Nowadays, the brain-computer interface (BCI) systems attract much more attention than before, yet they have not found their ways into our lives since their accuracy is not satisfying. Error Related Potential (ErRP) is a potential that occurs in human brain signals when an unintended event happens, against ones’ will and thoughts. An example is the occurrence of an error in BCI systems. Investigation of the ErRP could enable researchers to increase the accuracy of BCI systems by detecting instances of inaccuracy in the system. In this research the effects of two parameters on the ErRP are studied: (1) The Motor Imagery Time, also known as Inter-Stimulus Interval (ISI) and (2) different types of feedback (Visual and Tactile). The statistical analysis of the ErRP characteristics showed that feedback type meaningfully affects the ErRP in a cue-paced BCI system and it will affect the time of occurrence of this potential. To validate the proposed idea, different feature extraction, and classification techniques were used for the classification of the BCI system responses. It was shown that by proper selection of the parameters and features, the accuracy of the system could be improved. Tactile feedback together with higher ISI could increase the accuracy of finding erroneous trials up to 90%. The proposed method’s accuracy was significantly higher (p-value < 0.05) compared to other methods of feature extraction.

如今，脑机接口（BCI）系统比以前吸引了更多的注意力，但是由于其准确性无法令人满意，它们尚未进入我们的生活。错误相关电位（ErRP）是在意外事件发生时违反人的意愿和思想而在人脑信号中发生的电位。一个例子是BCI系统中发生错误。对ErRP的研究可以使研究人员通过检测系统中不准确的情况来提高BCI系统的准确性。在这项研究中，研究了两个参数对ErRP的影响：（1）运动图像时间，也称为刺激间隔（ISI），以及（2）不同类型的反馈（视觉和触觉）。对ErRP特性的统计分析表明，反馈类型会在提示节奏的BCI系统中显着影响ErRP，并且会影响该电位的发生时间。为了验证所提出的想法，将不同的特征提取和分类技术用于BCI系统响应的分类。结果表明，由参数和功能的正确选择，该系统的准确度可提高。触觉反馈与更高的ISI一起可以使查找错误试验的准确性提高多达90％。与其他特征提取方法相比，该方法的准确性明显更高（p值<0.05）。使用分类技术对BCI系统响应进行分类。结果表明，由参数和功能的正确选择，该系统的准确度可提高。触觉反馈与更高的ISI一起可以使查找错误试验的准确性提高多达90％。与其他特征提取方法相比，该方法的准确性明显更高（p值<0.05）。使用分类技术对BCI系统响应进行分类。结果表明，由参数和功能的正确选择，该系统的准确度可提高。触觉反馈与更高的ISI一起可以使查找错误试验的准确性提高多达90％。与其他特征提取方法相比，该方法的准确性明显更高（p值<0.05）。