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Comparison of signal preprocessing techniques for avoiding spectral leakage in auditory steady-state responses

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Abstract

Purpose

The auditory steady-state response (ASSR) can be detected with the magnitude-squared coherence (MSC)—which is an objective response detector in the frequency domain. The performance of detection techniques is affected by the spectral leakage that arises from the Fourier analysis.

Methods

This study aimed at investigating two preprocessing techniques designed to mitigate spectral leakage: windowing and bandpass filtering. These two procedures were applied prior to the application of the MSC in the detection of ASSRs in the electroencephalogram of healthy volunteers. The ASSRs were evoked by amplitude modulated tones.

Results

Preprocessing techniques usually improve the performance of MSC, but windowing procedures were worse when compared to filtering. The filtering preprocessing improved the detection rate up to 145.7%. The false positive rates remained close to the significance level of the tests.

Conclusion

In order to mitigate the spectral leakage effects on the performance of MSC in detecting ASSR, bandpass filtering is preferred to windowing. The best results were obtained by 8th order IIR filters (Butterworth, Type 1 Chebyshev, and Elliptic).

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References

  • Breitenbach A. Against spectral leakage. Measurement. 1999;25(2):135–42.

    Article  Google Scholar 

  • Chen KF. Estimating parameters of a sine wave by separable nonlinear least squares fitting. IEEE Trans. Instrum. Meas. 2010;59(12):3214–7.

    Article  Google Scholar 

  • Diao R, Meng Q. Frequency estimation by iterative interpolation based on leakage compensation. Measurement. 2015;59:44–50.

    Article  Google Scholar 

  • Dobie RA, Wilson MJ. Analysis of auditory evoked-potentials by magnitude-squared coherence. Ear Hear. 1989;10(1):2–13.

    Article  Google Scholar 

  • Felix LB, Moraes JE, de Sá M, A. M. F. L, Yehia HC, Moraes MFD. Avoiding spectral leakage in objective detection of auditory steady-state evoked responses in the inferior colliculus of rat using coherence. J Neurosci Methods. 2005;144(2):249–55.

    Article  Google Scholar 

  • Harris FJ. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc. IEEE. 1978;66(1):51–83.

    Article  Google Scholar 

  • John MS, Lins OG, Boucher BL, Picton TW. Multiple auditory steady-state responses (MASTER): stimulus and recording parameters. Audiology. 1998;37(2):59–82.

    Article  Google Scholar 

  • Kay SM. Detection theory, Fundamentals of statistical signal processing, vol. II. New Jersey: Prentice-Hall Inc.; 1998.

    Google Scholar 

  • Kuwada S, Batra R, Maher VI. Scalp potentials of normal and hearing impaired subjects in response to sinusoidally amplitude modulated tones. Hear Res. 1986;21(2):179–92.

    Article  Google Scholar 

  • Michel F, Jorgensen KF. Comparison of threshold estimation in infants with hearing loss or normal hearing using auditory steady-state response evoked by narrow band CE-chirps and auditory brainstem response evoked by tone pips. Int J Audiol. 2017;56(2):99–105.

    Article  Google Scholar 

  • Miranda de Sá AMFL. A note on the sampling distribution of coherence estimate for the detection of periodic signals. IEEE Signal Process Lett. 2004;11(3):323–5.

    Article  Google Scholar 

  • Miranda de Sá AMFL, Infantosi AFC. Evaluating the relationship of non-phase locked activities in the electroencephalogram during intermittent stimulation: a partial coherence-based approach. Med Biol Eng Comput. 2007;45(7):635–42.

    Article  Google Scholar 

  • Motamedi-Fakhr S, Moshrefi-Torbati M, Hill M, Hill CM, White PR. Signal processing techniques applied to human sleep EEG signals–A review. Biomed. Signal Process. Control. 2014;10:21–33.

    Article  Google Scholar 

  • Picton TW, John MS, Dimitrijevic A, Purcell DW. Human auditory steady-state responses. Int J Audiol. 2003;42(4):177–219.

    Article  Google Scholar 

  • Raze S, Dallet D, Marchegay P. Non coherent spectral analysis of ADC using FFT windows: an alternative approach. In Intell. Data Acquis. Adv. Comput. Syst. Technol Appl. 2005:474–8.

  • Rebai C, Dallet D, Marchegay P. Noncoherent spectral analysis of ADC using filter bank. IEEE Trans. Instrum. Meas. 2004;53(3):652–60.

    Article  Google Scholar 

  • Sininger YS, Hunter LL, Hayes D, Roush PA, Uhler KM. Evaluation of speed and accuracy of next-generation auditory steady state response and auditory brainstem response audiometry in children with normal hearing and hearing loss. Ear Hear. 2018.

  • Smith WHF. Spectral windows for satellite radar altimeters. Adv. Space Res. 2018;62:1576–88.

    Article  Google Scholar 

  • Sudani S, Chen D, Geiger R. A 2-FFT method for on-chip spectral testing without requiring coherency. In Instrum. Meas. Technol. Conf. (I2MTC). 2011:1–6.

  • Wu X, Wang A. Harmonic signal processing method based on the windowing interpolated DFT algorithm. J. Inf. Sci. Eng. 2015;31(3):787–98.

    MathSciNet  Google Scholar 

  • Xi J, Chicaro JF. A new algorithm for improving the accuracy of periodic signals analysis. IEEE Trans Instrum Meas. 1996;45(4):827–30.

    Article  Google Scholar 

  • Yu Y, Xu Y, Liu X. Research of improved iterative DFT method in harmonic current detection. In: Power Energy Eng Conf (APPEEC). IEEE, Asia-Pacific; 2011. p. 1–4.

    Google Scholar 

Download references

Funding

This work received financial support of the Brazilian Agencies: CAPES-Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CNPq–Conselho Nacional de Desenvolvimento Científico e Tecnológico and FAPEMIG–Fundação de Amparo à Pesquisa do Estado de Minas Gerais.

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Correspondence to Felipe Antunes.

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The authors declare that they have no conflict of interest.

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Work approved by the Local Ethics Committee. (UFV/CAAE: 56346916.4.0000.5153)

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Antunes, F., Felix, L.B. Comparison of signal preprocessing techniques for avoiding spectral leakage in auditory steady-state responses. Res. Biomed. Eng. 35, 251–256 (2019). https://doi.org/10.1007/s42600-019-00021-2

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  • DOI: https://doi.org/10.1007/s42600-019-00021-2

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