NCT04661891

Brief Summary

The purpose of this study is to develop a real-time controller for exoskeletons using neural information embedded in human musculature. This controller will consist of an online interface that anticipates human movement based on high-density electromyography (HD-EMG) recordings, and then translates it into functional assistance. This study will be carried out in both healthy participants and participants post-stroke. The researchers will develop an online algorithm (decoder) in currently existing exoskeletons that can extract hundreds of motor unit (MU) spiking activity out of HD-EMG recordings. The MU spiking activity is a train of action potentials coded by its timing of occurrence that gives access to a representative part of the neural code of human movement. The researchers will also develop a command encoder that can anticipate human intent (multi-joint position and force commands) from MU spiking activity to translate the neural information to movement. The researchers will integrate the decoder with the command encoder to showcase the real-time control of multiple joint lower-limb exoskeletons.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
80

participants targeted

Target at P50-P75 for not_applicable stroke

Timeline
Completed

Started May 2021

Longer than P75 for not_applicable stroke

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 10, 2020

Completed
1 month until next milestone

First Posted

Study publicly available on registry

December 10, 2020

Completed
5 months until next milestone

Study Start

First participant enrolled

May 5, 2021

Completed
4.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2025

Completed
Last Updated

May 25, 2025

Status Verified

May 1, 2025

Enrollment Period

4.6 years

First QC Date

November 10, 2020

Last Update Submit

May 21, 2025

Conditions

Keywords

High density electromyographyReal-time controlExoskeletonStrokeGaitWalking

Outcome Measures

Primary Outcomes (11)

  • Change in stride variability

    Stride variability is the ratio between the standard-deviation and mean of stride time, expressed as percentage. Decreased variability indicates a better outcome.

    For Experiment B, change in stride variability at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in cadence

    Cadence is the total number of steps taken within a given time period; often expressed per minute. Typically a higher number of steps is a better outcome.

    For Experiment B, change in cadence at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in step length

    Step length is the distance between the point of initial contact of one foot and the point of initial contact of the opposite foot. Typically a longer step length is a better outcome, ideally with equal measurements between left and right limbs.

    For Experiment B, change in step length at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in stride length

    Stride length is the distance between successive points of initial contact of the same foot. Right and left stride lengths are normally equal. Typically a longer stride length is a better outcome, ideally with equal measurements between left and right limbs.

    For Experiment B, change in stride length at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in stance time

    Stance time is the amount of time that passes during the stance phase of one extremity in a gait cycle. It includes single support and double support. Equal stance time between limbs is a better outcome.

    For Experiment B, change in stance time at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in bilateral joint torque at the ankle, knee, and hip

    Joint torque is the sum of passive and active torques of the human limb. Passive torques are produced by tension developed as muscle tissue, tendons, and ligaments are stretched. Active torque is the torque produced by the muscles. Typically lower joint torque during movement is a better outcome.

    For Experiment B, change in joint torque at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in impedance levels between exoskeleton and participant

    The researchers will compare the impedance (interactive force generated between the exoskeleton and participant) at bilateral hip, knee and ankle levels with and without real-time control assistance from the exoskeleton. Typically, a lower impedance is a better outcome as the movement of the exoskeleton and human is more synchronized.

    For Experiment B, change in impedance levels at baseline and with assistive robot through participant completion, an average of 3 months.

  • Change in 10WMT

    The 10 Meter Walk Test (10MWT) is a common clinical measure of gait speed. Participants will be directed to walk at their comfortable, self-selected speed. Participants will be positioned at the start line and instructed to walk the entire 10 meter distance while the therapist times the middle six meters. The distance before and after the timed course are meant to minimize the effect of acceleration and deceleration. Time will be recorded using a stopwatch and recorded to the one hundredth of a second (ex: 2.46 sec). The test will be performed two times at self-selected speed with adequate rest in between. The average of the two times should be recorded. The test will then be repeated with the participants directed to walk at their fast but safe speed. Appropriate assistive devices, bracing, and the minimal amount of physical assistance from the physical therapist will be applied.

    For Experiment B, change between baseline and through participant completion, an average of 3 months.

  • Change in 6MWT

    The 6 Minute Walk Test (6MWT) measures the distance a participant can walk indoors on a flat, hard surface in a period of six minutes. The test is a reliable and valid evaluation of functional exercise capacity and is used as a sub-maximal test of aerobic capacity and endurance. The test is self-paced. Participants are allowed to stop and rest during the test; however, the timer does not stop. If a participant is unable to complete the time, the time stopped is noted and reason for stopping prematurely is recorded. Appropriate assistive devices, bracing, and the minimal amount of physical assistance from the physical therapist will be applied.

    For Experiment B, change between baseline and through participant completion, an average of 3 months.

  • Change in Berg Balance Scale

    The Berg Balance Scale (BBS) is a 14-item test, scored on a five point ordinal scale. It measures functional balance in a clinical setting and includes static and dynamic tasks (such as sitting, standing, transitioning from sitting to standing, standing on one foot, retrieving an object from the floor), during which participants must maintain their balance.

    For Experiment B, change between baseline and through participant completion, an average of 3 months.

  • Change in FGA

    The Functional Gait Assessment (FGA) is a 10-item test, scored on a four point ordinal scale. A higher score indicates decreased fall risk. It measures dynamic balance and postural stability during walking tasks (such as fast walking, backward walking, stepping over an obstacle) in the clinical setting. Patients are allowed to use an assistive device for certain items.

    For Experiment B, change between baseline and through participant completion, an average of 3 months.

