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EEG Visualization and Analysis Techniques

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Health Informatics Data Analysis

Part of the book series: Health Information Science ((HIS))

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Abstract

We present some information depicting the current status of EEG research with projected applications in the areas of health care. We describe a method of quick prototyping an EEG headset, in a cost-effective way and with state-of-the-art technologies. We use meditation research to reach out to the high-end applications of EEG data analysis in understanding human brain states and assisting in promoting human health care. Some devotees to the practices of transcendental meditation have shown the ability to control these brain states. We want to numerically prove or disprove this assumption; the analysis of these states could be the initial step in a process to first predict and later allow individuals to control these states. To this end, we begin to build a system for dynamic and onsite brain state analysis using EEG data. The system will allow users to transit EEG data to an online database through mobile devices, interact with the web server through web interface, and get feedback from EEG data analysis programs on real-time bases.

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Author information

Authors and Affiliations

  1. Chevron-Phillips Chemical Company, Houston, TX, USA

    Gregor Schreiber

  2. Department of Computer Science and Engineering Technology, University of Houston-Downtown, Houston, TX, USA

    Hong Lin, Jonathan Garza, Yuntian Zhang & Minghao Yang

Authors
  1. Gregor Schreiber
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  2. Hong Lin
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  3. Jonathan Garza
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  4. Yuntian Zhang
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  5. Minghao Yang
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Corresponding author

Correspondence to Hong Lin .

Editor information

Editors and Affiliations

  1. Digital Biology Laboratory, Computer Science Department, University of Missouri-Columbia, Columbia, Missouri, USA

    Dong Xu

  2. Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA

    May D. Wang

  3. College of Computer Science and Technology, Jilin University, Changchun, China

    Fengfeng Zhou

  4. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China

    Yunpeng Cai

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Schreiber, G., Lin, H., Garza, J., Zhang, Y., Yang, M. (2017). EEG Visualization and Analysis Techniques. In: Xu, D., Wang, M., Zhou, F., Cai, Y. (eds) Health Informatics Data Analysis. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-44981-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-44981-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44979-1

  • Online ISBN: 978-3-319-44981-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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