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  <record>
    <language>eng</language>
    
      <publisher>Oriental Scientific Publishing Company</publisher>
    
    <journalTitle>Material Science Research India</journalTitle>
    
      <issn>0973-3469</issn>
    
    
    <publicationDate>2008-11-06</publicationDate>
    

        <volume>5</volume>

        <issue>2</issue>

 

    <startPage>293</startPage>
    <endPage>304</endPage>

   
      <doi></doi>
    
    <publisherRecordId>2025</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 1)</title>

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    </authors>
    
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    <abstract language="eng"><p>Generally, EEG wave forms are recorded and observed for prolonged periods. The pathological findings are based on measurements of abnormal wave patterns which can appear once in a while. Wavelets is a useful technique of signal analysis which finds application for diagnosing EEG pathology. First, it is explained how Multi-resolution analysis is performed on wavelets to show up with a good match ato the clinical bands of Alpha, beta , delta and theta rhythms in addition to waves and spikes. The appropriate choice of a wavelet is explained and the method indicated. Two method of displaying of wavelet analysis results are illustrated, one of plotting the maximal scale coefficients plot versus time; another of plotting the scale intensities versus scale value at a time point chosen for good EEG activity using the line of maxima in the scalogram figure. Comparative studies of a patient?s records over a long period of observation can be easily made to assess the disease prognosis.</p></abstract>

    <fullTextUrl format="html">https://www.materialsciencejournal.org/vol5no2/electro-encephalography-measurements-using-wavelet-based-signal-processing-part-1/</fullTextUrl>




      <keywords language="eng">
        <keyword>Stochastic signal</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> EEG Records</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> Photic stimulation</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> Fourier Transform</keyword>
      </keywords>


      <keywords language="eng">
        <keyword> Wavelet Transform</keyword>
      </keywords>

  </record>

</records>