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Analysis of brain signal processing and real-time EEG signal enhancement

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Abstract

Cerebrum signals can be acquired and broken down with various techniques, as represented in the paper. Electroencephalogram (EEG) signals are damaged by various conventional i.e. signals related to muscle action, eye development, and body movement, which have non-cerebral inception. The outcomes of such traditions are superior to that of the cerebrum’s electrical movement, so they cover the cortical signs of interest and bring a one-sided investigation. A few visually impaired source partition techniques have been created to expel ancient rarities from the EEG accounts. The iterative procedure for estimating detachment inside multichannel chronicles is computationally immovable in all cases. The curiosity segments require a tedious disconnected procedure except physically. The proposed work gives a curio expulsion calculation that depends on the authoritative connection examination (CCA) and Gaussian Mix-Model (GMM) to expand the nature of signs of EEG. In particular, EEG signs can be investigated utilizing various techniques, proposing a mix of strategies ideal for simplicity of automated examination and conclusion of epileptic seizures.

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Authors and Affiliations

  1. School of Computing & Information Technology, Manipal University Jaipur, Jaipur, India

    Prakash Chandra Sharma & Santosh Kumar Vishwakarma

  2. Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India

    Rohit Raja

  3. Madhav Institute of Technology & Science, Gwalior, India

    Sanjiv Sharma

  4. Amity School of Engineering and Technology, Amity University, Gwalior, India

    Pankaj Kumar Mishra & Vivek Singh Kushwah

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  1. Prakash Chandra Sharma
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Sharma, P.C., Raja, R., Vishwakarma, S.K. et al. Analysis of brain signal processing and real-time EEG signal enhancement. Multimed Tools Appl 81, 41013–41033 (2022). https://doi.org/10.1007/s11042-022-12887-z

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