2021
DOI: 10.1007/978-3-030-78114-9_1
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Distributed Remote EEG Data Collection for NeuroIS Research: A Methodological Framework

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Cited by 4 publications
(2 citation statements)
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“…In the context of a global pandemic, Demazure et al (2021) creatively devised a way of conducting remote EEG data collection that increases the ecological validity, although at the cost of some internal validity. Their framework, which includes thorough training, guides this remote data collection.…”
Section: Designing a Research Program With Complementary Neurophysiol...mentioning
confidence: 99%
“…In the context of a global pandemic, Demazure et al (2021) creatively devised a way of conducting remote EEG data collection that increases the ecological validity, although at the cost of some internal validity. Their framework, which includes thorough training, guides this remote data collection.…”
Section: Designing a Research Program With Complementary Neurophysiol...mentioning
confidence: 99%
“…In such a scenario, the platform advises the participants to adjust the Muse fitting to improve the connection and to go through the signal quality check once again. Additionally, guarantee good data quality for remote EEG data collection, we have adopted most of the experimental infrastructure recommendations, such as using a low-density, consumer-grade, wireless, dry EEG device (Muse), using API for EEG data acquisition along with open-source software for time-synchronization and stimuli presentation (MuseLSL + native experiment design) suggested by Demazure et al [17].As Musejs only gives access to the raw signals coming from Muse, we apply additional processing to it to ensure that each timestamp is accompanied by its corresponding data value. The processing also helps in ensuring that the Muse maximum sampling rate of 256Hz is utilized.…”
Section: Solution For Ensuring the Eeg Data Obtained From The Platfor...mentioning
confidence: 99%