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Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

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DataCite Commons2023-12-18 更新2024-07-13 收录
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https://physionet.org/content/brain-wearable-monitoring/
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Inspired by advances in wearable technologies, we design and perform human- subject experiments to investigate the impacts of applying safe actuation (i.e., auditory, gustatory, and olfactory) for the purpose of regulating the cognitive arousal state and enhancing the performance state. In two separate experiments, participants are instructed to engage in a working memory task known as the _n-back_ task. To modulate their brain state, we introduce various interventions, including listening to different genres of music in the first experiment, and consuming coffee and smelling perfume in the second experiment. Employing only wearable devices for human monitoring and using safe actuation intervention are the key components of the performed experiments. This dataset contains subjects' **correct/incorrect responses** along with their **reaction times**. In these experiments, we employed two Empatica wristbands and one muse headband to collect their physiological data. The data from Empatica contains participants ' **electrodermal activity (EDA)** , ** heart rate (HR)**, ** blood volume pulses (BVP)**, ** skin surface temperature**, ** Photoplethysmography (PPG), **and 3-axis **accelerometer data.** Using a muse headband, we also collected **Electroencephalography (EEG)** signals from four sensors. By creating a dataset that addresses the current lack of publicly available data for utilizing wearable devices and safe everyday stimuli to manage internal brain states, our research enables further investigations into machine learning and system identification. It eventually paves the way for smarter work environments in the future. The ultimate goal is to develop practical and automated personalized closed-loop systems that can effectively regulate internal brain states and enhance the overall quality of life.
提供机构:
PhysioNet
创建时间:
2023-11-02
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