Table 3. | 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

Table 3.

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
Table 3.

Summary of the decoding and calibration approaches used with each participant.

DOI: http://dx.doi.org/10.7554/eLife.18554.032

T6

T7

T5

Continuous decoding algorithm

ReFIT Kalman Filter (threshold crossings and HF-LFP)

ReFIT Kalman Filter

(threshold crossings)

ReFIT Kalman Filter

(threshold crossings)

Discrete decoding algorithm

Hidden Markov Model (HF-LFP)

n/a

Hidden Markov Model (threshold crossings)

Dwell time

1 s (reset on target exit)

1.5 s (cumulative)

1 s (reset on target exit)

Bias estimation

no

yes

yes

Cursor recentering

no

yes

no

Recalibration blocks

Recalibrated continuous and discrete decoders

Only updated bias estimates

Only updated bias estimates

Error attenuation in recalibration block

yes

yes

no