This protocol will developed an assessment of the T-FLEX device controlled by Brain-Computer Interface in patients with Stroke.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
5
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.
Corporación de Rehabilitación Club de Leones Cruz del Sur
Punta Arenas, Region of Magallanes, Chile
Response time
The 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
Time frame: Baseline
EEG signals from primary motor cortex
continuous 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).
Time frame: Baseline
Patient satisfaction with device: Quebec User Evaluation of Satisfaction with Assistive Technology
Measured 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
Time frame: Baseline
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