Automated Task Load Detection with Electroencephalography: Towards Passive Brain-Computer Interfacing in Robotic Surgery
Automated Task Load Detection with Electroencephalography: Towards Passive Brain-Computer Interfacing in Robotic Surgery
复制标题
使用脑电图进行自动任务负载检测：走向机器人手术中的被动脑机接口
DOI：
10.1142/s2424905x17500039
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Guang
中科院分区：
文献类型：
--
作者：
T. Zander;K. Shetty;R. Lorenz;D. Leff;L. R. Krol;A. Darzi;K. Gramann;Guang
自动检测手术室中外科医生的真实的当前任务负荷可以提供有用的信息，用于支持系统。例如，这样的信息可以使系统能够在检测到关键或紧张时期时自动支持外科医生，或者在外科医生从事复杂的操作并且不应该被打扰时与其他人通信。被动脑机接口（BCI）通过监测和解释通过脑电图记录的持续脑活动来推断认知和情感状态的变化。由此产生的信息然后可以用于使技术系统自动适应人类用户。到目前为止，被动BCI大多是在实验室环境中进行研究，即使它们旨在应用于现实世界的环境中。在这项研究中，被动脑机接口被用来评估任务负荷的变化，熟练的外科医生执行简单和复杂的手术训练任务。结果表明，该方法具有较好的实用性。
Automatic detection of the current task load of a surgeon in the theatre in real time could provide helpful information, to be used in supportive systems. For example, such information may enable the system to automatically support the surgeon when critical or stressful periods are detected, or to communicate to others when a surgeon is engaged in a complex maneuver and should not be disturbed. Passive brain–computer interfaces (BCI) infer changes in cognitive and affective state by monitoring and interpreting ongoing brain activity recorded via an electroencephalogram. The resulting information can then be used to automatically adapt a technological system to the human user. So far, passive BCI have mostly been investigated in laboratory settings, even though they are intended to be applied in real-world settings. In this study, a passive BCI was used to assess changes in task load of skilled surgeons performing both simple and complex surgical training tasks. Results indicate that the introduced methodo...
影响因子：
3
作者：
Makeig, Scott;Gramann, Klaus;Jung, Tzyy-Ping;Sejnowski, Terrence J.;Poizner, Howard
通讯作者：
Poizner, Howard