Title: Hybrid Brain-Computer Interface System for Monitoring of Eclectic Performance
Publisher: Guru Nanak Publications
Series: Volume 3 Issue 1
Authors: S. Masood Ahmed and A.N. Sharma
Increasing range of analysis activities and
differing types of studies in brain-computer interface
(BCI) systems show potential during this young
analysis space. analysis groups have studied options of
various knowledge acquisition techniques, brain
activity patterns, feature extraction techniques, ways of
classifications, and lots of alternative aspects of a BCI
system. However, standard BCIs haven't become whole
applicable, thanks to the dearth of high accuracy,
responsibility, low info transfer rate, and user
acceptableness. a replacement approach to make a a lot
of reliable BCI that takes advantage of every system is
to mix 2 or a lot of BCI systems with totally brain
activity patterns or different signaling sources. this
kind of BCI, referred to as hybrid BCI, might cut back
disadvantages of every standard BCI system.
additionally, hybrid BCIs might produce a lot of
applications and probably increase the accuracy and
also the info transfer rate. However, the kind of BCIs
and their mixtures ought to be thought of fastidiously.
during this paper, when introducing many sorts of
BCIs and their mixtures, we have a tendency to review
and discuss hybrid BCIs, totally different prospects to
mix them, and their blessings and drawbacks.
BLDA, BCI, ECP, EES, ERP, ITR, MEG, NCS, PSD.