CLASSIFICATION OF EEG SIGNAL DATA USING HYBRID OF NEURO-FUZZY
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 5
Abstract
Brain Computing interface technology represents a very highly growing field now-a-days for the research because of its unique applications system. In this paper we investigate classification methods of mental commands based on EEG data for BCI. The aim of this study is to present the work of training an artificial neural network (ANN) and Neuro-Fuzzy system provided with the data of a few healthy people who are in different mental states thinking about different activities like eating, walking or sleeping etc. It creates a mutual understanding between mind wave signals and the machine or surrounding system. In recent years’ applications based on the brain computing interface have gained a rather huge popularity because of its benefits like providing disabled people with a communication and control environment along with different types of movement restorations. It is proving to be revolutionary in the fields of medical and robotics, mind reading and remote communication etc. This paper puts forward the idea of using a classification algorithm based on a new hybrid approach using neural networks and fuzzy logic that can collectively detect and recognize the state of mind. The EEG brain signals tend to change as our mind state changes because of the voltage fluctuations resulting from the ionic currents in the neurons of the Brain. Features are extracted from the raw electroencephalography (EEG) data using data processing technique PPCA (probabilistic principle component analysis) and are fed to the classifier. The features extracted have been used to train the neural network by using the MATLAB toolbox (Bronzino, J. D. 2010). The work carried out here is to be later on compared with the outputs generated by using just a neural networks based classification algorithm.
Authors and Affiliations
Pratibha Rana*,
Keywords
Related Articles
- EP ID EP154131
- DOI 10.5281/zenodo.51017
- Views 51
- Downloads 0
On Regular Difilters in Ditopological Texture Spaces
The focus of this paper is to introduce the new spaces namely - door spaces, - irreducible,-Hyperconnectedness which are used to define Regular difilters in di- topological texture spaces. Here we analyze the proper...
SURVEY ON DIFFERENT STEGANOGRAPHY TECHNIQUES
The paper describes short survey on different steganography techniques for an image in spatial and transform domains and steganalysis techniques for hide the secret message. The strong and weak points of these tec...
QUALITY FUNCTION DEPLOYMENT IN THE DESIGN OF CUSTOM MADE FURNACES
QFD has been used effectively by various companies as a planning methodology. The main advantage of the QFD is that it shortens products development time, increase products quality, reduce cost and meet the requirements...
http://www.ijesrt.com/issues%20pdf%20file/Archives-2014/February-2014/94.pdf
The suspension of magnetic particles in nematic liquid crystals (NLCs), usually called ferronematic (FN). The FN studied in this work are E7 doped with small compositional percentage of spherical Fe O43 nps was...
Reduced Complexity Wallace Multiplier using Parallel Prefix Adders
The design of an area reduced and power substantial areas of research in VLSI system design. In digital adders, the speed of addition is limited by the time required to propagate a carry through the adder. It wor...