[1]
E. J Appelgate, the anatomy and physiology learning system. 1sted. USA:W.B. Sounders Company, (1995).
Google Scholar
[2]
R. Dilmaghani, Design and Implementation of a Wireless MultiChannel EEG Recording. King's College London, Department of Electronic Engineering, Strand, London, WC2R 2LS, (2010).
DOI: 10.47886/9781888569964.ch17
Google Scholar
[3]
J. J. Carr and J. M. Brown, Introduction to Biomedical Equipment Technology, 4th ed. New Jersey, USA: Prentice Hall, (2001).
Google Scholar
[4]
M. Teplan, Fundamentals of EEG Measurement., Measurement Science Review, Vol. 2, No. 2, pp.1-11, (2002).
Google Scholar
[5]
A. Sanei, and J.A. Chambers, EEG Signal Processing. UK: John Wiley and Sons, Ltd, (2007).
Google Scholar
[6]
Hosna Ghandeharion, H. ahmadi-Noubari, Detection and Removal of Ocular Artifacts using Independent Component Analysis and Wavelets, IEEE EMBS Conference on Neural Engineering Antalya, Turkey, (2009).
DOI: 10.1109/ner.2009.5109381
Google Scholar
[7]
E. Niedermeyer, F. H. Lopes da Silva. Electroencephalography: Basic principles, clinical applications and related fields, 3rd edition, Lippincott, Williams & Wilkins, Philadelphia, (1993).
Google Scholar
[8]
Narayanan Srinivasan. Cognitive neuroscience of creativity: EEG based approaches, Centre for Behavioral and Cognitive Sciences, University of Allahabad, Allahabad 211002, India, (2006).
DOI: 10.6026/97320630010449
Google Scholar
[9]
http: /en. wikipedia. org/wiki/Energy_(signal_processing).
Google Scholar
[10]
G.R. Arce, Nonlinear Signal Processing: A Statistical Approach, Wiley: New Jersey, USA, (2005).
Google Scholar