Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
Esfahani, Mahdad Jafarzadeh, Daraie, Amir Hossein, Zerr, Paul, Weber, Frederik D., Dresler, Martin
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jan-2-2023
- Country:
- Europe
- Bulgaria > Sofia City Province
- Sofia (0.04)
- Germany (0.04)
- Netherlands
- Gelderland > Nijmegen (0.04)
- North Holland > Amsterdam (0.04)
- Bulgaria > Sofia City Province
- North America > United States
- Maryland > Baltimore (0.04)
- Massachusetts > Middlesex County
- Natick (0.04)
- Europe
- Genre:
- Research Report (1.00)
- Industry:
- Health & Medicine
- Diagnostic Medicine (1.00)
- Health Care Technology (1.00)
- Therapeutic Area
- Cardiology/Vascular Diseases (0.66)
- Sleep (0.93)
- Health & Medicine
- Technology: