Figure 3—figure supplement 1. | High performance communication by people with paralysis using an intracortical brain-computer interface

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High performance communication by people with paralysis using an intracortical brain-computer interface

Figure 3—figure supplement 1.

Affiliation details

Stanford University, United States; Emory University and Georgia Institute of Technology, United States; Emory University, United States; Massachusetts General Hospital, United States; Brown University, United States; Rehabilitation R&D Service, Department of VA Medical Center, United States; Case Western Reserve University, United States; Louis Stokes VA Medical Center, United States; Harvard Medical School, United States
Figure 3—figure supplement 1.
Download figureOpen in new tabFigure 3—figure supplement 1. Performance of the HMM-based classifier during grid tasks with participants T6 and T5.

This figure replicates the analysis from Kim et al., 2011 (Kim et al., 2011) (Figure 5), which demonstrated the previous best discrete selection algorithm for a communication BCI. (a) Performance of the HMM for participant T6. The panel on the left shows all the clicks that occurred in the grid task across 5 days of quantitative performance evaluations. Each dot plots the position of a click relative to the center of the cued target (blue - correct click, red - false click), and the green square shows the size of a single grid target. The right panel shows a histogram of the distance between click location and the center of the target for all clicks. T6 clicked on the correct target 92.6% of the time (1007/1087 total clicks). (b) Performance of the HMM for participant T7 in the grid task over 4 days of quantitative performance evaluations. T5 clicked on the correct target 97.7% of the time (2325/2379 total clicks). As shown, for both participants, when incorrect clicks did occur, they primarily occurred close to the edge of the desired target.

DOI: http://dx.doi.org/10.7554/eLife.18554.019