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2016 ; 11
(3
): e0150667
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Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information
Transfer Pathway from Human Brain to Cockroach Brain
#MMPMID26982717
Li G
; Zhang D
PLoS One
2016[]; 11
(3
): e0150667
PMID26982717
show ga
An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control
of a cyborg cockroach via human brain, was developed in this work. Steady-state
visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in
this system for recognizing human motion intention and an optimization algorithm
was proposed in SSVEP to improve online performance of the BCI. The cyborg
cockroach was developed by surgically integrating a portable microstimulator that
could generate invasive electrical nerve stimulation. Through Bluetooth
communication, specific electrical pulse trains could be triggered from the
microstimulator by BCI commands and were sent through the antenna nerve to
stimulate the brain of cockroach. Serial experiments were designed and conducted
to test overall performance of the BTBS with six human subjects and three
cockroaches. The experimental results showed that the online classification
accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the
optimization algorithm and the mean response accuracy of the cyborgs using this
system reached 89.5%. Moreover, the results also showed that the cyborg could be
navigated by the human brain to complete walking along an S-shape track with the
success rate of about 20%, suggesting the proposed BTBS established a feasible
functional information transfer pathway from the human brain to the cockroach
brain.