Brain-computer interfaces (BCI) are systems
that make use of brain activity (as reflected by electric,
magnetic, or metabolic signals) to control external devices
such as computers, switches, wheelchairs, or
neuroprosthetic extensions. The success of this methodology
depends on the selection of methods to process the brain
signals. Before processing BCI signals, there would be
several things to be done to preprocess the data to isolate
and sanitize the signals. This helps to eliminate the
unimportant signals from the needed signal by expressing
lobe signal as variations from the overall EEG activity. In
this paper we present the commonly used Pre-processing
algorithm and their description of properties for the Brain
Computer Interface. The motive behind this review paper is
to provide the merits and demerits of the algorithm and to
provide guideline to the researchers in these fields. The
various techniques for signal enhancement or preprocessing,
feature extraction and classification are
discussed, but the review mainly focused on signals preprocessing.
Published In : IJCAT Journal Volume 2, Issue 4
Date of Publication : April 2015
Pages : 130 - 134
Figures :01
Tables : 01
Publication Link :A Review on Signal Pre-processing Techniques in
Brain Computer Interface
Abhijeet Mallick : Department of Computer Science & Engineering,
G.H.R.A.E.T, Nagpur University, India
Deepak Kapgate : Department of Computer Science & Engineering,
G.H.R.A.E.T, Nagpur University, India
Brain Computer Interface (BCI)
Electroencephalogram (EEG)
Brain Machine Interface
(BMI)
A brain computer interface (BCI) is a communications
system that enables humans to control various devices by
using control signals generated from
electroencephalographic (EEG) activity. The signal
processing components of a BCI design: (1) signal
acquisition, (2) signal pre-processing, (3) feature
extraction, (4) feature classification and (5) control
interface. The acquired signals may suffer from noise and
artifacts because of movement of subjects. But no one give
any special attention toward this signal pre-processing
process. This paper mostly concentrated on the Preprocessing.
Pre-processing algorithms are one of the most
primary factors to decide accuracy and to obtain optimal
results of BCI system. In this paper, we summarize
various signal pre-processing methods and also their
advantages and disadvantages.
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