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A Review on Different Preprocessing and Feature Extraction Technique for SSVEP BCI Inference System

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Modern Electronics Devices and Communication Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 948))

Abstract

The steady-state visual evoked potential (SSVEP) is a periodic signal contaminated with recorded electroencephalography (EEG) signal. Accurate detection of SSVEP signals from noise contaminated EEG signal is the key challenge to improve the performance of an SSVEP-based BCI system. Therefore, the use of a signal processing algorithm plays a significant role to detect the SSVEP signal with great accuracy. This paper describes the recent development in the use of various existing detection algorithms for the SSVEP BCI system. The signal processing technique related to preprocessing and feature extractions is discussed in this paper. This study report that technique that can be applied for non-stationary and nonlinear signals analysis are more employed as compared to traditional Fourier transform to improve the performance for SSVEP BCI system. Spatial filtering techniques are useful for channel selection and to eliminate the nuisance signal from multi-channel EEG signal.

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Authors and Affiliations

  1. Greater Noida Institute of Technology, Greater Noida, 201310, India

    Mukesh Kumar Ojha & Dhiraj Gupta

Authors
  1. Mukesh Kumar Ojha
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  2. Dhiraj Gupta
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Corresponding author

Correspondence to Mukesh Kumar Ojha .

Editor information

Editors and Affiliations

  1. G. L. Bajaj Institute of Technology and Management, Greater Noida, India

    Rajeev Agrawal

  2. Indian Institute of Science Bangalore, Bengaluru, India

    Chandramani Kishore Singh

  3. Department of Electrical Engineering and Computer Science, Texas A&M University—Kingsville, Kingsville, USA

    Ayush Goyal

  4. G. L. Bajaj Institute of Technology and Management, Greater Noida, India

    Dinesh Kumar Singh

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ojha, M.K., Gupta, D. (2023). A Review on Different Preprocessing and Feature Extraction Technique for SSVEP BCI Inference System. In: Agrawal, R., Kishore Singh, C., Goyal, A., Singh, D.K. (eds) Modern Electronics Devices and Communication Systems. Lecture Notes in Electrical Engineering, vol 948. Springer, Singapore. https://doi.org/10.1007/978-981-19-6383-4_39

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  • DOI: https://doi.org/10.1007/978-981-19-6383-4_39

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6382-7

  • Online ISBN: 978-981-19-6383-4

  • eBook Packages: EngineeringEngineering (R0)

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