一种基于小波的眼伪影校正的脑电图去噪技术毕业论文外文翻译精品.docxVIP

A WAVELET BASED DE-NOISING TECHNIQUE FOR OCULAR ARTIFACT CORRECTION OF THE ELECTROENCEPHALOGRAM Tatjana Zikov, St phane Bibian, Guy A. Dumont, Mihai Huzmezan Department of Electrical and Computer Engineering, the University of British Columbia, BC, CANADA. Abstract - This paper investigates a wavelet based denoising of the electroencephalogram (EEG) signal to correct for the presence of the ocular artifact (OA).The proposed technique is based on an over-complete wavelet expansion of the EEG as follows: i) a stationary wavelet transform (SWT) is applied to the corrupted EEG; ii) the thresholding of the coefficients in the lower frequency bandsis performed; iii) the de-noised signal is reconstructed. This paper demonstrates the potential of the proposed technique for successful OA correction. The advantage over conventional methods is that there is no need for the recording of the electrooculogram (EOG) signal itself. The approach works both for eye blinks and eye movements. Hence, there is no need to discriminate between different artifacts. To allow for a proper comparison, the contaminated EEG signals as well as the corrected signals are presented together with their corresponding power spectra. Keywords-stationary wavelet transform (SWT), electroencephalogram (EEG), ele ctrooculogram (EOG), ocular artifact (OA). INTRODUCTION The electroencephalogram(EEG) gives researchersa non-invasive insight into the intricacy of the human brain. It is a valuable tool for clinicians in numerous applications, from the diagnosis of neurological disorders, to the clinical monitoring of depth of anesthesia.For awake healthy subject, normal EEG amplitude is in the order of 20-50 VThe EEG is very susceptible to various artifacts, causing problems for analysis and interpretation. In current data acquisition, eye movement and blink related artifacts are often dominant over other electrophysiological contaminating signals (e.g. heart and muscle activity, head and body movements), as well