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  <doi_batch_id>aspg-3-1902-1791417255</doi_batch_id>
  <timestamp>20261007235415</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>12</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Blockchain and 1D-CNN based IoTs for securing and classifying of PCG sound signal data</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Zainab N.</given_name>
      <surname>Al-Qudsy</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Intelligent Medical Systems, University of Information Technology and Communications, Biomedical Informatics College</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Zainab Mahmood</given_name>
      <surname>Fadhil</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Engineering, University of Technology – Iraq, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Refed Adnan</given_name>
      <surname>Jaleel</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Musaddak Maher Abdul</given_name>
      <surname>Zahra</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Techniques Engineering Department, Al-Mustaqbal University, Babil, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The Internet of Things (IoTs) has accelerated with the introduction of powerful biomedical sensors, telemedicine services and population ageing are concerns that can be solved by smart healthcare systems. However, the security of medical signal data that collected from sensors of IoTs technology, while it is being transmitted over public channels has grown to be a serious problem that has limited the adoption of intelligent healthcare systems. This suggests using the technology of blockchain to create a safe and reliable heart sound signal (PCG) that can communicate with wireless body area networks. The security plan offers a totally dependable and safe environment for every data flowing from the back end to front-end. Also in this paper, to classify heart sound signals, we suggested a one-dimensional convolutional neural network (1D-CNN) model. The denoising autoencoder extracted the heart sounds' deep features as an input feature of 1D-CNN. To extract the detailed characteristics from the PCG signals, a Data Denoising Auto Encoder (DDAE) was used instead of the standard MFCC, the suggested model shows significant improvement. The system's benefits include a less difficult encryption algorithm and a more capable and effective blockchain-based data transfer and storage system.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>28</first_page>
     <last_page>41</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1902</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/FPA.120203</doi>
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