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Brain–Computer Interfaces - Index of

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230 J.E. Huggins<br />

6 Past and Present ECoG Research for BCI<br />

Although human ECoG has been used for scientific study <strong>of</strong> brain function and neurological<br />

disorders since at least the 1960s [e.g. [18]], its use for BCI research was<br />

almost nonexistent prior to the 1990s. The earliest BCI researchers either worked<br />

with animals to develop tools for recording the activity <strong>of</strong> individual neurons (e.g.,<br />

[16, 19]) or worked with human EEG (e.g.[20, 21]).<br />

6.1 ECoG Animal Research<br />

The first ECoG studies for BCI development were reported in 1972 by Brindley<br />

and Craggs [22, 23] who studied the signals from epidural [22] electrode arrays<br />

implanted over the baboon motor cortex [22, 23]. ECoG was bandpass filtered to<br />

80–250 Hz and the mean square <strong>of</strong> the signal calculated to produce a characteristic<br />

signal shape preceding specific movements that was localized over arm or leg motor<br />

cortex. A simple threshold detector was applied to this feature, generating prediction<br />

accuracy as high as 90%.<br />

6.2 Human ECoG Studies<br />

6.2.1 Smith-Kettlewell Eye Research Institute<br />

The first human BCI work using ECoG was reported in 1989 by Sutter [8, 24].<br />

Epidurally implanted electrodes over visual cortex provided the input to a corticallybased<br />

eyegaze tracking system. The system was developed and tested using visual<br />

evoked potentials (VEP) in EEG. However, implanted electrodes were used when a<br />

subject with ALS had difficulty with artifact due to uncontrolled muscle activity and<br />

signal variations due to variable electrode placement by caregivers. Subjects viewed<br />

a grid <strong>of</strong> 64 flickering blocks. The block at the center <strong>of</strong> the subject’s field <strong>of</strong> vision<br />

could be identified because the lag between stimulus and VEP onset was known.<br />

While this interface did not claim to be operable without physical movement, and is<br />

therefore not a “true” BCI, it did demonstrate the use <strong>of</strong> large intracranial electrodes<br />

as the signal source for an assistive technology interface.<br />

6.2.2 The University <strong>of</strong> Michigan – Ann Arbor (Levine and Huggins)<br />

Levine and Huggins’ UM-DBI project was the first targeted exploration <strong>of</strong> human<br />

ECoG for BCI development [3, 25, 26]. The UM-DBI project recorded from their<br />

first subject on the 27th July 1994. The UM-DBI project has focused on the detection<br />

<strong>of</strong> actions in a continuous segment <strong>of</strong> ECoG data during which subjects repeated<br />

actions at their own pace. ECoG related to actual movement has been used almost<br />

exclusively to allow good documentation <strong>of</strong> the time at which the subject chose to<br />

do the action.

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