Study Arms (2)

Healthy Participants

EXPERIMENTAL

The investigators will look at muscle activity of healthy participants from eight lower limb muscles during functional tasks (e.g. single-joint movement, walking, squatting, cycling).

Other: Isometric contractionsOther: Isokinetic contractionsDevice: Dynamic contractionsDevice: Isometric contraction with muscle fatigueDevice: Multi-joint functional activities while wearing exoskeleton

Clinical Participants

EXPERIMENTAL

The investigators will look at muscle activity of participants post-stroke from eight lower limb muscles during functional tasks (e.g. single-joint movement, walking, squatting, cycling).

Other: Isometric contractionsOther: Isokinetic contractionsDevice: Dynamic contractionsDevice: Multi-joint functional activities while wearing exoskeletonOther: Clinical Assessments

Interventions

HD-EMG grids will be applied to the lower limb muscles of interest. Isometric contractions will consist of applying joint torque to reach a pre-defined torque level based on the subject's maximal voluntary contraction (i.e., 25%, 60%, 70%, 80%, 90%). The participant will control torque intensity by responding to a biofeedback displayed on a screen. The joint will be secured with non-compliant bands to prevent any movement of the participant. The order of the joints tested (i.e., dominant ankle, knee, or hip joint) will be randomized.

Clinical ParticipantsHealthy Participants

HD-EMG grids will be applied to the lower limb muscles of interest. Isometric contractions will consist of moving a joint to completing a set of contractions (10-20 contractions) at various velocities (i.e., 10 degrees per second, 30 degrees per second, 60 degrees per second). The joint will be secured with non-compliant bands to prevent any movement of the participant. The order of the joints tested (i.e., dominant ankle, knee, or hip joint) will be randomized.

Clinical ParticipantsHealthy Participants

HD-EMG grids will be applied to the lower limb muscles of interest. Multi-joint tasks (i.e. walking, squatting, cycling) will be performed at a given frequency. A motion capture system will be used to record the joint angles and ground reaction forces simultaneously.

Clinical ParticipantsHealthy Participants

An identical experiment will be performed as stated in "Isometric contraction" with the addition of induced muscle fatigue by repeatedly maintaining 40% of muscle torque until failure to maintain a contraction for 5 seconds.

Healthy Participants

Participants will be measured and fitted with the bilateral exoskeleton, and sufficient range of motion to used exoskeleton will be confirmed. HD-EMG grids will be applied to the lower limb muscles of interest. The participant will perform single-joint movements to calibrate the decoder parameters. The participant will then perform multi-joint activities (e.g., standing, squatting, walking overground or on a treadmill, cycling, or stair climbing) in a movement analysis laboratory

Clinical ParticipantsHealthy Participants

Subjects may complete a 10 meter walk test (10MWT) overground or over a pressure-sensitive walkway, 6 minute walk test (6MWT), Berg Balance scale (BBS), and/or Functional Gait Assessment (FGA). They may also complete step ups or squats.

Clinical Participants

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age from 18 to 80 years
  • No history of a brain and/or skull lesion
  • Normal hearing and vision, both can be corrected
  • Able to understand and give informed consent
  • No neurological disorders
  • Absence of pathology that could cause abnormal movements of extremities (e.g.,
  • epilepsy, stroke, marked arthritis, chronic pain, musculoskeletal injuries)
  • Able to understand and speak English
  • Height between 3 foot 6 inches (1.1 meters) and 6 foot 9 inches (2.1 meters)
  • Age from 18 to 80 years
  • History of unilateral, supratentorial, ischemic or hemorrhage stroke greater than 6 months
  • Ability to walk independently on level ground, allowed to use assistive device or bracing
  • as needed
  • Medically stable
  • No planned surgeries, medical treatments or outpatient therapy during the study period
  • +4 more criteria

You may not qualify if:

  • Weight over 220 lbs
  • Pregnancy (ruled out by pregnancy questionnaire)
  • Any neurological diagnoses or medications influencing brain function
  • History of significant head trauma (i.e., extended loss of consciousness, neurological
  • sequelae)
  • Known structural brain lesion
  • Significant other disease (heart disease, malignant tumors, mental disorders)
  • Non prescribed drug use (as reported by subject)
  • History of current substance abuse (exception: current nicotine use is allowed)
  • Recreational marijuana
  • Dementia; severe depression; or prior neurosurgical procedures
  • Failure to perform the behavioral or locomotor tasks
  • Prisoners
  • Weight over 220 lbs
  • Pregnancy (ruled out by pregnancy questionnaire)
  • +13 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Shirley Ryan AbilityLab

Chicago, Illinois, 60611, United States

Location

MeSH Terms

Conditions

Stroke

Interventions

Isometric Contraction

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular Diseases

Intervention Hierarchy (Ancestors)

Muscle ContractionMusculoskeletal Physiological PhenomenaMusculoskeletal and Neural Physiological Phenomena

Study Officials

  • Jose L Pons, Ph.D

    Shirley Ryan AbilityLab

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
PARALLEL
Model Details: The purpose of this study is to develop a real-time controller for exoskeletons using neural information embedded in human musculature. This controller will consist of an online interface that anticipates human movement based on high-density electromyography (HD-EMG) recordings, and then translates it into functional assistance. This study will be carried out in both healthy participants and participants post-stroke.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

November 10, 2020

First Posted

December 10, 2020

Study Start

May 5, 2021

Primary Completion

December 1, 2025

Study Completion

December 1, 2025

Last Updated

May 25, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

Locations