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Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

Knierim, Michael Thomas; Berger, Christoph; Reali, Pierluigi

Abstract (englisch):

Observing brain activity in real life offers exciting possibilities like the support of physical health, mental well-being, and thought-controlled interaction modalities. The development of such applications is, however, strongly impeded by low accessibility to research-grade neural data and a lack of easy-to-use and comfortable sensors. To overcome these challenges, we present the cost-effective adaptation of concealed around-the-ear EEG electrodes (cEEGrids) to the open-source OpenBCI EEG signal acquisition platform. The system combines publicly available electronic components with 3D-printed parts, forming an easily replicable recording system for prolonged use and flexible application development. To demonstrate the system’s feasibility, experimentally induced changes in visual stimulation and mental workload are replicated. Lastly, a novel application area is investigated, the observation of flow experiences through observation of temporal Alpha power changes. Support for a link between temporal Alpha power and flow is found, indicating an efficient engagement of verbal-analytic reasoning with intensified flow levels.

DOI: 10.1080/2326263X.2021.1972633
Zitationen: 3
Zitationen: 7
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2326-2621, 2326-263X
KITopen-ID: 1000137408
Erschienen in Brain-computer interfaces
Verlag Taylor and Francis
Band 8
Heft 4
Seiten 161-179
Vorab online veröffentlicht am 15.09.2021
Nachgewiesen in Dimensions
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