2013
DOI: 10.1016/j.bspc.2013.08.004
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EMD-based EEG signal enhancement for auditory evoked potential recovery under high stimulus-rate paradigm

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Cited by 16 publications
(16 citation statements)
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References 29 publications
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“…For different values of parameters a and b different deformations of the time axis were caused and different final forms of these signals were obtained. To show precisely relation between shape function (34) and the constructed signals, only their parts corresponding to t ∈ (0, 1] are presented, but obviously, according to formula (36), the generated signals extend beyond this time interval.…”
Section: Test Signalsmentioning
confidence: 99%
See 2 more Smart Citations
“…For different values of parameters a and b different deformations of the time axis were caused and different final forms of these signals were obtained. To show precisely relation between shape function (34) and the constructed signals, only their parts corresponding to t ∈ (0, 1] are presented, but obviously, according to formula (36), the generated signals extend beyond this time interval.…”
Section: Test Signalsmentioning
confidence: 99%
“…. ., N s + 100, (36) where parameter a specifies the number of time samples within the interval (0, 1] and N s > a is the number of samples of the main part of the signal (which undergoes time warping). With the assumed sampling rate of 500 Hz and N s = 400, we obtained signals of 0.8 s length (plus the preceding and succeeding parts of 0.2 s).…”
Section: Test Signalsmentioning
confidence: 99%
See 1 more Smart Citation
“…This commonly used technique was in line with our present experimental paradigm since we are using 250 ms stimulus duration with long interstimulus intervals (800±200 ms). To resolve the issue of deconvolution (inverse filtering), the standard stimulus which emerged immediately after the deviant stimulus, were excluded from the data analysis (Korczak & Stapells 2010;Wang et al 2013). …”
Section: Implication Of Speech Stimulus On Mismatch Negativity (Mmn) mentioning
confidence: 99%
“…To improve signal denoising process, Wang et al (2013) proposed a method called empirical mode decomposition (EMD). The adaptation of this method was widely used in short inter-stimulus intervals, i.e.…”
Section: Implication Of Speech Stimulus On Mismatch Negativity (Mmn) mentioning
confidence: 99%