PMC:2944670 / 10461-11419 JSONTXT

{"project":"TEST0","denotations":[{"id":"20877434-200-208-475973","span":{"begin":448,"end":452},"obj":"[\"18571984\"]"},{"id":"20877434-233-241-475974","span":{"begin":490,"end":494},"obj":"[\"12899256\"]"},{"id":"20877434-230-238-475975","span":{"begin":512,"end":516},"obj":"[\"20153371\"]"},{"id":"20877434-235-243-475976","span":{"begin":590,"end":594},"obj":"[\"10192330\"]"},{"id":"20877434-232-240-475977","span":{"begin":710,"end":714},"obj":"[\"18244464\"]"},{"id":"20877434-230-238-475978","span":{"begin":734,"end":738},"obj":"[\"17475513\"]"},{"id":"20877434-189-197-475979","span":{"begin":930,"end":934},"obj":"[\"12899265\"]"},{"id":"20877434-211-219-475980","span":{"begin":952,"end":956},"obj":"[\"17399797\"]"}],"text":"The kind of switch mentioned above offers a first level of self-adaptation, in that the user can dynamically choose the best interaction channel at any time. To the best of our knowledge, this is a aspect of BCI that has not been addressed before. A second level of self-adaptation concerns the choice of the EEG phenomena that each user better controls, which can range from evoked potentials like P300 (Farwell and Donchin, 1988; Nijboer et al., 2008) or SSVEP (Sutter, 1992; Gao et al., 2003; Brunner et al., 2010) to spontaneous signals like slow cortical potentials (Birbaumer et al., 1999) and rhythmic activity (Babiloni et al., 2000; Wolpaw et al., 2000; Pfurtscheller and Neuper, 2001; Millán et al., 2002; Blankertz et al., 2007). This necessitates the development of novel training protocols to determine the optimal EEG phenomenon for each user, building upon work on psychological factors in BCI (Neumann and Kübler, 2003; Nijboer et al., 2007)."}

{"project":"0_colil","denotations":[{"id":"20877434-18571984-475973","span":{"begin":448,"end":452},"obj":"18571984"},{"id":"20877434-12899256-475974","span":{"begin":490,"end":494},"obj":"12899256"},{"id":"20877434-20153371-475975","span":{"begin":512,"end":516},"obj":"20153371"},{"id":"20877434-10192330-475976","span":{"begin":590,"end":594},"obj":"10192330"},{"id":"20877434-18244464-475977","span":{"begin":710,"end":714},"obj":"18244464"},{"id":"20877434-17475513-475978","span":{"begin":734,"end":738},"obj":"17475513"},{"id":"20877434-12899265-475979","span":{"begin":930,"end":934},"obj":"12899265"},{"id":"20877434-17399797-475980","span":{"begin":952,"end":956},"obj":"17399797"}],"text":"The kind of switch mentioned above offers a first level of self-adaptation, in that the user can dynamically choose the best interaction channel at any time. To the best of our knowledge, this is a aspect of BCI that has not been addressed before. A second level of self-adaptation concerns the choice of the EEG phenomena that each user better controls, which can range from evoked potentials like P300 (Farwell and Donchin, 1988; Nijboer et al., 2008) or SSVEP (Sutter, 1992; Gao et al., 2003; Brunner et al., 2010) to spontaneous signals like slow cortical potentials (Birbaumer et al., 1999) and rhythmic activity (Babiloni et al., 2000; Wolpaw et al., 2000; Pfurtscheller and Neuper, 2001; Millán et al., 2002; Blankertz et al., 2007). This necessitates the development of novel training protocols to determine the optimal EEG phenomenon for each user, building upon work on psychological factors in BCI (Neumann and Kübler, 2003; Nijboer et al., 2007)."}

{"project":"2_test","denotations":[{"id":"20877434-18571984-38386956","span":{"begin":448,"end":452},"obj":"18571984"},{"id":"20877434-12899256-38386957","span":{"begin":490,"end":494},"obj":"12899256"},{"id":"20877434-20153371-38386958","span":{"begin":512,"end":516},"obj":"20153371"},{"id":"20877434-10192330-38386959","span":{"begin":590,"end":594},"obj":"10192330"},{"id":"20877434-18244464-38386960","span":{"begin":710,"end":714},"obj":"18244464"},{"id":"20877434-17475513-38386961","span":{"begin":734,"end":738},"obj":"17475513"},{"id":"20877434-12899265-38386962","span":{"begin":930,"end":934},"obj":"12899265"},{"id":"20877434-17399797-38386963","span":{"begin":952,"end":956},"obj":"17399797"}],"text":"The kind of switch mentioned above offers a first level of self-adaptation, in that the user can dynamically choose the best interaction channel at any time. To the best of our knowledge, this is a aspect of BCI that has not been addressed before. A second level of self-adaptation concerns the choice of the EEG phenomena that each user better controls, which can range from evoked potentials like P300 (Farwell and Donchin, 1988; Nijboer et al., 2008) or SSVEP (Sutter, 1992; Gao et al., 2003; Brunner et al., 2010) to spontaneous signals like slow cortical potentials (Birbaumer et al., 1999) and rhythmic activity (Babiloni et al., 2000; Wolpaw et al., 2000; Pfurtscheller and Neuper, 2001; Millán et al., 2002; Blankertz et al., 2007). This necessitates the development of novel training protocols to determine the optimal EEG phenomenon for each user, building upon work on psychological factors in BCI (Neumann and Kübler, 2003; Nijboer et al., 2007)."}