EEG SIGNAL ACQUISITION USING EMBEDDED SYSTEMS

  • Unique Paper ID: 143272
  • Volume: 2
  • Issue: 9
  • PageNo: 22-24
  • Abstract:
  • The purpose of this paper is to develop EEG signal acquisition using embedded systems. This system has been designed that recorded biological signal conditioning is a successive analog and digital transformation. These transformations are necessary to provide signals for efficacious signal processing and pattern recognition methods. An important objective of this paper is to describe the improvements of the EEG signal acquisition systems using efficient signal conditioning proceedings which gives increased amplification factor and SNR value.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{143272,
        author = {MAYA D. KAMBLE and Dr. D. M. YADAV},
        title = {EEG SIGNAL ACQUISITION USING EMBEDDED SYSTEMS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {9},
        pages = {22-24},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143272},
        abstract = {The purpose of this paper is to develop EEG signal acquisition using embedded systems. This system             has been designed that recorded biological signal conditioning is a successive analog and digital transformation. These transformations are necessary to provide signals for efficacious signal processing and pattern recognition methods. An important objective of this paper is to describe the improvements of the EEG signal acquisition systems using efficient signal conditioning proceedings which gives increased amplification factor and SNR value.},
        keywords = {EEG, Electrode, Embeddedsystem, Signal processing },
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 9
  • PageNo: 22-24

EEG SIGNAL ACQUISITION USING EMBEDDED SYSTEMS

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