Gait Adaptation for Stroke Patients With Augmented Reality (GASPAR)
Primary Purpose
Stroke, Traumatic Brain Injury, Spinal Cord Injury
Status
Unknown status
Phase
Not Applicable
Locations
Switzerland
Study Type
Interventional
Intervention
Gait training with augmented reality
Standard training
Sponsored by
About this trial
This is an interventional treatment trial for Stroke focused on measuring Instrumented treadmill, Augmented reality, Neurorehabilitation, Gait disorders
Eligibility Criteria
Participants fulfilling all of the following inclusion criteria are eligible for the study:
- Informed Consent as documented by signature
- Stroke patients, patients with traumatic brain injury, or patients with spinal cord injury in the acute to sub-acute phase (maximum 40 days after the incident)
- Need for gait rehabilitation in reason of at least one of the following conditions: Paresis of the lower extremities. Severe balance disorders. No walking at entry due to the neurological injury
- Ability to walk 2 minutes without or with minimal aid, namely: With the help of one person, or: With walking aid (cane, walker)
The presence of any one of the following exclusion criteria will lead to exclusion of the participant:
- Age < 18 years
- Other clinically significant concomitant disease states (e.g., renal failure, hepatic dysfunction, cardiovascular disease, etc.) that may threaten the health in case of sustained exercise.
- Concomitant gait disorders induced by acute to sub-acute musculoskeletal injuries, e.g. fracture of the lower extremities.
- Severe pre-existent gait disorders that deeply affect walking abilities and gait pattern, either due to musculoskeletal (e.g. severe osteoarthritis) or neurological (e.g. Parkinson's disease) etiologies.
- Severe non-corrected visual impairment
- Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. of the participant.
Sites / Locations
- Clinique Romande de RéadaptationRecruiting
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Active Comparator
Arm Label
Augmented reality training
Standard training
Arm Description
Gait training with augmented reality
Gait training without augmented reality
Outcomes
Primary Outcome Measures
Change in walking speed
Walking speed, measured with the 2-minute walk test
Secondary Outcome Measures
Change in postural control
Capabilities to ensure an optimal postural control. Measured with the Berg Balance test
Fear of falling during the hospitalization
Subjective assessment of the fear of falling. Measured with the adapted Falls Efficacy Scale (FES)
Fear of falling at home
Subjective assessment of the fear of falling. Measured with the adapted Falls Efficacy Scale (FES)
Quality of life at home
Short-Form 36 questionnaire (SF-36)
Perception of the intervention
purpose-designed questionnaire that will ask to the participant about their perception of the intervention. The questionnaire will evaluate the satisfaction with intensity, duration and difficulty of the intervention. Other questions will ask about the perceived training effects on walking speed and confidence.
Changes in stride and step lengths
Measured with the embedded sensors of the treadmills
Changes in stride and step durations
Measured with the embedded sensors of the treadmills
Change in step width
Measured with the embedded sensors of the treadmills
Change in left/right asymmetry of step lengths
Measured with the embedded sensors of the treadmills
Change in left/right asymmetry of step durations
Measured with the embedded sensors of the treadmills
Changes in stance and swing phases
Measured with the embedded sensors of the treadmills
Change in gait variability
Stride-to-stride variability of gait parameters (outcomes 7-12)
Full Information
NCT ID
NCT02808078
First Posted
June 14, 2016
Last Updated
December 5, 2017
Sponsor
Philippe Terrier
Collaborators
Swiss Heart Foundation
1. Study Identification
Unique Protocol Identification Number
NCT02808078
Brief Title
Gait Adaptation for Stroke Patients With Augmented Reality
Acronym
GASPAR
Official Title
Visually-guided Gait Training in Paretic Patients During First Rehabilitation: a Randomized Controlled Trial
Study Type
Interventional
2. Study Status
Record Verification Date
December 2017
Overall Recruitment Status
Unknown status
Study Start Date
June 2016 (undefined)
Primary Completion Date
July 2018 (Anticipated)
Study Completion Date
December 2018 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Sponsor-Investigator
Name of the Sponsor
Philippe Terrier
Collaborators
Swiss Heart Foundation
4. Oversight
Data Monitoring Committee
No
5. Study Description
Brief Summary
The GASPAR trial is a pragmatic, parallel-arms, single-center, non-blinded, superiority randomized control trial in neurorehabilitation. The main objective is to test whether a 4 weeks gait rehabilitation program that uses augmented reality is superior to a conventional treadmill training program of equivalent intensity. Baseline assessments precede allocation, which consists in blocking randomization (2:1 ratio) with stratification according to the disease etiology. Post-intervention assessments serve to compare the short-term efficacy of the intervention between the two groups. Three months after discharge, follow-up assessments take place to detect potential long-term effects.
