ArticleFrontiers in neurology2025
Cueing-assisted gamified augmented-reality gait-and-balance rehabilitation at home for people with Parkinson's disease: protocol of a pragmatic randomized controlled trial implemented in the clinical pathway.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06590987 (Cueing-assisted Gamified Augmented-reality Gait-and-balance Rehabilitation at Home for People With Parkinson's Disease), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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.
Cueing-assisted Gamified Augmented-reality Gait-and-balance Rehabilitation at Home for People With Parkinson's Disease: Protocol of a Pragmatic Randomized Controlled Trial Implemented in the Clinical Pathway
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual reality training for gait disorders in Parkinson's disease: a bibliometric and visual analysis of hotspots and trends using CiteSpace and VOSviewer.Frontiers in neurologyPooled it
- Cueing-assisted gamified augmented-reality home rehabilitation for gait and balance in people with Parkinson disease: feasibility and effectiveness in the clinical pathway.Physical therapy · 2026Trial
- From Striatum to Prescription: An Evidence-Based and Bayesian Framework for Neuromotor Rehabilitation in Parkinson's Disease.NeuroSci · 2026Review
- FDA-Listed Interactive Devices for Home Movement Rehabilitation After Stroke: A Mixed-Methods Study of Availability, User Needs, Information Gaps, and an Accompanying Dataset.Bioengineering (Basel, Switzerland) · 2026Article
- Home-Based Augmented Reality Exercise For People With Parkinson Disease: Qualitative Acceptability Study.JMIR rehabilitation and assistive technologies · 2025Article
- Gait Parameters Can Be Derived Reliably and Validly from Augmented Reality Glasses in People with Parkinson's Disease Performing 10-m Walk Tests at Comfortable and Fast Speeds.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Physiotherapy in the clinic is highly recommended for improving gait, balance, and fall risk in people with Parkinson's disease. In addition, technology may help boost unsupervised exercise hours at home. Strolll is an augmented-reality (AR) neurorehabilitation platform for delivering gait-and-balance exercises onto AR glasses that can be performed under direct supervision of the therapist in the clinic, but also independently at home. Strolll AR also has the option to integrate AR cueing in gait-and-balance exercises to assist people with more severe mobility impairments in performing the exercises. The objective of this pragmatic randomized controlled trial (RCT) on Strolll AR is to examine its clinical feasibility and effectiveness for improving indicators of gait, balance, and falls risk. A secondary objective is to evaluate procedures for tailoring assistive AR cues. Methods: A total of 100 people with Parkinson's disease (Hoehn and Yahr stages 1-3) with gait and/or balance impairments will participate in this study. This study is a pragmatic RCT in which all participants follow the same procedure. After a baseline assessment (T0), participants will start with a 6-week usual care control period, followed by a midterm assessment (T1). Subsequently, participants will undergo 2 weeks of in-clinic familiarization with Strolll AR. Then, participants will start with the 6-week Strolll AR intervention at home, followed by a final in-clinic assessment (T2). The primary study parameters are feasibility (i.e., safety, adherence, performance, and user experience) and effectiveness for improving indicators of gait, balance, and falls risk. For the statistical analyses on effectiveness, participants will be allocated to control (using T0-T1 change data) or intervention (using T1-T2 change data) groups using multiple ( Discussion: The design of this particular pragmatic RCT will demonstrate feasibility and effectiveness in a real-world setting and in a representative population. Strolll AR may facilitate the transition from supervised care in the clinic to independent care at home, providing a platform for delivering individualized treatment, assisted with AR cues when deemed beneficial, for improving gait, balance, and falls risk in people with Parkinson's disease. Clinical trial registration: https://clinicaltrials.gov/, identifier NCT06590987.
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