Wavelet analysis of click-evoked otoacoustic emissions

“…As demonstrated by Tognola et al [4], the above expression can also be used to derive the contribution of the generic component In this study, CEOAE components were extracted for 12 adjacent bands, 0.5-kHz-wide, with central frequencies ranging from 0.5 to 6 kHz.…”

Section: B Time-frequency Analysismentioning

confidence: 99%

Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

et al. 2005

View full text Add to dashboard Cite

“…Compared with the windowed Fourier transform, the continuous wavelet transform (CWT) offers an optimal compromise for time-frequency resolution and is therefore very suitable for exploring a wide frequency range (Chorlian et al 2003;Effern et al 2000;Mouraux and Iannetti 2008;Mouraux and Plaghki 2004;Quiroga and Garcia 2003;Tognola et al 1998). In this study, by thresholding the average of single-trial time-frequency representations of single-subject ERPs, we generated a wavelet filter that captures both the phase-locked and non-phase-locked responses and provides a time-varying filter.…”

Section: Wf To Enhance the Snr Of Erpsmentioning

confidence: 99%

Taking into account latency, amplitude, and morphology: improved estimation of single-trial ERPs by wavelet filtering and multiple linear regression

Liang

Mouraux

et al. 2011

Journal of Neurophysiology

View full text Add to dashboard Cite

Across-trial averaging is a widely used approach to enhance the signal-to-noise ratio (SNR) of event-related potentials (ERPs). However, across-trial variability of ERP latency and amplitude may contain physiologically relevant information that is lost by across-trial averaging. Hence, we aimed to develop a novel method that uses 1) wavelet filtering (WF) to enhance the SNR of ERPs and 2) a multiple linear regression with a dispersion term (MLR d ) that takes into account shape distortions to estimate the single-trial latency and amplitude of ERP peaks. Using simulated ERP data sets containing different levels of noise, we provide evidence that, compared with other approaches, the proposed WFϩMLR d method yields the most accurate estimate of single-trial ERP features. When applied to a real laser-evoked potential data set, the WFϩMLR d approach provides reliable estimation of single-trial latency, amplitude, and morphology of ERPs and thereby allows performing meaningful correlations at single-trial level. We obtained three main findings. First, WF significantly enhances the SNR of single-trial ERPs. Second, MLR d effectively captures and measures the variability in the morphology of single-trial ERPs, thus providing an accurate and unbiased estimate of their peak latency and amplitude. Third, intensity of pain perception significantly correlates with the single-trial estimates of N2 and P2 amplitude. These results indicate that WFϩMLR d can be used to explore the dynamics between different ERP features, behavioral variables, and other neuroimaging measures of brain activity, thus providing new insights into the functional significance of the different brain processes underlying the brain responses to sensory stimuli. event-related potentials; laser-evoked potentials; single-trial analysis; multiple linear regression with dispersion term

show abstract

“…During the process of transformation, compression is achieved. A wavelet packet tree for a decomposition depth of 2 generated using the natural order index labeling of MatLab was presented in Figure 1, where the nodes represent the wavelet coefficients (at various decomposition stages) and the left and right branches represent the low-and high-pass filtering operations, respectively [9], [10]. …”

Section: The Speech Processing Strategiesmentioning

confidence: 99%

Optimization of Wavelet Packets to Minimize the Effect of Spectral Masking for Improving Speech Perception

Dhulekar¹,

Nalbalwar²

2011

IJCA

View full text Add to dashboard Cite

Spectral masking occurs when the perception of one sound is affected by the presence of another sound like noise or unwanted sound of the same duration as the original sound. Earlier studies have shown that binaural dichotic presentation, using a pair of linear phase FIR comb filters with complementary magnitude responses, helps in reducing the effect of spectral masking. In the present study a spectral splitting of speech signals is done by using improved wavelet packets that provides a pair of bands of pre-recorded speech signals, which are presented dichotically that is odd bands of frequencies are given to the right ear and even bands to the left ear simultaneously. The performance of the proposed method is experimentally evaluated with speech signals of vowel-consonant-vowel syllables for twenty one English consonants. The result of Qualitative assessment, Response time and Recognition scores obtained after conducting listening tests on the five subjects, shows the effectiveness of method of improved wavelet packets over the comb filter. General TermsSignal Processing, Wavelet Representations et. al.

show abstract

Wavelet analysis of click-evoked otoacoustic emissions

Cited by 64 publications

References 38 publications

Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

Cochlear maturation and otoacoustic emissions in preterm infants: a time–frequency approach

Taking into account latency, amplitude, and morphology: improved estimation of single-trial ERPs by wavelet filtering and multiple linear regression

Optimization of Wavelet Packets to Minimize the Effect of Spectral Masking for Improving Speech Perception

Contact Info

Product

Resources

About