Call for Paper - November 2019 Edition
IJCA solicits original research papers for the November 2019 Edition. Last date of manuscript submission is October 21, 2019. Read More

A Review: EEG Signal Analysis With Different Methodologies

Print
PDF
IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)
© 2012 by IJCA Journal
ncipet - Number 6
Year of Publication: 2012
Authors:
S.A.Taywade
R.D.Raut

S.A.Taywade and R.D.Raut. Article: A Review: EEG Signal Analysis With Different Methodologies. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) ncipet(6):29-31, March 2012. Full text available. BibTeX

@article{key:article,
	author = {S.A.Taywade and R.D.Raut},
	title = {Article: A Review: EEG Signal Analysis With Different Methodologies},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)},
	year = {2012},
	volume = {ncipet},
	number = {6},
	pages = {29-31},
	month = {March},
	note = {Full text available}
}

Abstract

The encephalography has undergone massive progress during 100’s of year. The existence of electrical currents in the brain was discovered in 1875 by an English physician Richard Caton. In 1924 Hans Berger, a German neurologist, used ordinary radio equipment to amplify the brain's electrical activity measured on the human scalp. The electroencephalogram (EEG) is defined as electrical activity of an alternating type recorded from the scalp surface after being picked up by metal electrodes and conductive media [2]. Electroencephalography (EEG) is the recording electrical activity of the brain, which is obtained by firing of neurons within the brain. The Research applications are. EEG signals in neuroscience, in cognitive science, EEG signals can be used for the psycho physiological research and EEG signals can be used for the study of the responses to auditory stimuli.

References

  • J.D.Bronzino.1995.Principle of Electroencephalography. InJ.DBronzinoed.TheBiomedicalEngeneering Handbook, pp. 201-212, CRC Press, Florida.
  • Saeid Sanei and J.A. Chambers, EEG Signal Processing, John Wiley & Sons Ltd, England, 2007.
  • Attwood, H. L., and MacKay, W. A., Essentials of Neurophysiology, B. Decker, Hamilton, Canada,1989.
  • Jasper, H., „Report of committee on methods of clinical exam in EEG?, Electroencephalogram Clin. Neurophysiology. vol. 10, 1958, 370–375.
  • Niedermeyer, E., “The normal EEG of the waking adult”, Chapter 10, in Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, Eds E. Niedermeyer and F. Lopes da Silva, 4th ed, Lippincott, Williams and Wilkins, Philadelphia, Pennsylvania, 1999, 174–188.
  • Sterman, M. B., MacDonald, L. R., and Stone, R. K.Biofeedback training of sensor motor EEG in man and its effect on epilepsy?, Epilepsies, 15, 1974, 395–416.
  • Ashwal, S., and Rust, R., „Child neurology in the 20th century?, Pedia. Res., 53, 2003, 345–361.
  • Pfurtscheller G, Flotzinger, D., and Neuper, C., “Differentiation between finger, toe and tongue movement in man based on 40 Hz EEG”, Electroencephalogram. Clin. Neurophysiol. vol.90, 1994, 456–460.
  • Easwaramoorthy & R. Uthayakumar,IEEE2010.Analysis of Biomedical EEG Signals using Wavelet Transforms and multiultifractal Analysis”
  • Agata Warwoka,IEEE2011.Methods of EEG signal analysis
  • Prof. Ramaraju & Dr. Malleshwar,IEEE2011.Relevance of wavelet transform of EEG signals
  • A.Khoshidtalab international conference IEEE2011EEG signal classification for real time brain computer interface application: A review.
  • Xiaover,IEEE2011,EEG based Attention based recognition
  • ShinyinTsens, Sciencedirect, Vol.17.Jan.1995. Evaluation of parametric methods in EEG signal analysis
  • Xiaoveri, IEEE2011EEGLAB software for brain computer interface.