SOURCE RECORD / S0159
基于平均负 theta 频带振幅的被动脑机接口评估不同认知任务的精神负荷
Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes.
- 作者或机构
- Gallegos Ayala et al.
- 发布日期
- 2023
- 来源类型
- peer_reviewed_human_study
- 技术路线
- noninvasive EEG
- 功能场景
- mental workload adaptive HCI
- 权利状态
- manual_review / CC BY (version unspecified)
证据摘要
证据支持：个体内校准的工作负荷分类。关键数字：高负荷对低负荷为 57.04%，未高于随机水平；全局选择 6 channels；低负荷对无负荷表现更好。局限：不是跨受试者研究；在全部人员和任务上全局选通道会污染评估；不能支持通用工作负荷识别。
关键数字
high versus low 57.04% not above chance; 6 channels selected globally; low versus no load performed better
局限
Not cross-subject; global channel selection across all people and tasks contaminates evaluation; cannot support general workload recognition