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Digital Outcome Assessment Using AI Active Gaming and Motion Capture in Friedreich Ataxia (STEP-OUT FA)

2026年7月22日 更新者：University of Exeter

Fusion of Therapeutic AI Active Gaming With Motion Capture to Create a Novel Digital Clinical Outcome Assessment (dCOA) in Friedreich Ataxia

Friedreich ataxia (FA) is a rare, inherited condition that progressively affects balance, coordination, and walking. Clinical trials of new FA treatments rely largely on standard clinical rating scales, but these can be tiring for patients, feel disconnected from everyday life, and may not detect small but meaningful changes over time. More objective, sensitive, and patient-relevant ways of measuring movement are needed.

This study is developing and testing a new digital way of measuring movement in FA. Participants play short, movement-based computer games on a laptop while a single camera and artificial-intelligence (AI) software track how they move. The proposition is that the way a person plays these games - their speed, accuracy, and movement quality - can provide objective, meaningful measurements of motor function. In the laboratory, these game-based measurements are compared against a "gold-standard" full-body motion-capture system and against established clinical scales to check how accurate and meaningful they are.

The study involves both people with Friedreich ataxia (across a range of disease severity) and healthy volunteers. People with FA also take part in a 12-week home phase, playing the games at home each month with remote support, so the researchers can examine whether the digital measurements are reliable when repeated and whether they can detect change over time.

The study asks whether these digital, game-based movement measurements are reliable, valid, and sensitive enough to be used as a "fit-for-purpose" digital clinical outcome assessment (dCOA) in future FA clinical trials, and whether patients find the platform acceptable, usable, and relevant to daily life. This is an early-stage feasibility and validation study designed to establish proof of concept rather than to test the effectiveness of a treatment.

研究概览

地位

尚未招聘

条件

干预/治疗

详细说明

Design and rationale STEP-OUT FA is an observational, prospective cohort study (STROBE-compliant) developing and validating a digital clinical outcome assessment (dCOA) for Friedreich ataxia. It addresses a well-documented limitation in FA therapeutic development: existing semi-quantitative clinical outcome assessments are affected by floor and ceiling effects, limited responsiveness across disease stages, and poor patient-perceived relevance, which have contributed to repeated failures of drug trials to meet primary endpoints. The study evaluates whether motor-performance metrics captured during gamified, semi-immersive virtual-reality (VR) tasks, combined with markerless AI motion analysis, can serve as reliable, valid, and responsive outcome measures.

Measurement platform The platform is delivered through a standard laptop and integrates three components: (1) FA-adaptable VR gamified tasks (e.g., ball catching, target reaching) with adjustable difficulty; (2) automated extraction of gaming-performance metrics; and (3) a single-camera, patented AI-driven markerless motion-capture system for 3D pose reconstruction (DigiTherapix Ltd), used to derive biomechanical/kinematic metrics. The gaming environment is provided via the MoveHero platform (University of São Paulo).

Laboratory validation (healthy controls and FA participants) Validation is conducted at the University of Exeter VSimulator facility against a gold-standard, marker-based full-body motion-capture reference. During a single laboratory visit (~2 hours), participants complete a familiarisation period followed by a ~20-minute session of four movement-based gaming tasks. Concurrent signals are recorded throughout: full-body optical motion capture (reflective markers on shoulders, elbows, knees, ankles, forehead), continuous heart-rate variability via a Delsys ECG sensor (baseline, task, recovery), and functional near-infrared spectroscopy (fNIRS) over the forehead to index cortical activation. Perceived exertion and fatigue (Borg RPE and Borg VAS Fatigue) are collected after each task, and a short semi-structured interview captures usability and acceptability feedback (audio-recorded for later transcription). FA participants additionally complete clinical characterisation at baseline.

Home-based longitudinal phase (FA participants only) To evaluate test-retest reliability and responsiveness, FA participants enter a 12-week home phase with monthly self-administered or remotely supported gaming sessions (~20-30 minutes) at Weeks 4, 8, and 12, each accompanied by a brief telehealth check-in with a physiotherapist to confirm continued consent, provide support, and monitor adverse events. Data are captured automatically and remotely. A remote follow-up assessment at Week 12 repeats clinical and patient-reported measures and includes a short interview.

