Tracking Post-stroke Walking Improvements From the Clinic Into the Home

June 26, 2026 updated by: Kendra Cherry-Allen, Western University of Health Sciences
The purpose of this proposal is to use novel video-based movement tracking technology to measure gait quality after stroke - in the home. Current rehabilitation practice assesses walking in the highly controlled 'ideal' clinical environment. The implicit assumption by clinicians and researchers is that the way people walk in the clinic (their best capacity) reflects the way they walk in the real-world (true performance). With advances in computer vision and development of pose estimation algorithms, it is now possible to directly measure how people are walking in their homes. It is critical that researchers apply this technology to examine the basic assumptions that underlie current rehabilitation practice. Here, a video-based pose estimation workflow will be used to 1) contrast the gait patterns of persons post-stroke as observed in-clinical vs. in-home settings, and 2) map the rate of deterioration of clinically-derived walking improvements, in the home. This methodology has been used to accurately measure gait kinematics in people with stroke as they walk in laboratory, however this study now seeks to use these methods to record people with stroke as they walk in their natural home environments. The ultimate outcome of this project will not only be freely-available video-based workflow modified for home-based gait assessments, but also preliminary data revealing how people with stroke walk in the real world.

Study Overview

Status

Completed

Conditions

Detailed Description

Aim 1 Establish the relationship between walking capacity and walking performance in people with chronic stroke. The first critical step toward improving in-home walking performance after stroke is to uncover how differently people walk in the standard clinic environment vs. in their home. For each individual, the investigators will obtain video recordings of 6 minutes of walking in both clinic and home environments. The investigators will then use pose estimation algorithms to quantify three key features of gait- step length asymmetry, step time asymmetry, and gait speed. The investigators hypothesize that walking capacity measured in the clinic will be superior to walking performance measured in the home for each of the three metrics.

Aim 2 Quantify the magnitude and durability of clinic-derived walking improvements in the home. Current clinical practice is predicated on the belief that changes in walking capacity elicited through rehabilitation transfer to improvements in walking performance in the home. Here, the investigators will directly test this assumption. The same group of participants with stroke from Aim 1 will receive a single session of locomotor adaptation training - an established intervention shown to rapidly improve over ground step length symmetry - in the laboratory. Participants will then record videos as they perform in-home walking trials with instructions to continue to walk with their improved gait patterns at four timepoints (same day, next day, three-day, and one-week post-training). The investigators hypothesize that the improvement in step length symmetry in the home will be half of what is observed in the clinic on the same day and decay to zero by the next day.

Study Design Participants will complete a total of 5 data collection sessions (Figure 1). Day 1 will involve a standardized neurological clinical examination, a video recording of walking in the clinic (e.g. baseline capacity assessment), and a video recording of walking in the home (e.g. baseline performance assessment). Day 2 involves a single 30-minute training session in our laboratory during which the participant engages in an established protocol known to reduce step length asymmetry. They will also record a video of in-home walking (same-day transfer assessment) within an hour of completing the step symmetry training. On Days 3, 5, and 9, the participant will submit video recordings of their in-home walking.

Participants Investigators will recruit a single cohort of 20 people with post-stroke step length asymmetry ≥ 4 cm. Data gathered here will serve as necessary preliminary data for larger studies investigating factors that influence in-home walking performance and for studies testing interventions aimed at improving in-home walking.

Video Recording For assessments of walking capacity, the investigators will record videos (~30 Hz) of sagittal and frontal views of participants as they walk overground on a level tile surface in a well-lit and distraction-free clinical setting. For assessments of walking performance, participants or members of their household will use a single stationary tablet or smart phone sampling at 30 Hz to record the participant as they walk in their homes (this will ideally be a sagittal recording, but can be frontal if space is limited - the investigators have pose estimation analysis workflows capable of measuring step lengths from both views). For a given transfer recording, participants will perform five walking trials at their preferred walking speeds.

Pose Estimation The investigators have developed pose estimation workflows for human gait analysis using the freely available pose estimation algorithm OpenPose. These workflows can provide accurate estimates of many spatiotemporal and kinematic gait parameters from both sagittal and frontal viewpoints and have been validated against ground-truth three-dimensional motion capture measurements for adults with and without stroke. These validation steps have also been performed for both overground and treadmill walking.

