Brain–Computer Interfaces (BCIs) are becoming an important technological tool for the rehabilitation process of patients with locomotor problems, due to their ability to recover the connection between brain and limbs by promoting neural plasticity. They can be used as assistive devices to improve the mobility of handicapped people. For this reason, current BCIs have to be improved to allow an accurate and natural use of external devices. This work proposes a novel methodology for the detection of the intention to change the direction during gait based on event-related desynchronization (ERD). Frequency and temporal features of the electroencephalographic (EEG) signals are characterized. Then, a selection of the most influential features and electrodes to differentiate the direction change intention from the walking is carried out. Best results are obtained when combining frequency and temporal features with an average accuracy of 93.3 ± 11.5%, which are promising to be applied for future BCIs.

中文翻译：

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通过脑电信号检测步态过程中方向变化的意图

脑机接口 (BCI) 正成为运动问题患者康复过程的重要技术工具，因为它们能够通过促进神经可塑性来恢复大脑和四肢之间的连接。它们可以用作辅助设备，以提高残疾人的行动能力。出于这个原因，必须改进当前的 BCI 以允许准确和自然地使用外部设备。这项工作提出了一种新的方法，用于检测基于事件相关去同步（ERD）在步态期间改变方向的意图。表征了脑电图 (EEG) 信号的频率和时间特征。然后，选择最具影响力的特征和电极，以区分方向改变意图与步行。93.3 ± 11.5%，有望应用于未来的 BCI。