Analytic approach Concurrent validity is assessed via correlations between digital metrics and established clinical scales; reliability via intraclass correlation coefficients across repeated sessions; and responsiveness via within-subject change and effect sizes, with longitudinal mixed-effects modelling of dCOA trajectories across the home-phase time points. Analyses characterise which individual or composite metrics (gaming-derived versus biomechanical) show optimal measurement properties and best discriminate disease severity. As an exploratory feasibility and validation study establishing proof of concept and psychometric properties, no formal power calculation was performed; the sample size was justified on precision for reliability estimation and on precedent from rare-disease dCOA validation studies.

Collaborators and data governance The AI motion-analysis platform is provided by DigiTherapix Ltd (UK) and the gaming platform by the University of São Paulo (Brazil); formal sub-contractor and data-sharing agreements govern intellectual property and data governance. No personally identifiable participant data are transferred outside the UK. Oxford University Hospitals acts as a Participant Identification Centre only.

研究类型

观察性的

注册 (估计的)

40

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习联系方式

研究联系人备份

学习地点

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人

接受健康志愿者

是的

取样方法

非概率样本

研究人群

Study participants with FA spanning a range of disease severity and functional mobility, recruited across England, together with healthy volunteers of the same age range serving as a comparison group.

描述

Friedreich ataxia group:

  • Aged 12 to 50 years
  • Genetically confirmed Friedreich ataxia
  • Able to sit or stand independently for 5 minutes
  • Able to provide informed consent (or assent with parental consent if under 16 years)
  • Stable medication regimen (no changes in the past 4 weeks)

Healthy control group:

  • Aged 12 to 50 years
  • No history of genetically confirmed Friedreich ataxia
  • Able to sit or stand independently for 5 minutes
  • Able to provide informed consent (or assent with parental consent if under 16 years)

Exclusion Criteria:

  • Friedreich ataxia group:
  • Aged 11 years or younger, or 51 years or older
  • Severe cognitive impairment precluding task comprehension
  • Active seizure disorder, or vestibular dysfunction causing nausea with non-immersive VR
  • Currently participating in an interventional clinical trial
  • No reliable internet connection (where a digital inclusion pack cannot resolve this)
  • Any reason precluding safe participation in moderate-intensity exercise.

Healthy control group:

  • Aged 11 years or younger, or 51 years or older
  • Genetically confirmed Friedreich ataxia
  • Any reason precluding safe participation in moderate-intensity exercise.

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

队列和干预

团体/队列
干预/治疗
Friedreich Ataxia
Participants aged 12-50 with genetically confirmed FA (homozygous GAA expansion or compound heterozygous FXN mutations). Complete the laboratory validation session and a 12-week home-based phase with monthly gaming sessions.
设备：Laboratory validation session (VSimulator)
Single laboratory visit at the University of Exeter VSimulator in which VR active gaming tasks and single-camera AI-driven markerless motion analysis are performed concurrently with gold-standard marker-based full-body motion capture, functional near-infrared spectroscopy (fNIRS), and continuous heart-rate variability (Delsys ECG sensor). Performed once.
设备：Home-based active gaming assessment
Monthly home-based sessions (Weeks 4, 8, 12) in which participants perform the VR active gaming tasks with concurrent single-camera AI-driven markerless motion analysis via a loaned laptop, with automated remote data capture. No marker-based motion capture, fNIRS, or ECG.
Healthy Controls
Participants aged 12-50 without FA, providing reference data for validation. Complete the laboratory validation session only.
设备：Laboratory validation session (VSimulator)
Single laboratory visit at the University of Exeter VSimulator in which VR active gaming tasks and single-camera AI-driven markerless motion analysis are performed concurrently with gold-standard marker-based full-body motion capture, functional near-infrared spectroscopy (fNIRS), and continuous heart-rate variability (Delsys ECG sensor). Performed once.

