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EXPLORATORY STUDY OF THE HEART RATE VARIABILITY DURING THE USER-SYSTEM ADAPTATION IN A BCI

机译:BCI中用户系统适应期间心率变异性的探索性研究

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摘要

Regardless of the considerable advances towards an optimal brain-computer interface (BCI), this remains inaccurate, unreliable and slow [1]. As a result, the use of other electrophysiological signals have been proposed. For the improvement of motor imagery (MI) based BCIs, the use of the heart rate variability (HRV) has been proposed being that MI activates vegetative mechanisms. This study set out with the aim of answering the following question: Is HRV significantly modified by MI-related control tasks, in comparison with other sensory-cognitive tasks which a BCI user must deal with? For this purpose, time and frequency domain parameters of the HRV estimated from eleven participants, who exposed to nine scenarios with different levels of difficulty, were analysed. Despite its exploratory and interpretative nature, this study offers some insight into the HRV throughout the user-system adaptation of a MI-based BCI system, raising two points: (1) HRV is not only subject to MI activity, but also to other sensory-cognitive tasks undertaken in the course of the brain-computer adaptation process, and (2) we consider that heart rate can be more useful to detect the cognitive state of the BCI user, than to improve the BCI performance as a discriminatory parameter.
机译:尽管在优化脑机接口(BCI)方面取得了长足的进步,但这仍然是不准确,不可靠和缓慢的[1]。结果,已经提出使用其他电生理信号。为了改善基于运动图像(MI)的BCI,已提出使用心率变异性(HRV)是因为MI激活了植物生长机制。这项研究的目的是回答以下问题:与BCI用户必须处理的其他感官认知任务相比,MI相关的控制任务是否显着改善了HRV?为了这个目的,分析了从暴露于9种不同难度水平的场景的11名参与者估计的HRV的时域和频域参数。尽管具有探索性和解释性,本研究还是对基于MI的BCI系统的整个用户系统适应过程中的HRV提供了一些见解,提出了两点:(1)HRV不仅受MI活动的影响,而且还受其他感觉的影响-在脑-计算机适应过程中进行的认知任务,以及(2)我们认为,心率对检测BCI用户的认知状态可能比改善BCI作为区分参数的性能更有用。

著录项

  • 来源
    《Biomedical Engineering》|2016年|220-227|共8页
  • 会议地点 Innsbruck(AT)
  • 作者单位

    Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey – Campus Ciudad de México, Calle del Puente No. 222 Col. Ejidos de Huipulco, Tlalpan C.P. 14380, Mexico City, Mexico lm.aloval@itesm.mx;

    Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional (IPN), Av. IPN No. 2580 Col. Barrio La Laguna Ticomán Gustavo A. Madero C.P. 07340, Mexico City, Mexico dgutierrezb@ipn.mx;

    BCI Group, School of Computer Science and Electronic Engineering, University of Essex Wivenhoe Park – Colchester, Essex CO4 3SQ, United Kingdom fsepulv@essex.ac.uk;

    Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey – Campus Ciudad de México, Calle del Puente No. 222 Col. Ejidos de Huipulco, Tlalpan C.P. 14380, Mexico City, Mexico ricardo.ramirez@itesm.mx;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Brain-Computer Interface; Motor Imagery; Heart Rate Variability; NN Intervals; Frequency Components;

    机译:脑机接口;;运动图像;;心率变异性;;神经网络间隔;;频率分量;

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