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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 10 Issue 3</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Electronics and Communication Engineering</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>May - June 2022</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2023</Year>
        <Month>10</Month>
        <Day>13</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>Design of MEMS Sensor for Brain Wave Detection</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>423</FirstPage>
      <LastPage>425</LastPage>
      <AuthorList>
        <Author>
          <FirstName>N. Rambabu</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
                      <FirstName>Tammisetty Vyshnavi</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
                    <FirstName>Koppolu Padma Sai Tulasi</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
                    <FirstName>Inkollu Ajay Kumar</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
                    <FirstName>Ganta Sai Krishna</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
           
        </Author>
      </AuthorList>
      <DOI>https://doi.org/10.55524/ijircst.2022.10.3.69</DOI>
      <Abstract>The human brain regulates bodily activities such as the heart, movement, speech, thinking, and emotion perception. Brain waves are electrical impulses generated by neuron communication. MEMS sensors can be used to monitor brain activity. MEMS, or Micro Electro-Mechanical Systems, is a chip-based technology [1] [2]. Sensors are made up of a suspended mass between two capacitive plates that create an electric potential differential to detect brainwaves. To capture and monitor brain signals, a MEMS electrode array was implanted in the brain. The basic idea behind this technology is to capture electric potential. Finally, a detection of brain wave signal analysis is performed to extract brain processing information and determine how this relates to abnormal brain processes.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>MEMS Sensor, Brain Wave Detection, chip-based technology, Micro-Electro-Mechanical</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=1181</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>