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Evaluation of performance and heart rate variability during intensive usage of a BCI-controlled hand exoskeleton

机译:大量使用BCI控制的手外骨骼时的性能和心率变异性评估

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Brain-computer interfaces (BCI) in combination with assistive robotic devices, such as wearable robotics, has the potential of augmenting the capabilities of disabled people to carry out activities of daily living with success. To improve applicability of such systems, workload and stress should be reduced to a minimal level. In this paper, the degradation of the performance of EEG hand-exoskeleton control with the exhaustive use of the interfaces is analysed through the monitoring of user’s physiological reactions. Eleven BCI-naive volunteers participated in the study. The participants performed several open/close hand motor imagery trials for 6 minutes. After completing the task, both the NASA TLX questionnaire and self-assessment manikin (SAM) were submitted to the user. The results broadly suggest that there are significant differences (p-value<0.05) in heart rate variability (HRV) changes between subjects that showed good and poor performance using the BNCI. In addition, these objectives results are corroborate with the results of subject’s workload perception and emotional responses assessed through NASA-TLX questionnaires and Self-Assessment Manikin (SAM) respectively. Our main finding is that the subjects’ performance using a BCI-controlled hand exoskeleton produce physiological reactions in that subjects.
机译:脑计算机接口(BCI)与辅助机器人设备(例如可穿戴机器人)结合使用,具有增强残疾人成功开展日常生活活动的能力的潜力。为了提高此类系统的适用性,应将工作量和压力降低到最低水平。在本文中,通过监视用户的生理反应,分析了由于大量使用界面而导致的EEG手外骨骼控制性能下降的情况。 11位BCI天真的志愿者参加了这项研究。参与者进行了6分钟的几次开/关手部运动图像试验。完成任务后,NASA TLX问卷和自我评估模型(SAM)均已提交给用户。结果广泛表明,使用BNCI表现良好的受试者之间,心率变异性(HRV)的变化存在显着差异(p值<0.05)。此外,这些目标结果与分别通过NASA-TLX问卷和自我评估模型(SAM)评估受试者的工作量感知和情绪反应的结果相符。我们的主要发现是受测者使用BCI控制的手外骨骼的表现会在该受测者中产生生理反应。

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