaction modes (form), which identify both physical and virtual elements that contribute to a supportive AR environment. DISCUSSION: The findings suggest that well-designed AR environments offer a flexible and cost-effective approach to various rehabilitation tasks. Customization is essential for addressing specific rehabilitation stages, including muscle strengthening, balance improvement, and gait training. The integration of multisensory feedback, such as visual, auditory, and haptic cues, enhances patient engagement and provides real-time performance monitoring. Effective AR environments must also account for the distinct needs of each limb, particularly for bilateral impairments, and ensure sufficient space for safe movement. By providing an individualized rehabilitation experience, AR environments have the potential to significantly improve patient motivation and outcomes. Future research should explore the integration of AR environments with assistive technologies, such as wearable devices and exoskeletons, to further enhance rehabilitation possibilities.

Indexed as

Augmented RealityExercise TherapyLower ExtremityHumansAR environment designAugmented realityLower-limb rehabilitationMotor function recoveryMultisensory interactions

Identifiers

PMID40394647
PMCPMC12093737

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.