DocumentCode :
588865
Title :
Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection
Author :
Tanskanen, J.M.A. ; Gao, X.Z. ; Wang, Jiacheng ; Ping Guo ; Hyttinen, J.A.K. ; Dimitrov, Vassil S.
Author_Institution :
Dept. of Biomed. Eng., Tampere Univ. of Technol., Tampere, Finland
fYear :
2012
fDate :
17-18 Nov. 2012
Firstpage :
112
Lastpage :
116
Abstract :
In this paper, we experimentally evaluate three different averaging methods for processing of electroencephalogram (EEG) event related potentials (ERPs) measured from scalp in response to repeated stimulus. In ERP applications, arithmetic mean (AM) is normally employed in processing the ERPs prior to ERP detection, whereas also other averaging methods might have beneficial properties. Fast ERP detection is essential, for example, in brain computer interfaces and during spine surgery. Thus, it is of interest to search for methods to aid in detecting ERPs with as few stimulus repetitions as possible. Here, noise reduction properties of AM, geometric mean (GM), and harmonic mean (HM) are demonstrated with simulations, and ERP processing by the three methods is illustrated by processing real visual evoked potentials (VEPs).
Keywords :
electroencephalography; medical signal detection; visual evoked potentials; EEG event related potential detection; ERP detection; VEP; arithmetic mean; averaging methods; brain computer interfaces; electroencephalogram event related potential processing; geometric mean; harmonic mean; noise reduction properties; spine surgery; stimulus repetitions; visual evoked potentials; Educational institutions; Electrodes; Electroencephalography; Gaussian noise; Harmonic analysis; Visualization; EEG; ERP; arithmetic mean; averaging; electroencephalogram; ensemble averaging; event related potential; geometric mean; harmonic mean; medical signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
Type :
conf
DOI :
10.1109/CIS.2012.33
Filename :
6405878
Link To Document :
بازگشت