Study Type

Interventional

Enrollment (Actual)

53

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Oregon
      • Lebanon, Oregon, United States, 97355
        • Western University of Health Sciences

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

21 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria (participants with stroke only):

  • stroke >6 months prior
  • hemiparetic gait pattern with step length difference of 2cm or greater
  • able to ambulate whiteout physical assistance from another person (use of an assistive device are acceptable), gait speed >/= 0.2m/s
  • normal or corrected-to-normal vision

Exclusion Criteria (all participants):

  • neurological condition other than stroke
  • aphasia limiting comprehension of task instructions pregnancy
  • uncontrolled hypertension (> 150/90 mmHg at rest)
  • dementia, cognitive impairments, or psychiatric disorders limiting the ability to provide informed consent
  • epilepsy
  • orthopedic or pain conditions limiting walking
  • concurrent engagement in physical therapy or other research study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Non-Randomized
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Individuals with Stroke
Individuals with stroke who meet inclusion and exclusion criteria were included in Aim 1 and Aim 2 of the study. In aim 1, they engaged in a standard neurological screen and participated in clinic- and home-based walking trials. In Aim 2, they underwent a single session of step length symmetry training and submitted a series of home walking videos to track how durable improvements were from the clinic to home.
For aim 2, participants with stroke engaged in five, two-minute periods of step symmetry training during session 2. This training uses established sensorimotor adaptation-based methods (e.g. split-belt treadmill walking, walking with unilateral leg weighting) to elicit motor aftereffects of more equal step lengths. Two minute sitting rest breaks will be given between training blocks or at the participant's request. A video recording will be taken of the first and final period of training.
No Intervention: Neurologically Intact Adults
Healthy Adults/Adults without Stroke participated in Aim 1, but not Aim 2 of the study. They underwent the same screening and neurological assessment as participants with stroke and performed clinic-based and home-based walking trials. They did not receive intervention.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Step Length Asymmetry
Time Frame: In-clinic baseline (day 1), in-home baseline (day 1)

The normalized difference between short step length and long step length; a spatial parameter absolute value of (left step length - right step length) / left step length + right step length

Will be compared across timepoints.

In-clinic baseline (day 1), in-home baseline (day 1)
Step Time Symmetry
Time Frame: In-clinic baseline (day 1), in-home baseline (day 1)

The normalized difference between short step time and long step time; a temporal parameter (absolute value(left step time- right step time))/(left step time + right step time)

Will be compared across timepoints.

In-clinic baseline (day 1), in-home baseline (day 1)
Self Selected Gait Speed
Time Frame: In-clinic baseline (day 1), in-home baseline (day 1)

The speed at which a participant is walking (meters/second)

Will be compared across timepoints.

In-clinic baseline (day 1), in-home baseline (day 1)
Step Length Asymmetry (Transfer)
Time Frame: Aim 2: clinic before training, clinic after training, same day transfer, 1-day transfer, 3-day transfer, 1-week transfer
The normalized difference between short step length and long step length; a spatial parameter absolute value of (left step length - right step length) / left step length + right step length
Aim 2: clinic before training, clinic after training, same day transfer, 1-day transfer, 3-day transfer, 1-week transfer

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Depression Via PHQ-9
Time Frame: Measured once, during the first session which takes place on a single day.

Depression will be assessed with the Patient Health Questionnaire (PHQ-9). This is a multipurpose self-report instrument for screening, diagnosing, monitoring and measuring the severity of depression. Each of 9 items are scored from 0 (not at all) - 3 (nearly every day).

Total scores are reported. Total scores range from 0-27. Higher scores represent more severe depression. Total scores of 5, 10, 15, and 20 represent cut points for mild, moderate, moderately severe and severe depression, respectively.

Measured once, during the first session which takes place on a single day.
Berg Balance Scale
Time Frame: Measured once, during the first session which takes place on a single day.

The Berg Balance Scale is a 14-item objective measure that assesses static balance and fall risk in adults.

Scores range from 0-56 with higher scores representing better balance (better outcomes).

Total scores are reported. Scores from 0 to 20 represent a high fall risk; scores 21 to 40 represent a medium fall risk; scores 41-56 represent a low fall risk.

Measured once, during the first session which takes place on a single day.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Kendra Cherry-Allen, PhD, PT, DPT, Western University of Health Sciences

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 25, 2022

Primary Completion (Actual)

March 9, 2025

Study Completion (Actual)

March 9, 2025

Study Registration Dates

First Submitted

June 21, 2022

First Submitted That Met QC Criteria

July 6, 2022

First Posted (Actual)

July 12, 2022

Study Record Updates

Last Update Posted (Actual)

July 24, 2026

Last Update Submitted That Met QC Criteria

June 26, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

De-identified data will be curated and deposited to appropriate public repositories whenever applicable. All behavioral data will be made available per reasonable request to the PI and all software will be made available on our GitHub archive.

IPD Sharing Time Frame

Software will be posted to GitHub repository upon the conclusion of the study and will remain open access and freely available indefinitely.

IPD Sharing Access Criteria

De-identified data will be curated and deposited to appropriate public repositories whenever applicable. All behavioral data will be made available per reasonable request to the PI and all software will be made available on our GitHub archive.

IPD Sharing Supporting Information Type

  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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