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A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials

Yusoff, Mohd Zuki and Nidal S., Kamel (2011) A Subspace Approach with Pre-whitening for Measurements of Latencies in Visual Evoked Potentials. In: the 3rd International Conference on Intelligent and Advanced Systems (ICIAS 2010), June 15-17, 2010, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia.

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Abstract

Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very lowas low as -10 dB. Visual evoked potentials are conventionally extracted from the spontaneous brain activity by collecting a series of time-locked electroencephalogram (EEG) epochs and performing multi-trial ensemble averaging on these samples to improve the SNR. Alternatively, a VEP estimation scheme based on a single VEP trial can be developed to reduce VEP recording time and minimize fatigue on subjects. In this paper, a subspace approach with pre-whitening (SAPW) has been proposed to estimate a single-trial VEP's P100 latency from colored EEG noise. The proposed method decomposes and decorrelates the corrupted VEP space into signal and noise subspace; VEP enhancement is achieved by removing the noise subspace and estimating the clean VEP only from the signal subspace. Since EEG is colored noise, explicit pre-whitening of the corrupted VEP waveform is performed in the proposed algorithm, to resolve diagonalization problems and achieve full VEP space decorrelation. The performance of SAPW in estimating VEP latencies has been assessed using simulated data at SNR ranging from 0 to -11 dB, and real patient data gathered in a hospital. The proposed SAPW estimator produces reasonably low failure rates and low average errors in both experiments.

Item Type:Conference or Workshop Item (Speech)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:3894
Deposited By: Dr Mohd Zuki Yusoff
Deposited On:18 Mar 2011 04:07
Last Modified:19 Jan 2017 08:22

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