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.
調査の概要
状態
まだ募集していません
条件
研究の種類
介入
入学 (推定)
20
段階
- 適用できない
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究場所
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Michigan
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Ann Arbor、Michigan、アメリカ、48109
- Rehabilitation Laboratory in the Ford Robotics Building on the University of Michigan North Campus
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参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
はい
説明
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).
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：処理
- 割り当て：ランダム化
- 介入モデル：クロスオーバー割り当て
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
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実験的：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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アクティブコンパレータ：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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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Walking Speed
時間枠：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
時間枠：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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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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Acute Within-Session Changes in Spatial Gait Symmetry
時間枠：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
時間枠：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
時間枠：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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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (推定)
2026年10月1日
一次修了 (推定)
2027年12月31日
研究の完了 (推定)
2027年12月31日
試験登録日
最初に提出
2026年5月19日
QC基準を満たした最初の提出物
2026年5月27日
最初の投稿 (実際)
2026年6月1日
学習記録の更新
投稿された最後の更新 (実際)
2026年6月1日
QC基準を満たした最後の更新が送信されました
2026年5月27日
最終確認日
2026年5月1日
詳しくは
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