BCI-Based Control for Ankle Exoskeleton T-FLEX: Comparison of Visual and Haptic Feedback With Stroke Survivors
This protocol will developed an assessment of the T-FLEX device controlled by Brain-Computer Interface in patients with Stroke.
研究概览
地位
完全的
条件
详细说明
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.
研究类型
介入性
注册 (实际的)
5
阶段
- 不适用
联系人和位置
本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。
学习地点
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XII Región
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Punta Arenas、XII Región、智利、6211525
- Corporación de Rehabilitación Club de Leones Cruz del Sur
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参与标准
研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。
资格标准
适合学习的年龄
18年 至 70年 (成人、年长者)
接受健康志愿者
不
有资格学习的性别
全部
描述
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
学习计划
本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。
研究是如何设计的?
设计细节
- 主要用途:治疗
- 分配:不适用
- 介入模型:单组作业
- 屏蔽:无(打开标签)
武器和干预
参与者组/臂 |
干预/治疗 |
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实验性的:Implementation of a BCI system integrated to the T-FLEX lower-limb exoskeleton in post-stroke
The participants will carry out tests for the evaluation of the functionality of the BCI system integrated to the T-FLEX device.
The test consists of 1 session that includes four conditional experiments.
Real Movement, Continuous Stationary Therapy, Motor Imagery Detection with Visual Stimulation, and Motor Imagery Detection with Tactile Stimulation.
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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.
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
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Response time
大体时间:Baseline
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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 |
Baseline
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EEG signals from primary motor cortex
大体时间:Baseline
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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).
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Baseline
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Patient satisfaction with device: Quebec User Evaluation of Satisfaction with Assistive Technology
大体时间:Baseline
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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
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Baseline
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合作者和调查者
在这里您可以找到参与这项研究的人员和组织。
调查人员
- 学习椅:Asterio H Andrade, PhD、Rehabilitation Center Club de Leones Cruz del Sur
出版物和有用的链接
负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。
一般刊物
- Needham DM, Truong AD, Fan E. Technology to enhance physical rehabilitation of critically ill patients. Crit Care Med. 2009 Oct;37(10 Suppl):S436-41. doi: 10.1097/CCM.0b013e3181b6fa29.
- Verma R, Arya KN, Sharma P, Garg RK. Understanding gait control in post-stroke: implications for management. J Bodyw Mov Ther. 2012 Jan;16(1):14-21. doi: 10.1016/j.jbmt.2010.12.005. Epub 2010 Dec 30.
- Chen G, Chan CK, Guo Z, Yu H. A review of lower extremity assistive robotic exoskeletons in rehabilitation therapy. Crit Rev Biomed Eng. 2013;41(4-5):343-63. doi: 10.1615/critrevbiomedeng.2014010453.
- Gomez-Vargas D, Ballen-Moreno F, Barria P, Aguilar R, Azorin JM, Munera M, Cifuentes CA. The Actuation System of the Ankle Exoskeleton T-FLEX: First Use Experimental Validation in People with Stroke. Brain Sci. 2021 Mar 24;11(4):412. doi: 10.3390/brainsci11040412.
- He Y, Eguren D, Azorin JM, Grossman RG, Luu TP, Contreras-Vidal JL. Brain-machine interfaces for controlling lower-limb powered robotic systems. J Neural Eng. 2018 Apr;15(2):021004. doi: 10.1088/1741-2552/aaa8c0.
- Ortiz M, Ianez E, Contreras-Vidal JL, Azorin JM. Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study. Front Neurorobot. 2020 Aug 27;14:48. doi: 10.3389/fnbot.2020.00048. eCollection 2020.
- Ma T, Li H, Deng L, Yang H, Lv X, Li P, Li F, Zhang R, Liu T, Yao D, Xu P. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential. J Neural Eng. 2017 Apr;14(2):026015. doi: 10.1088/1741-2552/aa5d5f. Epub 2017 Feb 1.
- Thomas E, Dyson M, Clerc M. An analysis of performance evaluation for motor-imagery based BCI. J Neural Eng. 2013 Jun;10(3):031001. doi: 10.1088/1741-2560/10/3/031001. Epub 2013 May 3.
- Ortiz M, Ferrero L, Ianez E, Azorin JM, Contreras-Vidal JL. Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton. Front Bioeng Biotechnol. 2020 Sep 3;8:735. doi: 10.3389/fbioe.2020.00735. eCollection 2020.
研究记录日期
这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。
研究主要日期
学习开始 (实际的)
2021年3月15日
初级完成 (实际的)
2021年5月12日
研究完成 (实际的)
2021年5月15日
研究注册日期
首次提交
2021年6月7日
首先提交符合 QC 标准的
2021年8月4日
首次发布 (实际的)
2021年8月6日
研究记录更新
最后更新发布 (实际的)
2021年8月6日
上次提交的符合 QC 标准的更新
2021年8月4日
最后验证
2021年8月1日
更多信息
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.