研究衡量的是什么？

主要结果指标

结果测量
措施说明
大体时间
Concurrent validity of game-based movement performance against the mFARS - Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Spearman correlation coefficient (ρ; unitless) between game-based movement accuracy (Absolute Error), precision (Variable Error), reaction time, movement time and the modified Friedreich's Ataxia Rating Scale (mFARS) total score (range 0-93; higher = greater neurological impairment), in the Friedreich ataxia cohort.
Baseline laboratory visit (Week 0)
Criterion validity of AI markerless motion capture versus marker-based motion capture - Healthy Controls and Friedreich Ataxia
大体时间：Baseline laboratory visit (Week 0)
Agreement for upper and lower body angular velocity, joint angles and functional range of motion measured concurrently by the single-camera AI markerless system and the gold-standard marker-based motion-capture system.
Baseline laboratory visit (Week 0)
Comparison of the digital COA metrics between healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Use of VR game-derived digital metrics (reaction time, movement time, movement accuracy and precision, and AI-derived kinematic metrics such as angular velocity, joint angles and Functional Range of Motion) to compare healthy control and Friedreich ataxia cohort.
Baseline laboratory visit (Week 0)
Responsiveness of digital COA metrics over time
大体时间：Weeks 0, 4, 8, and 12
Within-subject change scores and effect sizes for digital metrics, analysed with longitudinal mixed-effects modelling of dCOA trajectories across the home-based phase.
Weeks 0, 4, 8, and 12
Patient Global Impression of Change (PGIC)
大体时间：Week 12
Patient Global Impression of Change, 7-point ordinal scale (1 = very much improved to 7 = very much worse; higher = greater perceived worsening), in the FA cohort.
Week 12
Platform acceptability and usability
大体时间：Weeks 0, 4, 8, and 12
System Usability Scale (SUS) total score (range 0-100; higher = better usability; ≥70 acceptable, ≥80 excellent).
Weeks 0, 4, 8, and 12

次要结果测量

结果测量
措施说明
大体时间
Cortical activation during gaming tasks (fNIRS) - healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Changes in cortical haemodynamic response (oxygenated and deoxygenated haemoglobin) measured by functional near-infrared spectroscopy during the gaming session.
Baseline laboratory visit (Week 0)
Autonomic response during gaming tasks (heart-rate variability) - healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Heart-rate variability indices derived from continuous ECG recording (Delsys sensor) at baseline, during, and after the gaming session.
Baseline laboratory visit (Week 0)
Perceived exertion (Borg CR10) - healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Borg Rating of Perceived Exertion score (range 1-10; higher = greater exertion) after each gaming task.
Baseline laboratory visit (Week 0)
Fatigue (Borg VAS Fatigue) - healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Visual Analogue Scale (VAS) for fatigue (range 0-10; higher = greater fatigue) after each gaming task.
Baseline laboratory visit (Week 0)
9-Hole Peg Test completion time - healthy control and Friedreich ataxia cohort.
大体时间：Baseline laboratory visit (Week 0)
Time to complete the 9-Hole Peg Test (9HPT), measured in seconds (higher = worse manual dexterity; no fixed maximum), averaged across the dominant and non-dominant hands, in the Friedreich ataxia cohort.
Baseline laboratory visit (Week 0)
Gait quality: proportion of good steps (Heel2Toe sensor)
大体时间：Baseline laboratory visit (Week 0)
Proportion of "good steps" - steps in which the heel strikes first, detected by the Heel2Toe wearable sensor from ankle sagittal-plane angular velocity, expressed as a percentage of total steps taken during a standardised walking task (range 0-100%; higher = better gait quality), in the Friedreich ataxia cohort.
Baseline laboratory visit (Week 0)

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

University of Exeter

合作者

University of Oxford

调查人员

  • 首席研究员：Helen Dawes、University of Exeter
  • 研究主任：Andrea Nemeth、University of Oxford

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (估计的)

2026年7月30日

初级完成 (估计的)

2026年12月31日

研究完成 (估计的)

2026年12月31日

研究注册日期

首次提交

2026年7月17日

首先提交符合 QC 标准的

2026年7月22日

首次发布 (实际的)

2026年7月28日

研究记录更新

最后更新发布 (实际的)

2026年7月28日

上次提交的符合 QC 标准的更新

2026年7月22日

最后验证

2026年7月1日

更多信息

与本研究相关的术语

关键字

其他相关的 MeSH 术语

其他研究编号

  • STEP-OUT-FA-364818
  • RMC 25-04 (其他赠款/资助编号：FA Alliance Innovation Fund)
  • 364818 (注册表标识符：IRAS Number)
  • 25-26-27 (其他标识符：University of Exeter Sponsor Number)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)？

不

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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