论文标题
Dreamento：一个开放源代码的梦想工程工具箱，用于睡眠脑电图
Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
论文作者
论文摘要
我们介绍了Dreamento（Dream Engineering Toolbox），这是一种使用睡眠脑电图（EEG）可穿戴设备的开源python Python套件。 DREAMENTO的主要功能是（1）实时记录，监视，分析和感觉刺激，以及（2）在图形用户界面（GUI）中脱机的结果数据。 Dreamento实时能够（1）数据记录，可视化和导航，（2）功率光谱分析，（3）自动睡眠评分，（4）感觉刺激（视觉，听觉，触觉），（5）建立文本对语音通信，以及（6）管理自动和手动事件的注释。离线功能有助于其后处理获得的数据，具有重新格式化数据并将其与不可磨损记录的模式（例如肌电图（EMG））相结合的功能。虽然Dreamento主要是为了（清醒）的梦想开发的，但其应用可以扩展到其他睡眠研究领域，例如闭环听觉刺激和靶向记忆重新激活。
We introduce Dreamento (Dream engineering toolbox), an open-source Python package for dream engineering using sleep electroencephalography (EEG) wearables. Dreamento main functions are (1) real-time recording, monitoring, analysis, and sensory stimulation, and (2) offline post-processing of the resulting data, both in a graphical user interface (GUI). In real-time, Dreamento is capable of (1) data recording, visualization, and navigation, (2) power-spectrum analysis, (3) automatic sleep scoring, (4) sensory stimulation (visual, auditory, tactile), (5) establishing text-to-speech communication, and (6) managing annotations of automatic and manual events. The offline functions aid in post-processing the acquired data with features to reformat the wearable data and integrate it with non-wearable recorded modalities such as electromyography (EMG). While Dreamento was primarily developed for (lucid) dreaming studies, its applications can be extended to other areas of sleep research such as closed-loop auditory stimulation and targeted memory reactivation.
