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BCI-Based Control for Ankle Exoskeleton T-FLEX: Comparison of Visual and Haptic Feedback With Stroke Survivors

BCI-Based Control for Ankle Exoskeleton T-FLEX: Comparison of Visual and Haptic Feedback With Stroke Survivors

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04995367
Enrollment
5
Registered
2021-08-06
Start date
2021-03-15
Completion date
2021-05-15
Last updated
2021-08-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stroke

Keywords

Stroke, Brain-Computer Interface, Exoskeleton

Brief summary

This protocol will developed an assessment of the T-FLEX device controlled by Brain-Computer Interface in patients with Stroke.

Detailed description

Brain-Computer Interface (BCI) remains an emerging tool that seeks to improve the patient interaction with the therapeutic mechanisms and to generate neuroplasticity progressively through neuromotor abilities. Motor Imagery (MI) analysis is the most used paradigm based on the motor cortex's electrical activity to detect movement intention. It has been shown that motor imagery mental practice with movement-associated feedback may offer an effective strategy to facilitate motor recovery in brain injury patients. This protocol will study a BCI system associated with visual and haptic feedback to facilitate MI generation and, to control a T-FLEX ankle exoskeleton. In this study, a group of five post-stroke patients will test four different strategies using T-FLEX: Passive movement, Active movement, Motor Imagination with Visual stimulation and Motor Imagination with Visual-Haptic stimuli. The quantitative characterization of BCI performance will be made by using statistical analysis of electroencephalographic data. Finally, the patient's satisfaction will be evaluated by a questionnaire.

Interventions

DEVICEImplementation of a BCI system integrated to the T-FLEX lower-limb exoskeleton in post-stroke patients.

The participants will carry out 4 tasks with a BCI system integrated to the T-FLEX device. The task consists of 1 session that includes 4 conditional experiments: Active ankle movement, passive ankle movement, Motor Imagery Detection with Visual cue, and Motor Imagery Detection with Tactile Stimulation and visual cue.

Sponsors

Colombian School of Engineering Julio Garavito
CollaboratorOTHER
Corporación de Rehabilitación Club de Leones Cruz del Sur
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* Unilateral lower extremity paresis * Hemorrhagic or ischemic stroke * A minimum of six months after the acute infarction/onset of the disease * Full passive range of motion in lower extremity or at least at neutral position * Be able to stand freely * Be able to walk with or without aid for at least 20 meters in less than 2 minutes

Exclusion criteria

* Peripheral nervous system pathology * Epilepsy * Weight over 100 kg * No cognitive ability to follow the study instructions * Pregnancy * Use of implanted devices * Instable lower extremity joints or fixed contracture

Design outcomes

Primary

MeasureTime frameDescription
Response timeBaselineThe response time for each task will be automatically measured by a Visual Studio Code Software during the use of the Brain-Computer Interface. This variable will consider the response time of a specific command, since the subject receives the stimulation until the software detects the EEG Signal. The measure unit is milliseconds
EEG signals from primary motor cortexBaselinecontinuous signals will be acquired from the primary motor cortex of lower limbs (FcZ, C2, Cz, C1, Cpz) according to the 10-20 International EEG System. Power spectral density in the frequency band of motor imagery (8-32Hz) will be obtained by OpenVibe Software and Matlab. The measure unit is Decibels per Hertz(dB/Hz).

Secondary

MeasureTime frameDescription
Patient satisfaction with device: Quebec User Evaluation of Satisfaction with Assistive TechnologyBaselineMeasured with QUEST scale. The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0) is a 12-item outcome measure that assesses user satisfaction with two components, Device and Services. Scores of 1 indicate dissatisfaction and scores of 5 indicate high satisfaction

Countries

Chile

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026