This Study Evaluates the Use of a Data-driven Lower Limb Exoskeleton Controller for Stroke Rehabilitation.
2026년 5월 27일 업데이트: 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.
연구 개요
상태
아직 모집하지 않음
정황
연구 유형
중재적
등록 (추정된)
20
단계
- 해당 없음
연락처 및 위치
이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.
연구 장소
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Michigan
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Ann Arbor, Michigan, 미국, 48109
- Rehabilitation Laboratory in the Ford Robotics Building on the University of Michigan North Campus
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참여기준
연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.
자격 기준
공부할 수 있는 나이
- 성인
- 고령자
건강한 자원 봉사자를 받아들입니다
예
설명
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).
공부 계획
이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 치료
- 할당: 무작위
- 중재 모델: 크로스오버 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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실험적: 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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활성 비교기: 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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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Walking Speed
기간: 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
기간: 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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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
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Acute Within-Session Changes in Spatial Gait Symmetry
기간: 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
기간: 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
기간: 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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공동 작업자 및 조사자
여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.
연구 기록 날짜
이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.
연구 주요 날짜
연구 시작 (추정된)
2026년 10월 1일
기본 완료 (추정된)
2027년 12월 31일
연구 완료 (추정된)
2027년 12월 31일
연구 등록 날짜
최초 제출
2026년 5월 19일
QC 기준을 충족하는 최초 제출
2026년 5월 27일
처음 게시됨 (실제)
2026년 6월 1일
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
2026년 6월 1일
QC 기준을 충족하는 마지막 업데이트 제출
2026년 5월 27일
마지막으로 확인됨
2026년 5월 1일
추가 정보
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