Department of Neurology, University of California, Irvine, CA 92697, USA.
J Neuroeng Rehabil. 2011 Aug 26;8:49. doi: 10.1186/1743-0003-8-49.
Many neurological conditions, such as stroke, spinal cord injury, and traumatic brain injury, can cause chronic gait function impairment due to foot-drop. Current physiotherapy techniques provide only a limited degree of motor function recovery in these individuals, and therefore novel therapies are needed. Brain-computer interface (BCI) is a relatively novel technology with a potential to restore, substitute, or augment lost motor behaviors in patients with neurological injuries. Here, we describe the first successful integration of a noninvasive electroencephalogram (EEG)-based BCI with a noninvasive functional electrical stimulation (FES) system that enables the direct brain control of foot dorsiflexion in able-bodied individuals.
A noninvasive EEG-based BCI system was integrated with a noninvasive FES system for foot dorsiflexion. Subjects underwent computer-cued epochs of repetitive foot dorsiflexion and idling while their EEG signals were recorded and stored for offline analysis. The analysis generated a prediction model that allowed EEG data to be analyzed and classified in real time during online BCI operation. The real-time online performance of the integrated BCI-FES system was tested in a group of five able-bodied subjects who used repetitive foot dorsiflexion to elicit BCI-FES mediated dorsiflexion of the contralateral foot.
Five able-bodied subjects performed 10 alternations of idling and repetitive foot dorsifiexion to trigger BCI-FES mediated dorsifiexion of the contralateral foot. The epochs of BCI-FES mediated foot dorsifiexion were highly correlated with the epochs of voluntary foot dorsifiexion (correlation coefficient ranged between 0.59 and 0.77) with latencies ranging from 1.4 sec to 3.1 sec. In addition, all subjects achieved a 100% BCI-FES response (no omissions), and one subject had a single false alarm.
This study suggests that the integration of a noninvasive BCI with a lower-extremity FES system is feasible. With additional modifications, the proposed BCI-FES system may offer a novel and effective therapy in the neuro-rehabilitation of individuals with lower extremity paralysis due to neurological injuries.
许多神经疾病,如中风、脊髓损伤和外伤性脑损伤,都会导致足下垂,从而造成慢性步态功能障碍。目前的物理疗法在这些患者中只能提供有限程度的运动功能恢复,因此需要新的治疗方法。脑机接口(BCI)是一种相对较新的技术,有可能恢复、替代或增强神经损伤患者失去的运动行为。在这里,我们描述了第一个成功整合非侵入性脑电图(EEG)为基础的脑机接口与非侵入性功能性电刺激(FES)系统,使健全个体能够直接控制足背屈。
将基于非侵入性脑电图的脑机接口系统与非侵入性 FES 系统整合用于足背屈。受试者在接受计算机提示的重复足背屈和空闲期时,记录并存储他们的脑电图信号,以便离线分析。分析生成了一个预测模型,允许在实时在线 BCI 操作期间分析和分类 EEG 数据。该整合的 BCI-FES 系统的实时在线性能在一组五名健全个体中进行了测试,他们使用重复的足背屈来引发 BCI-FES 介导的对侧足背屈。
五名健全个体进行了 10 次空闲和重复足背屈的交替,以触发 BCI-FES 介导的对侧足背屈。BCI-FES 介导的足背屈与自愿足背屈的时期高度相关(相关系数范围为 0.59 至 0.77),潜伏期为 1.4 秒至 3.1 秒。此外,所有受试者都实现了 100%的 BCI-FES 反应(无遗漏),一名受试者有一个假警报。
这项研究表明,非侵入性 BCI 与下肢 FES 系统的整合是可行的。通过进一步的修改,所提出的 BCI-FES 系统可能为神经损伤导致下肢瘫痪的个体的神经康复提供一种新颖而有效的治疗方法。