EEG-controlled functional electrical stimulation for hand opening and closing in chronic complete cervical spinal cord injury
EEG-controlled functional electrical stimulation for hand opening and closing in chronic complete cervical spinal cord injury
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DOI：
10.1088/2057-1976/aabb13
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发表时间：
2018-11-01
影响因子：
1.4
通讯作者：
Prasad, Abhishek
中科院分区：
文献类型：
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作者：
Gant, Katie;Guerra, Santiago;Prasad, Abhishek
背景。美国有超过 33,000 人因脊髓损伤 (SCI) 而完全四肢瘫痪。完全四肢瘫痪的人将手部和手臂功能的恢复视为首要任务，因为这将提供更大的独立性并提高生活质量。在这项研究中，我们表明，患有慢性（损伤后 1 年以上）C5 或 C6 水平、运动完全性 SCI 的受试者能够控制脑机接口功能电刺激 (BCI-FES) 系统，以实现手部张开和闭合。方法：8 名患有 C5 或 C6 运动级 SCI 的受试者和 6 名未受伤的对照受试者参加了 6 次 BCI-FES 课程。使用无线脑电图系统采集脑电图（EEG）信号，并要求受试者“想象移动右手”以进行运动想象。从 C3、C1、Cz、C2 和 C4 电极提取 5Hz 箱 (6-35 Hz) 的平均功率，并将其作为特征输入支持向量机分类算法。当“运动意图”从运动想象期被正确分类时，定制设计的刺激序列就会通过表面电极传递到前臂肌肉，以实现手的张开和闭合。结果：闭环 BCI-FES 会话期间 SCI 组 (74.8% +/- 17.76) 和对照组 (75.5% +/- 11.94) 的平均在线解码准确性相似。使用蒙特卡罗模拟验证在线解码准确性，该模拟使用 30%、50% 和 70% 的训练数据来验证解码的在线准确性，Wilcoxon 秩和检验发现 SCI 和对照受试者之间没有显着差异。结论：本研究表明，运动完全性颈椎 SCI 受试者在经过最低限度的 BCI 训练后能够控制 BCI-FES 系统，其解码精度与健康对照相似。非侵入性 BCI-FES 系统可能有潜力恢复运动完全性 SCI 患者的手部功能，从而改善他们的生活质量。
Background. There are over 33 000 people in the US living with complete tetraplegia due to spinal cord injury (SCI). People with complete tetraplegia rank restoration of hand and arm function as their highest priority, as it would offer greater independence and improved quality of life. In this study, we show that subjects with chronic (>1-year post-injury) C5 or C6 level, motor-complete SCI are able to control a brain computer interface-functional electrical stimulation (BCI-FES) system to enable hand opening and closing. Methods: 8 subjects with C5 or C6 motor-level SCI and 6 uninjured, control subjects participated in 6 sessions of BCI-FES sessions. Electroencephalographic (EEG) signals were acquired using a wireless EEG system and subjects were asked to 'imagine moving their right hand' for motor imagery. Average power was extracted in 5Hz bins (6-35 Hz) from C3, C1, Cz, C2, and C4 electrodes and input as features to a support vector machine classification algorithm. When 'movement intention' was classified correctly from the motor imagery period, a custom-designed stimulation sequence was delivered to the forearm muscles via surface electrodes to enable opening and closing of the hand. Results: Average online decoding accuracy during the closed-loop BCI-FES sessions was similar for the SCI (74.8% +/- 17.76) and the control (75.5% +/- 11.94) group. Online decoding accuracies were validated using Monte Carlo simulations that used 30%, 50%, and 70% training data to validate the decoded online accuracy and Wilcoxon rank sum test found no significant differences between the SCI and Control subjects. Conclusions: This study demonstrates that subjects with motor complete, cervical SCI were able to control a BCI-FES system with decoding accuracies similar to healthy controls after minimal BCI-training. Non-invasive BCI-FES systems may have the potential to restore hand function in people with motor-complete SCI to improve their quality of life.