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SNR Improvement for Evoked Potential Estimation Using Wavelet Transform Averaging Technique

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Proceedings of the International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 439))

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Abstract

Evoked potential (EP) comprises giving stimulus to the subject and record the response of the brain. Here, background noise electroencephalogram (EEG) is to be removed to see the response for the stimulus being given. In this paper, wavelet transform has been used to extract the responses and also to improve the signal to noise ratio (SNR). Wavelet transform averaging technique of estimation improves the SNR by a large amount in almost many sweeps of EP. The two different wavelet transforms such as Daubechies wavelet transform and Biorthogonal wavelet transform have been used to improve the SNR. SNR comparison is made with the conventional ensemble averaging technique. In this paper, Visual Evoked Potential (VEP) signals have been considered for analysis.

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References

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Author information

Authors and Affiliations

  1. Pacific University, Udaipur, Rajasthan, India

    M. L. Shailesh

  2. R.V. College of Engineering, Bangalore, Karnataka, India

    Anand Jatti

Authors
  1. M. L. Shailesh
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  2. Anand Jatti
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Corresponding author

Correspondence to M. L. Shailesh .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg., Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. College of Technology and Engineering, Maharana Pratap Univer. of Agri. & Tech., Udaipur, Rajasthan, India

    Yogesh Chandra Bhatt

  3. Sabarkantha, Sabar Institute of Technology, Tajpur, Gujarat, India

    Amit Joshi

  4. Near MR-10 Crossing SH, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2016 Springer Science+Business Media Singapore

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Shailesh, M.L., Anand Jatti (2016). SNR Improvement for Evoked Potential Estimation Using Wavelet Transform Averaging Technique. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_35

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  • DOI: https://doi.org/10.1007/978-981-10-0755-2_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0754-5

  • Online ISBN: 978-981-10-0755-2

  • eBook Packages: EngineeringEngineering (R0)

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