![]() Other studies support the use of Muse to collect EEG recordings: e.g., Hashemi et al., 2016 Kovacevic et al., 2015, Karydis et al., 2015 Bashivan et al., 2016 Armanfard et al., 2016 The paper highlighted that the Muse system could be used to conduct ERP research with ease (Krigolson et al., 2017. For comparison purposes, we randomly selected the data from a matched number of participants who had performed these same two tasks while EEG data was recorded on a Brain Vision ActiChamp system with a standard 10–20 electrode configuration. The paper aimed to validate the effectiveness of Muse for ERP research, by collecting Muse EEG data while 60 participants performed both an oddball and a reward-learning task on a laptop computer. )Īnother study sought to test whether Muse could be used to quickly collect EEG data that would yield observable and quantifiable ERP components without the use of event-markers. Using Muse was associated with greater body awareness and calm, and improvements in wellbeing (Bhayee et al., 2016. Participants also completed daily post-training surveys assessing effects on mood, body awareness, calm, effort, and stress. In a randomized, active control trial, healthy adult participants carried out 6 weeks of daily practice using Muse (n = 13), or a control condition of daily online math training (n = 13).Training effects were assessed on target measures of attention and well-being. To date, only one study has explored the impacts of using Muse on well-being in an RCT. 129–136).Multiple studies have validated the use of Muse to collect EEG recordings. 15th International Conference on Cognitive Informatics Cognitive Computing (ICCI*CC) (pp. Identifying users and activities with cognitive signal processing from a wearable headband. Shedding new light on tribalism in health care. Wearable devices move toward disease treatment. Mobile phone consumption and concepts of personhood. International Journal of Communication Systems, 8, 11. Big data, big questions| This one does not go up to 11: The quantified self movement as an alternative big data practice. The impact of the digital world on management and marketing. Trends in Cognitive Sciences, 12, 163–169. Attention regulation and monitoring in meditation. Kopeć, J., Pacewicz, K., Przegalińska, A., et al. ![]() Damasevicius (Eds.), Information and software technologies (pp. Affective engagement to virtual and live lectures. Kasperiuniene, J., Jariwala, M., Vaskevicius, E., & Satkauskas, S. Academy of Management Journal, 50, 775–782. Tent poles, tribalism, and boundary spanning: The rigor-relevance debate in management research. Journal of Alternative and Complementary Medicine, 15, 593–600. Mindfulness-based stress reduction for stress management in healthy people: A review and meta-analysis. Cambridge, MA: MIT Press.Ĭhiesa, A., & Serretti, A. Positive computing: Technology for wellbeing and human potential. In New horizons in design science: Broadening the research agenda (pp. Toward a taxonomy of wearable technologies in healthcare. New York, NY: ACM.Īlrige, M., & Chatterjee, S. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. Brain-EE: Brain enjoyment evaluation using commercial EEG headband. Abujelala, M., Abellanoza, C., Sharma, A., & Makedon, F.
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