This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm by an active orthosis device. The supported movements were elbow joint movements, i.e., flexion and extension of the right arm. While the orthosis was actively moving the subject's arm, some errors were deliberately introduced for a short duration of time. During this time, the orthosis moved in the opposite direction. In this paper, we explain the experimental setup and present some behavioral analyses across all subjects. Additionally, we present an average event-related potential analysis for one subject to offer insights into the data quality and the EEG activity caused by the error introduction. The dataset described herein is openly accessible. The aim of this study was to provide a dataset to the research community, particularly for the development of new methods in the asynchronous detection of erroneous events from the EEG. We are especially interested in the tactile and haptic-mediated recognition of errors, which has not yet been sufficiently investigated in the literature. We hope that the detailed description of the orthosis and the experiment will enable its reproduction and facilitate a systematic investigation of the influencing factors in the detection of erroneous behavior of assistive systems by a large community.

翻译：本文介绍一个包含八名受试者在主动矫形器辅助下进行右臂运动时的脑电图与肌电图记录数据集。受试者进行的运动为肘关节运动，即右臂的屈伸。在矫形器主动移动受试者手臂的过程中，会短时间故意引入若干误差，在此期间矫形器反向运动。本文阐述了实验设置，并对所有受试者呈现了行为学分析结果。此外，通过对一名受试者进行平均事件相关电位分析，我们展示了数据质量以及误差引入所引发的脑电图活动特征。本文所述数据集对外公开共享。本研究旨在为研究社区提供数据集，特别适用于开发基于脑电图进行异步错误事件检测的新方法。我们重点关注触觉与体感介导的错误识别——该领域在现有文献中尚未得到充分研究。期望通过对矫形器及实验的详尽描述，能够助力该实验的复现，并推动研究社区对辅助系统异常行为检测中影响因素的系统性研究。