Detailed Description
After a lesion to the central nervous system, many patients suffer from a diminished walking capability. During the first rehabilitation phase, specific cares help the recovery of motor function to offer the best chances of returning to normal walk. For example, the repeated practice of walking exercises facilitates the gain of muscular strength and stimulates motor relearning. However, in patients, who have finished the first rehabilitation phase, it is often observed strong limping, unsteady gait, and a bad management of obstacle clearance. Thus, these individuals fall frequently, with risk of severe injury. The aim of the study is to assess the efficacy of gait training on a treadmill equipped with an augmented reality system. Shapes are displayed onto the treadmill belt with a projector (beamer): the patient adapts his/her gait to the drawing that unfolds in front of him/her. It is possible to train gait symmetry for coordination enhancement or to exercise obstacle clearance and gait agility. Another advantage of this type of treadmill is the capability to continuously analyze gait with integrated sensors and, hence, to give real-time feedback to the patient. Whereas the method seems promising, thorough studies that would confirm its efficacy are lacking. Therefore, the investigators seek to conduct a randomized controlled trial to compare visually-guided gait training with a more classical training method. During four weeks, participants will train, according to their abilities, three to five times a week during 30 minutes on the augmented-reality treadmill. A group of control patients will train at comparable intensity but without the visual guidance of gait. Using the data collected during the training sessions, the investigators will study whether the evolution of locomotor function differs between both groups. Furthermore, several questionnaires will be filled in by the participants to document the self-evaluation of their progress. In the long term, the investigators expect to first improve the efficacy of gait rehabilitation and second to better understand the recovery process of locomotor function during the first months after a stroke.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Stroke, Traumatic Brain Injury, Spinal Cord Injury
Keywords
Instrumented treadmill, Augmented reality, Neurorehabilitation, Gait disorders
7. Study Design
Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
70 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Augmented reality training
Arm Type
Experimental
Arm Description
Gait training with augmented reality
Arm Title
Standard training
Arm Type
Active Comparator
Arm Description
Gait training without augmented reality
Intervention Type
Device
Intervention Name(s)
Gait training with augmented reality
Intervention Description
20 sessions (30 min. duration) over 4 weeks of gait training with augmented reality.
Intervention Type
Device
Intervention Name(s)
Standard training
Intervention Description
20 sessions (30 min. duration) over 4 weeks of gait training without augmented reality.
Primary Outcome Measure Information:
Title
Change in walking speed
Description
Walking speed, measured with the 2-minute walk test
Time Frame
Pre-intervention (week 0), Post-intervention (week 5)
Secondary Outcome Measure Information:
Title
Change in postural control
Description
Capabilities to ensure an optimal postural control. Measured with the Berg Balance test
Time Frame
Pre-intervention (week 0), Post-intervention (week 5)
Title
Fear of falling during the hospitalization
Description
Subjective assessment of the fear of falling. Measured with the adapted Falls Efficacy Scale (FES)
Time Frame
week 5
Title
Fear of falling at home
Description
Subjective assessment of the fear of falling. Measured with the adapted Falls Efficacy Scale (FES)
Time Frame
after discharge at 3-4 month
Title
Quality of life at home
Description
Short-Form 36 questionnaire (SF-36)
Time Frame
after discharge at 3-4 month
Title
Perception of the intervention
Description
purpose-designed questionnaire that will ask to the participant about their perception of the intervention. The questionnaire will evaluate the satisfaction with intensity, duration and difficulty of the intervention. Other questions will ask about the perceived training effects on walking speed and confidence.
Time Frame
During the intervention, week 2 and 4
Title
Changes in stride and step lengths
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Changes in stride and step durations
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Change in step width
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Change in left/right asymmetry of step lengths
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Change in left/right asymmetry of step durations
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Changes in stance and swing phases
Description
Measured with the embedded sensors of the treadmills
Time Frame
In every gait training sessions, from week 1 to week 4
Title
Change in gait variability
Description
Stride-to-stride variability of gait parameters (outcomes 7-12)
Time Frame
In every gait training sessions, from week 1 to week 4
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Participants fulfilling all of the following inclusion criteria are eligible for the study:
Informed Consent as documented by signature
Stroke patients, patients with traumatic brain injury, or patients with spinal cord injury in the acute to sub-acute phase (maximum 40 days after the incident)
Need for gait rehabilitation in reason of at least one of the following conditions: Paresis of the lower extremities. Severe balance disorders. No walking at entry due to the neurological injury
Ability to walk 2 minutes without or with minimal aid, namely: With the help of one person, or: With walking aid (cane, walker)
The presence of any one of the following exclusion criteria will lead to exclusion of the participant:
Age < 18 years
Other clinically significant concomitant disease states (e.g., renal failure, hepatic dysfunction, cardiovascular disease, etc.) that may threaten the health in case of sustained exercise.
Concomitant gait disorders induced by acute to sub-acute musculoskeletal injuries, e.g. fracture of the lower extremities.
Severe pre-existent gait disorders that deeply affect walking abilities and gait pattern, either due to musculoskeletal (e.g. severe osteoarthritis) or neurological (e.g. Parkinson's disease) etiologies.
Severe non-corrected visual impairment
Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. of the participant.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Philippe Terrier, PhD
Phone
+41 27 603 2077
Email
Philippe.Terrier@crr-suva.ch
First Name & Middle Initial & Last Name or Official Title & Degree
Cathia Rossano, MSc
Phone
+41 27 603 2073
Email
Cathia.Rossano@crr-suva.ch
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Philippe Terrier, PhD
Organizational Affiliation
Institute for Research in Rehabilitation and Clinique romande de réadaptation
Official's Role
Principal Investigator
Facility Information:
Facility Name
Clinique Romande de Réadaptation
City
Sion
State/Province
Valais
ZIP/Postal Code
1951
Country
Switzerland
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Philippe Terrier, PhD
Email
Philippe.Terrier@crr-suva.ch
First Name & Middle Initial & Last Name & Degree
Rossano Cathia, MSc
Email
Cathia.Rossano@crr-suva.ch
First Name & Middle Initial & Last Name & Degree
Philippe Terrier, PhD
12. IPD Sharing Statement
Plan to Share IPD
Yes
IPD Sharing Plan Description
At the end of the study, final anonymized database will be made available through a specialized online repository
Citations:
PubMed Identifier
27788679
Citation
Rossano C, Terrier P. Visually-guided gait training in paretic patients during the first rehabilitation phase: study protocol for a randomized controlled trial. Trials. 2016 Oct 27;17(1):523. doi: 10.1186/s13063-016-1630-8.
Results Reference
derived
Learn more about this trial
Gait Adaptation for Stroke Patients With Augmented Reality
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