ANALYSIS OF APPLIED REFERENCE LEADS INFLUENCE ON AN EEG SPECTRUM

Małgorzata Plechawska-Wójcik

m.plechawska@pollub.pl
Lublin University of Technology, Institute of Computer Science (Poland)

Kinga Wesołowska


Lublin University of Technology, Faculty of Mechanical Engineering (Poland)

Martyna Wawrzyk


Lublin University of Technology, Faculty of Mechanical Engineering (Poland)

Monika Kaczorowska


Lublin University of Technology, Institute of Computer Science (Poland)

Mikhail Tokovarov


Lublin University of Technology, Institute of Computer Science (Poland)

Abstract

The article presents the analysis of various kinds of montage applied in the analysis of electroencephalographic data. The present study covers analysis of data obtained as a result of EEG examination of several persons with the age of 23–24 years. Every person has undergone an examination with appliance of 21 electrodes in accordance with classic EEG record method applying the 10–20 system. The examined persons were asked to perform the following activities: sitting steadily with opened eyes, sitting steadily with closed eyes as well as typical cognitive activity i.e. silent reading of given text. Every fragment has been subjected to initial data analysis (filtering, artifact correction) and used for spectral analysis afterwards. The whole analysis has been realized on the basis of four EEG montage examples (two bipolar and two monopolar). For each of them comparative analysis concerning the following points has been carried out: EEG spectra as well as other measures, such as activity maps, diffraction histograms for separate waves and spectrum charts for the selected electrodes.


Keywords:

electroencephalography, EEG spectra, EEG montage

Adeli H., Ghosh-Dastidar S., Dadmehr N.: A wavelet chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans. Biomedical Eng. 54(2)/2007, 205–211.
  Google Scholar

Automated Neural Network Detection of EEG Spikes. IEEE Engineering in Medicine and Biology[J], (3/4)/1995, 0739–5175.
  Google Scholar

Atcherson S. R., Gould H. J., Pousson M.A., Prout T. M.: Variability of electrode positions using electrode caps. Brain Topogr. 20/2007, 105–111.
  Google Scholar

Cunnington R., Iansek R., Bradshaw J. L., Phillips, J. G.: Movement-related potentials associated with movement preparation and motor imagery. Experimental brain research 111(3)/1996, 429–436.
  Google Scholar

Croft R., Barry R.: EOG correction: a new perspective. Electroencephalogr. Clin. Neurophysiol. 107/1998, 387–394.
  Google Scholar

De Weerd A. W., Despland P.A., Plouin P.: Neonatal EEG. The international federation of clinical neurophysiology. Electroencephalogr Clin Neurophysiol Suppl. 52/1999, 149–157.
  Google Scholar

Farwell L. A., Donchin E.: Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and clinical Neurophysiology 70(6)/1988, 510–523.
  Google Scholar

Joyce C., Gorodnitsky I., Kutas M.: Automatic removal of eye movement and blink artifacts from eeg data using blind component separation. Psychophysiology 41/2004, 313–325.
  Google Scholar

Kulaichev A. P.: Optimal choice of a reference electrode for EEG recording. Moscow University Biological Sciences Bulletin 71(3)/2016, 145–150.
  Google Scholar

Mak, J. N., Wolpaw, J. R.: Clinical applications of brain-computer interfaces: current state and future prospects. Biomedical Engineering, IEEE Reviews 2/2009, 187–199.
  Google Scholar

Miller K., Halpern C.: Stereotactic Bony Trajectory Preservation for Responsive Neurostimulator Lead Placement Following Depth EEG Recording. Cureus 8(3)/2016.
  Google Scholar

Ng S. C., Raveendran, P.: Comparison of different Montages on to EEG classification. In 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, Springer Berlin Heidelberg, 365–368.
  Google Scholar

Patel R., Gireesan K., Sengottuvel S., Janawadkar M. P., Radhakrishnan T. S.: Common Methodology for Cardiac and Ocular Artifact Suppression from EEG Recordings by Combining Ensemble Empirical Mode Decomposition with Regression Approach. Journal of Medical and Biological Engineering 2017, 1–8.
  Google Scholar

Pfurtscheller G., Neuper C.: Motor imagery and direct brain-computer communication. Proceedings of the IEEE 89(7)/2001, 1123–1134.
  Google Scholar

Stasinski R.: Radix-K FFT's using K-point convolutions. IEEE Transactions Signal Processing 42/1994, 743–750.
  Google Scholar

Tanner A. E., Särkelä M. O., Virtanen J., Viertiö-Oja H. E., Sharpe M. D., Norton L., Young G. B.: Application of subhairline EEG montage in intensive care unit: comparison with full montage. Journal of Clinical Neurophysiology 31(3)/2014, 181–186.
  Google Scholar

Tokariev A., Sampsa V., Palva J.: Analysis of infant cortical synchrony is constrained by the number of recording electrodes and the recording montage. Clinical Neurophysiology 127(1)/2016, 310–323.
  Google Scholar

Trambaiolli L. R., Lorena A. C., Fraga F. J., Kanda P. A. M. K., Nitrini R., Anghinah R.: Does EEG montage influence Alzheimer's disease electroclinic diagnosis? International Journal of Alzheimer’s Disease, 2011.
  Google Scholar

Download


Published
2017-06-30

Cited by

Plechawska-Wójcik, M. ., Wesołowska, K. ., Wawrzyk, M., Kaczorowska, M. ., & Tokovarov, M. . (2017). ANALYSIS OF APPLIED REFERENCE LEADS INFLUENCE ON AN EEG SPECTRUM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(2), 44–49. https://doi.org/10.5604/01.3001.0010.4837

Authors

Małgorzata Plechawska-Wójcik 
m.plechawska@pollub.pl
Lublin University of Technology, Institute of Computer Science Poland

Authors

Kinga Wesołowska 

Lublin University of Technology, Faculty of Mechanical Engineering Poland

Authors

Martyna Wawrzyk 

Lublin University of Technology, Faculty of Mechanical Engineering Poland

Authors

Monika Kaczorowska 

Lublin University of Technology, Institute of Computer Science Poland

Authors

Mikhail Tokovarov 

Lublin University of Technology, Institute of Computer Science Poland

Statistics

Abstract views: 264
PDF downloads: 116