Clinical trial NCT05334030: Walking With the EksoNR in Stroke Patients and Healthy Controls: Biomechanical Changes and User Experience.
Official title: Walking With the EksoNR in Stroke Patients and Healthy Controls: Biomechanical Changes and User Experience.
Study type: INTERVENTIONAL
Overall status: UNKNOWN
Phase: NA
Conditions: Stroke
Healthy
Lead sponsor: Vrije Universiteit Brussel
Sponsor class: OTHER
Collaborators: name: Universitair Ziekenhuis Brussel
First posted: 2022-04-19
Enrollment: 24
Sex: ALL
Minimum age (years): 18
Maximum age (years): 80
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: CROSSOVER
Primary purpose: TREATMENT

Brief summary: Further studies are needed to provide more detailed information on the potential effects of robotic gait training in general, as well as on the influence on gait movement patterns in particular. Patient perspectives and feedback contribute to the continuous development of exoskeletal technology. For these reasons, the main objective of this study is to decipher the relationship between EksoNR's robotic control settings and walking biomechanics in stroke patients and healthy subjects; the second objective is to discover the user experience during the use of EksoNR.

Detailed description: Stroke is the leading cause of severe disability in adults resulting in mobility, balance, and coordination deficits. Because of this, walking recovery has a significant impact on stroke patients' quality of life. To improve rehabilitation techniques, robotic exoskeletons are being increasingly used during physiotherapy sessions. The use of robotic exoskeletons enhances conventional poststroke rehabilitation via intense and task-oriented training. To achieve a normal gait pattern, it is essential to restore the correct activation timing of the lower limb muscles.

Designed by Ekso Bionics, EksoNR is the first exoskeleton device to receive FDA clearance for rehabilitation use with patients with acquired brain injury and stroke patients. EksoNR has several settings that can be adapted to have the best user experience possible and to provide individual-specific training. This study is being proposed to better understand the impact of each setting on stroke recovery and user experience. The two key outcomes are 1) to decipher the relationship between EksoNR robotic control settings and the biomechanics of walking; and 2) to uncover the psychological experiences during EksoNR use. To achieve these outcomes, the investigators are going to measure the effects of Swing Assist EksoNR settings on Gait kinematics; Kinetics; Muscle activity and Activation Timing; and User Experience.

The investigators will use a two-way repeated-measures design with a group (2 levels, healthy and stroke patients) as between factor and settings (4 levels) and user experience as within factors. It is an intra-subject design with an allocation ratio of 1/1. The healthy and stroke patients will have the same age limits.

Because there has not been a lot of research yet about the effect of different settings of the EksoNR on the rehabilitation of stroke patients or on the user experience using the EksoNR this study will use an exploratory framework. The purpose is to investigate what the different outcomes are for all the settings on biomechanical factors: muscle activity, kinematics and spatiotemporal factors.

The experiments will be conducted at the Brubotics Rehabilitation Research Center at the Vrije Universiteit Brussel (VUB)'s Brussels health campus (centrally located between Universitair Ziekenhuis Brussel (UZBrussel), Erasmushogeschool Brussel (EhB ) campus Jette and VUB Jette), led by Prof. Eva Swinnen and Prof. Nina Lefeber.

The participant needs to go to Brubotics Rehabilitation Research Center to perform two or three sessions in total with a break of 10 days (about 1 and a half weeks) in between.

Session 1 - Take in Session (1h) - At the beginning of this session the informed consent will be signed. Afterwards, the research team will prepare the settings and inquire about patient history, functional history, and physical evaluation. During the physical evaluation, it is necessary to do a gross assessment of strength, range of motion, and spasticity/tone; a detailed assessment of critical range of motion measurements; a qualitative assessment of pelvic posture and lumbar mobility; and check skin integrity. The patients walk with the EksoNR for at least 20 minutes.

Session 2 (1h) - This is a session to get familiar with walking with EksoNR for at least 20 minutes. It is only for stroke patients who have never walked with EksoNR, for that reason, if a patient has already used EksoNR before, will only do Session 1 + Session 3, skipping Session 2.

Session 3 (2h) - Each participant is going to walk 7 min (or min 25 gait cycles) in every condition, the order being randomly assigned and concealed from the patient (Trial 1- 4). For the random generation, each setting is going to be labelled and the sequence is going to be generated at the beginning of the session with a Matlab script. This script will randomly sort an array for each participant. Between trials, there is a rest of 5 min. During all walking trials, participants are allowed to stop and rest if necessary and research staff provided non-contact guarding for safety. In this session, kinetic data, spatio-temporal parameters, muscle activity and patient experience are going to be analyzed.

