Brain-computer interface controlled robotic gait orthosis.
Brain-computer interface controlled robotic gait orthosis.
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DOI：
10.1186/1743-0003-10-111
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发表时间：
2013-12-09
影响因子：
5.1
通讯作者：
Nenadic Z
中科院分区：
文献类型：
--
作者：
Do AH;Wang PT;King CE;Chun SN;Nenadic Z
脊髓损伤 (SCI) 导致四肢瘫痪或截瘫的患者过度依赖轮椅会导致许多并发症，例如心血管疾病、代谢紊乱、骨质疏松症和压疮。这些病症的治疗占 SCI 医疗保健费用的大部分。除了提高独立性和生活质量之外，恢复该患者群体的类似健全人的行走能力还可能减少这些合并症的发生率。然而，不存在可以逆转这种神经功能丧失的生物医学解决方案，因此需要新的方法。脑机接口（BCI）控制的下肢假肢可能构成这样一种新颖的方法。一名身体健全的受试者和一名因 SCI 导致截瘫的受试者在进行交替的闲置和行走动觉运动想象 (KMI) 时进行脑电图 (EEG) 记录。对这些数据进行分析，生成用于在线 BCI 操作的脑电图预测模型。商业机器人步态矫形器 (RoGO) 系统（悬挂在跑步机上）与 BCI 计算机连接，以实现计算机化控制。然后，受试者被要求执行五次、时长 5 分钟的在线会话，在计算机提示的提示下，他们使用 BCI-RoGO 系统进行走动。该系统的性能通过互相关分析、漏报率和误报率进行评估。两个受试者的脑电图预测模型的离线准确率平均为 86.30%（机会：50%）。所有受试者和所有课程的平均教学线索与 BCI-RoGO 步行时期之间的互相关性为 0.812±0.048（p 值 <10−4）。此外，每次会话平均误报 0.8 次，无遗漏。这些结果提供了初步证据，表明脊髓损伤后恢复脑控行走是可行的。未来的工作将在 SCI 受试者群体中测试该系统的功能。如果成功，这可能证明未来开发 BCI 控制的下肢假肢是合理的，以便为完全运动性 SCI 患者自由地上行走。最后，该系统还可以应用于不完全运动性脊髓损伤，它可以改善神经学结果，超出标准物理治疗的效果。
Excessive reliance on wheelchairs in individuals with tetraplegia or paraplegia due to spinal cord injury (SCI) leads to many medical co-morbidities, such as cardiovascular disease, metabolic derangements, osteoporosis, and pressure ulcers. Treatment of these conditions contributes to the majority of SCI health care costs. Restoring able-body-like ambulation in this patient population can potentially reduce the incidence of these medical co-morbidities, in addition to increasing independence and quality of life. However, no biomedical solution exists that can reverse this loss of neurological function, and hence novel methods are needed. Brain-computer interface (BCI) controlled lower extremity prostheses may constitute one such novel approach. One able-bodied subject and one subject with paraplegia due to SCI underwent electroencephalogram (EEG) recordings while engaged in alternating epochs of idling and walking kinesthetic motor imagery (KMI). These data were analyzed to generate an EEG prediction model for online BCI operation. A commercial robotic gait orthosis (RoGO) system (suspended over a treadmill) was interfaced with the BCI computer to allow for computerized control. The subjects were then tasked to perform five, 5-min-long online sessions where they ambulated using the BCI-RoGO system as prompted by computerized cues. The performance of this system was assessed with cross-correlation analysis, and omission and false alarm rates. The offline accuracy of the EEG prediction model averaged 86.30% across both subjects (chance: 50%). The cross-correlation between instructional cues and the BCI-RoGO walking epochs averaged across all subjects and all sessions was 0.812±0.048 (p-value <10−4). Also, there were on average 0.8 false alarms per session and no omissions. These results provide preliminary evidence that restoring brain-controlled ambulation after SCI is feasible. Future work will test the function of this system in a population of subjects with SCI. If successful, this may justify the future development of BCI-controlled lower extremity prostheses for free overground walking for those with complete motor SCI. Finally, this system can also be applied to incomplete motor SCI, where it could lead to improved neurological outcomes beyond those of standard physiotherapy.
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影响因子：
5.1
作者：
King CE;Wang PT;Chui LA;Do AH;Nenadic Z
通讯作者：
Nenadic Z
影响因子：
2.4
作者：
Aminian, K;Najafi, B;Robert, P
通讯作者：
Robert, P
影响因子：
8
作者：
Das, Koel;Nenadic, Zoran
通讯作者：
Nenadic, Zoran
影响因子：
5.7
作者：
la Fougere, Christian;Zwergal, Andreas;Jahn, Klaus
通讯作者：
Jahn, Klaus
影响因子：
4
作者：
Wang, Po T.;King, Christine E.;Nenadic, Zoran
通讯作者：
Nenadic, Zoran