BCI in a dynamic environment
This protocol is extracted from research article:
Leaf-inspired homeostatic cellulose biosensors
Sci Adv, Apr 16, 2021; DOI: 10.1126/sciadv.abe7432

To verify the sensing ability of CSs in a dynamic environment, an experiment was conducted in which individuals performed BCI paradigms while cycling on an exercise bicycle (Iwha Sean Lee X Bike Inc., Republic of Korea). The BCI paradigm (the four-class SSVEP paradigm) involved a rest state, a cycling 1 set (20 min), and a cycling 2 set (20 min). To analyze the variation of performances of CSs as influenced by sweat, the eye open/closed paradigms were conducted in the rest state, immediately after the cycling 1 set, and immediately after the cycling 2 set.

Eight BCI naïve individuals participated in the experiment: Participants cycled, on average, 6.0 ± 1.0 km at an average speed of 9.2 ± 1.9 km/h for 40 min, and they burned approximately 193.75 ± 33.47 cal. EEG signals were measured from the CSs of six channels (FP1, FP2, Cz, Oz, O1, and O2), and the performance of CSs was quantified through impedance measurement, alpha rhythm SNR, and SSVEP classification accuracy.

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