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Bansal, Pansy (2004) SIMULATION AND EXTRACTION OF SINGLE TRIAL EVOKED POTENTIAL. Master's Thesis, University of Pittsburgh. (Unpublished)

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Evoked potentials are defined as potentials that are caused by the electrical activity in the central nervous system after a stimulation .In analysis of evoked potentials the main problem is to extract waveform from the measurements that also contain on-going background electroencephalogram (EEG).The most conventional tool for the analysis of evoked potentials has been the averaging of the measurements over an ensemble of trials. This is the optimal way to improve the signal-to-noise ratio when the evoked potential is a deterministic signal in independent and additive background noise of zero mean. However it is evident that the evoked potential can vary with repetitions of the stimuli.There are two aims of this thesis .The first is to develop a new simulation method for evoked potentials with slow variations among different trials. The second aim is to develop a new method to extract the variations occurring in a number of time-aligned trials. These variations are then added to the mean of the measurements to reconstruct the single trial evoked potentials.The extraction method has been evaluated using both simulated data and real measurements with satisfactory results.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Bansal, Pansypab8@pitt.eduPAB8
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairSclabassi,
Committee MemberLi, Ching-Chungccl@ee.pitt.eduCCL
Committee MemberSimaan, Marwan Asimaan@engr.pitt.eduSIMAAN
Committee MemberSun, Minguimrsun@neuronet.pitt.eduDRSUN
Date: 9 June 2004
Date Type: Completion
Defense Date: 15 April 2004
Approval Date: 9 June 2004
Submission Date: 15 April 2004
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: MSEE - Master of Science in Electrical Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: 2-dimensional Gaussian filter; EEG; evoked potential; extraction; moving wondow average; simulation; single trial
Other ID:, etd-04152004-232920
Date Deposited: 10 Nov 2011 19:37
Last Modified: 15 Nov 2016 13:40


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