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在不受控制的环境中对认知负载和生理信号进行不显眼的测量

Christoph Anders¹, Sidratul Moontaha², Samik Real³

¹University of Potsdam, Digital Engineering Faculty, Digital Health - Connected Healthcare of the Hasso Plattner Institute, Potsdam, 14482, Germany. Christoph.Anders@hpi.de.

Scientific data

|September 13, 2024

概括

消费者可穿戴设备可以使用生理信号客观地监测心理工作量. 这项研究收集了315个小时的脑电图和其他传感器数据,用于开发实时心理健康工具.

科学领域:

神经科学和生物医学工程
人与计算机的交互

背景情况:

主观的心理健康评估在日常生活中往往是不准确的.
消费级可穿戴设备提供客观的生理信号监控.
客观的工作量监测对于心理健康评估至关重要.

研究的目的:

在各种认知任务中收集一个全面的生理信号数据集.
实现实时心理健康评估工具的开发.
支持用于具有挑战性的环境和认知负载助手的信号处理研究.

主要方法:

从24名参与者收集了315小时的生理数据 (EEG,加速,EDA,PPG).
在受控和不受控制的环境中利用了四小时的认知负载范式.
任务包括办公室类活动和自我选择的工作,具有主观的工作量和压力等级 (利克特尺度,NASA-TLX).

主要成果:

在低和高的心理工作负载水平之间平衡的数据集.
包括各种不同的生理信号 (EEG,加速,皮电活动,光电图).
在结构化认知任务和现实活动中捕获的数据.

结论:

该数据集对于开发实时心理健康评估方法非常有价值.
促进对复杂,现实世界的环境的信号处理的研究.
支持创建个性化的认知负载管理助理.

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