This Study Evaluates the Use of a Data-driven Lower Limb Exoskeleton Controller for Stroke Rehabilitation.
2026年5月27日 更新者：Robert D Gregg、University of Michigan
From Stroke Rehabilitation to Independence: An Impairment-Aware Control Framework for Adaptive Exoskeleton Assistance
The goal of this clinical trial is to test a new, impairment-aware robotic control software framework to see if its smart adaptation can improve walking recovery in healthy adults and chronic stroke survivors. .
The main questions it aims to answer are:
Can the new control software safely use sensors and machine learning to predict and instantly adapt to a user's specific walking needs?
Does training with a robotic device driven by this new adaptive control framework improve walking speed and overall mobility in stroke survivors?
Researchers will compare a lower-limb orthosis operating under the new "smart" control software (which adapts to the user's impairment) to the same device operating under a standard, non-adaptive controller (which uses rigid or fixed assistance) to see if the new control approach leads to greater improvements in walking ability.
Participants will:
Walk on treadmills, flat walkways, or stairs while wearing a robotic leg orthosis driven by the different control software systems being tested.
Wear small tracking tools (like reflective motion-capture markers and muscle activity sensors) so researchers can precisely measure how their movements interact with each control program.
Complete standard walking tests to measure their walking speed and overall mobility under each software condition.
研究概览
地位
尚未招聘
条件
研究类型
介入性
注册 (估计的)
20
阶段
- 不适用
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。
学习地点
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Michigan
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Ann Arbor、Michigan、美国、48109
- Rehabilitation Laboratory in the Ford Robotics Building on the University of Michigan North Campus
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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
- 成人
- 年长者
接受健康志愿者
是的
描述
Inclusion Criteria:
- Cohort 1: Able-Bodied Participants (Initial Validation)
- Healthy young adults.
- No history of neurological, orthopedic, or cardiovascular impairments affecting gait or balance.
- Able to walk independently without assistive devices.
Cohort 2: Stroke Survivors (Clinical Efficacy Pilot)
- Individuals with a documented history of chronic stroke.
- Persistent unilateral lower-limb motor impairment resulting in a pathological gait pattern (heterogeneous gait deficits).
- Stable medical condition allowing for participation in intensive physical rehabilitation tasks.
- Able to provide informed consent.
Exclusion Criteria:
- Severe cognitive or communication impairments that prevent the participant from following safety instructions or reporting discomfort.
- Co-existing neurological conditions (other than stroke) that independently impair locomotion (e.g., Parkinson's disease, Multiple Sclerosis).
- Severe lower-limb joint contractures or orthopedic conditions that mechanically restrict the safe range of motion of the robotic orthosis.
- Skin breakdowns, open wounds, or severe unhealed lesions at the contact points where the powered orthosis interfaces with the lower limbs.
- Any medical contraindication to intensive walking exercise or treadmill training (e.g., unstable angina, severe unmanaged cardiovascular disease).
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
- 主要用途：治疗
- 分配：随机化
- 介入模型：交叉作业
- 屏蔽：无（打开标签）
武器和干预
参与者组/臂 |
干预/治疗 |
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实验性的：Experimental Arm
Training with the new "unified control framework" (the smart, adaptive robotic exoskeleton).
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An AI-driven, machine learning-based control software integrated into a wearable lower-limb powered orthosis.
The system utilizes a Bayesian Neural Network (BNN) to analyze a user's pathological walking patterns (kinematics) in real-time via onboard sensors.
Based on this real-time performance, the device dynamically modulates its physical assistance along a seamless continuum.
It automatically transitions between stiff corrective guidance (position-based gait training) when the user struggles, and compliant, volitional torque support (torque-based assistance) as the user's independent walking ability improves.
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有源比较器：Active Comparator Arm
Training with a "conventional controller" (the standard robotic exoskeleton controller).
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A standard control paradigm for lower-limb powered orthoses that provides non-adaptive physical assistance during gait training.
Depending on the trial block, the device operates in one of two static modalities: either rigid position-based gait training (GT) that physically guides the patient's limbs through a fixed, predetermined trajectory regardless of effort, or torque-based volitional augmentation (VA) that proportionally amplifies existing muscle output or ground reaction forces.
Unlike the experimental intervention, this controller cannot interpret kinematics in real-time or dynamically modulate assistance along a continuous spectrum based on the user's instantaneous performance.
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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 |
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Walking Speed
大体时间：Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).
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A standardized clinical assessment used to determine short-distance walking speed over a 10-meter course.
This metric evaluates the preliminary clinical efficacy of the unified control framework compared to the conventional controller in chronic stroke survivors.
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Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).
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Functional Mobility and Balance
大体时间：Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).
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A clinical performance-based measure used to assess dynamic balance, turning agility, and functional mobility.
The test measures the time (in seconds) taken for a participant to rise from a chair, walk 3 meters, turn around, walk back, and sit down.
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Baseline (Week 0), Post-Intervention Phase 1 (Week 4), Post-Washout / Pre-Intervention Phase 2 (Week 8), and Post-Intervention Phase 2 (Week 12).
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Acute Within-Session Changes in Spatial Gait Symmetry
大体时间：Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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Gait symmetry evaluated using the step length symmetry index (SI), calculated from lower-limb kinematics recorded by the exoskeleton's onboard joint encoders and/or motion capture data.
This metric evaluates the immediate corrective effects on walking patterns.
An SI of 0% represents perfect symmetry.
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Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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Acute Within-Session Changes in Ground Reaction Force Symmetry
大体时间：Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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Force symmetry evaluated using the peak vertical ground reaction force ratio between the paretic and non-paretic limbs, measured via the exoskeleton's instrumented insoles and/or force plates.
This evaluates the immediate impact of the control framework on weight-bearing symmetry.
Data are expressed as a dimensionless ratio, where a value of 1.0 indicates perfect symmetry between limbs.
Force is measured in units of Newtons.
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Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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Acute Within-Session Changes in Joint Range of Motion
大体时间：Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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Measurement of the peak angular displacement of the knee, hip and ankle joints (in degrees) during the sagittal plane gait cycle, captured by the exoskeleton's onboard joint encoders and/or a motion capture system.
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Baseline (Week 0) and weekly during the 12 training sessions across each 4-week intervention period.
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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。
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10月1日
初级完成 (估计的)
2027年12月31日
研究完成 (估计的)
2027年12月31日
研究注册日期
首次提交
2026年5月19日
首先提交符合 QC 标准的
2026年5月27日
首次发布 (实际的)
2026年6月1日
研究记录更新
最后更新发布 (实际的)
2026年6月1日
上次提交的符合 QC 标准的更新
2026年5月27日
最后验证
2026年5月1日
更多信息
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