To make the analysis, the program Statistical Package for the Social Sciences (SPSS) version 27.0.1 will be used with a significance level set at 0,05. All data were summarized by using medians, standard deviations and means.

Eligibility criteria: This study will test a group of stroke patients and a group of healthy subjects in each condition.

To assess communication, memory and understanding the Montreal Cognitive Assessment (MoCA) written test is going to be carried out. This test is a valid assessment of cognitive abilities, such as orientation, short-term memory, executive visuospatial ability, language abilities, abstraction, and attention. To enrol in this study, both people (post-stroke and healthy controls) need to do a MoCA test and have more than 25 points on the MoCA test

Inclusion Criteria for people post-stroke:

* People diagnosed with first-ever stroke (as defined by the WHO);
* Age between 18 and 80 years;
* Time since diagnosis between 1 week and 6 months;
* Functional ambulation category below 3 (meaning a patient who requires intermittent or continuous manual contact to support body weight, maintain balance or assist coordination.);
* Does not meet the Ekso robotic exoskeleton frame limitations (See list below)
* Able to provide written or verbal informed consent.

Exclusion Criteria for people post-stroke:

* Extensive experience with the use of the EksoNR (more than four training sessions);
* Other neurological or musculoskeletal problems leading to impaired gait (unrelated to their stroke);
* Severe complicating comorbidities (e.g., cardiovascular instability, pulmonary diseases);
* Severe deficits of communication, memory or understanding (25 points or less on the MoCA test);
* And contraindications for EksoNR use (see list below).

A group of healthy participants within the same age category will be used as controls.

Exclusion Criteria for healthy controls:

* Disabilities leading to impaired gait;
* Severe complicating comorbidities (e.g.: cardiovascular instability, pulmonary diseases);
* Severe deficits of communication, memory or understanding (25 points or less on the MoCA test);
* Contraindications for EksoNR use (see list below).

Exclusion criteria related to the use of the EksoNR :

* Severe concurrent medical conditions: infections, circulatory, heart or lung, pressure sores.
* Severe spasticity (Modified Ashworth 4).
* Unstable spine or unhealed limbs or pelvic fractures.
* Active heterotopic ossification interfering with lower extremity range of motion.
* Significant contractures.
* Psychiatric or cognitive situations that may interfere with the proper operation of the device.
* Cognitive impairments resulting in the inability to follow directions.
* Pregnancy.
* Colostomy.
* Poor skin integrity in areas in contact with the device.
* Decreased standing tolerance due to orthostatic hypotension.
* Range of motion restrictions that would prevent a patient from achieving a normal, reciprocal gait pattern, or would restrict a patient from completing normal sit-to-stand or stand-to-sit transitions: Knee flexion contracture greater than 12° and inability to achieve 0° neutral angle dorsiflexion with knee flexion up to 12°.
* Leg length discrepancy greater than 1.27 cm for thighs or 1.91 cm for lower legs.
* Unresolved deep vein thrombosis.
* Uncontrolled autonomic dysreflexia.
* Lower limb prosthesis.

Requirements for the use of the EksoNR:

* Weigh 100 kg or less.
* Between 1.5 m and 1.88 m tall.
* Have a standing hip width of 45 cm or less.
* Have a near-normal range of motion in hips, knees, and ankles.
* Able to attain neutral ankle dorsiflexion with \<12 degrees of knee flexion contracture.
* Upper leg length discrepancy must be equal to or less than 1.27 cm and lower leg discrepancy equal to or less than 1.91 cm.

Primary outcomes:
measure: Kinematics parameters
timeFrame: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
measure: Cadence
timeFrame: Data is only going to be collected on session 3, between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
measure: Gait speed
timeFrame: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
measure: Step length
timeFrame: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
measure: Muscle Activity
timeFrame: Data is only going to be collected on session 3 (day 3), between minutes 2 and 6 of recording for each setting. This time frame is used to avoid the effects of the acceleration and deceleration phases at the beginning and at the end of the walk pathway
Secondary outcomes:
measure: User Experience
timeFrame: Filled out by both the stroke and healthy patients immediately after the end of session 3 (day 3).
Other outcomes:
Locations:
Study officials:
affiliation: Vrije Universiteit Brussel
name: EVA SWINNEN, Prof. Ph.D
role: STUDY_DIRECTOR
affiliation: Vrije Universiteit Brussel
name: Chiara Cavallaro, Bachelor's
role: PRINCIPAL_INVESTIGATOR
affiliation: Vrije Universiteit Brussel
name: Joana Brites, Master's
role: PRINCIPAL_INVESTIGATOR
References: