Skip to main content
OpenTrials
Completed

NCT Number: NCT05419791

The Effects of Lokomat Virtual Reality Applications on Balance and Gait in Stroke Patients

The effectiveness of applying robot-assisted walking training together with conventional physiotherapy is widely accepted. Virtual reality is another component and its contribution to rehabilitation is important. When we look at the literature on virtual reality applications on balance and walking, it is seen that some systems are beneficial while some systems have no effect. This raises the possibility that virtual reality applications may produce different results due to the task in the exercise, patient motivation or any other reason. There is a need to investigate whether virtual reality applications have different effects, if any, what is the source of this and what care should be taken in the development of these applications in the future. Therefore, we focused on investigating the different effects of Lokomat virtual reality applications.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Stroke Brain Diseases Cardiovascular Diseases Central Nervous System Diseases Cerebrovascular Disorders Nervous System Diseases Vascular Diseases

Age range

18 year–80 year

Sex eligibility

Male

Study type

Interventional

Phase

Not applicable

Primary location

Ankara City Hospital

Ankara, 06000, Turkey (Türkiye)

About this study

Stroke is an important health problem worldwide. Emotional, cognitive, sensory and motor problems occur with stroke. Motor problems are especially balance and walking problems and they are related to each other. So balance and gait rehabilitation are primary goals in stroke.

Although the first study to support the efficacy of Lokomat is that Lokomat is superior to conventional physiotherapy in walking, there are also studies reporting that there is no difference between the effects of Lokomat and conventional physiotherapy and that conventional physiotherapy is superior. In the light of all these studies, the effectiveness of applying robotic systems together with conventional physiotherapy is widely accepted.

Robot Assisted Walking Training has many components such as guiding force, walking speed, body weight support. Virtual reality is one of these components and there is literature in which Lokomat virtual reality applications are effective on balance and walking. Although the virtual reality effect is emphasized for Lokomat, there is a lack of literature on the specific effect of different virtual reality applications. In our study, it was aimed to examine the changes caused by different Lokomat virtual reality applications in the spatiotemporal parameters of balance and gait.

Method: This study was conducted to examine the effects of Lokomat VR applications on balance and spatiotemporal parameters of gait in patients with chronic stroke; It is a prospective, randomized controlled, single-blind study. The study will be carried out in a single-blind manner, and the evaluator will not know which group the individual is in. 56 individuals with chronic stroke included our study. All individuals have been informed about the study and read and signed the consent form stating that they voluntarily participated in the study. For balance evaluation we used Berg Balance Scale and Huber 360 device, which measures postural stability and limits of stability. And for gait evaluation we used 10 MWT, 6 MWT and spatiotemporal gait analysis for C-Mill VR+.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

  • Inclusion Criteria:
  • Clinical diagnosis is stroke
  • The time period have to be chronic period (+6 months)
  • The patient must have the ability to walk with or without support
  • The patiens should be able to understand Lokomat exercises
  • Exclusion Criteria:
  • Any condition that may prevent walking with Lokomat
  • Not volunteering to participate in the study

Treatment and study plan

Robot Asisted Gait Training with Lokomat (Endurance)

Other
  • Faster application (using for Endurance) : 3 days in a week for 6 weeks,very season was 40 min.
  • Conventional Physiotherapy : 5 days in a week for 6 weeks, every seanson was 40 min.

Robot Asisted Gait Training with Lokomat (Attention and Motivation)

Other
  • Smile application (using for Attetion and Motivation) : 3 days in a week for 6 weeks,very season was 20 min.
  • Gabarello application (using for Attetion and Motivation) : 3 days in a week for 6 weeks,very season was 20 min.
  • Conventional Physiotherapy : 5 days in a week for 6 weeks, every seanson was 40 min.

Robot Asisted Gait Training with Lokomat (Activity Timing)

Other
  • High Flyer application (using for Activity Timing) : 3 days in a week for 6 weeks,very season was 20 min.
  • Treasures application (using for Activity Timing) : 3 days in a week for 6 weeks,very season was 10 min.
  • Curve Pursuit application (using for Activity Timing) : 3 days in a week for 6 weeks,very season was 10 min.
  • Conventional Physiotherapy : 5 days in a week for 6 weeks, every seanson was 40 min.

Conventional Physiotherapy

Other

-Conventional Physiotherapy : 5 days in a week for 6 weeks, every seanson was 40 min.

Primary outcomes

  1. Change in 6 MWT

    Time frame: 6 weeks after treatment

    6 Minutes Walk Test is a test using for walking distance. We evaluated the change in walking distance with 6 MWT.

  2. Change in 10 MWT

    Time frame: 6 weeks after treatment

    10 MWT is a test using for evaluate the gait speed. Gait speed is a spatiotemporal parameter.

  3. Change in BBS

    Time frame: 6 weeks after treatment

    Berg Balance Scale used for balance assesment. The scale consists of 14 items and each item gets a score between 0-4. As a result, the person evaluated gets a score between 0-56 on the berg balance scale. A higher score means the person has better balance skills.

  4. Change in Limits of Stability

    Time frame: 6 weeks after treatment

    Limits of Stability (LoS) are defined as the points at which the center of gravity (CoG) approaches the limits of the base of support (BoS) and a correction strategy is required to return the center of mass (CoM) to within the BoS. In other words, LoS is the amount of maximum excursion an individual is able to intentionally cover in any direction without losing his/her balance or taking a step. We used Huber 360 device to evaluate the LoS.

  5. Change in Spatiotemporal Gait Analysis

    Time frame: 6 weeks after treatment

    Spatiotemporal gait analysis gives spatial (distance) parameters along with temporal (time) parameters.

    • Spatial parameters:
    • Step Length
    • Step Width
    • Stride Length
    • Temporal Parameters
    • Step Time
    • Stride Time
    • Stance Time
    • Swing Time
    • Double Support Time We used C-Mill device to evaluate the spatiotemporal parameters.

Secondary outcomes

  1. Change in Spatial Symmetry

    Time frame: 6 weeks after treatment

    It is the ratio of the hemiplegic side step lenght to the non-hemiplegic side step lenght.

  2. Change in Temporal Symmetry

    Time frame: 6 weeks after treatment

    For temporal symmetry we used the description "Gait Symmetry". Gait symmetry is calculated by the ratio of the hemiplegic side sway phase to the hemiplegic side stance phase ratio and the ratio of the non-hemiplegic side sway phase to the non-hemiplegic side stance phase ratio.

  3. Change in Postural Stability

    Time frame: 6 weeks after treatment

    Postural stability refers to the ability to maintain your body in a position to effectively complete a task or demand, using large muscle groups at the shoulders, trunk, and hips. We used Huber 360 device to evaluate the postural staiblity. The assesments were combination of opened and closed eyes. We recorded the COP vellocity and area.

Sponsors and collaborators

Lead sponsor

Ankara Yildirim Beyazıt University

Other

Collaborators

  • Ankara City Hospital Bilkent

Registry information

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Jun 15, 2022
Registry last updated
Nov 21, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.