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    Data Analysis and Data Classification Techniques for Meditative and Non-Meditative Brain Rhythms using EEG Signals

     
     
         
    ISSN: 2348 - 2273

    Publisher: author   

Data Analysis and Data Classification Techniques for Meditative and Non-Meditative Brain Rhythms using EEG Signals
Indexed in Technology and Engineering
ARTICLE-FACTOR
 1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
Authors: Seema S. Kute, Sonali B. Kulkarni
International Journal Address (IAA):
IAA.ZONE/234855742273
eISSN : 2348 - 2273 VALID ISSN Validator
Abstract This research aims new perceptions are obtained into the nature of EEG during meditation and non-meditation. Statistical comparison of the recorded signals. The paper covers the brain constituents, EEG patterns, EEG data acquisition equipment basics, essentials of classification techniques. This paper includes the effectiveness of signal processing and electroencephalography basics. It also includes the acquisition of the EEG signal in research at the time of implementation in Brain Computer Interfaces. The objective of this paper is EEG data acquisition of meditative and nonmeditative subjects and their statistical analysis field as well as building elementary perception for performing EEG data acquisition and analysis.
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