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  <doi_batch_id>aspg-3-3449-1791421107</doi_batch_id>
  <timestamp>20261008005827</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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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>2025</year>
    </publication_date>
    <journal_volume>
     <volume>18</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Medical Assistant System for Athletes' Health Analysis Based on EMG-Signals Activity and Virtual Instruments as a Step towards the Internet of Medical Things</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Radwan Nazar</given_name>
      <surname>Hamed</surname>
      <affiliations>
       <institution>
        <institution_name>Middle Technical University, Anbar Technical Institute, Saqlawiyah, 31001, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mohannad</given_name>
      <surname>Al-Kubaisi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Sciences, College of Science, University of Al Maarif, Anbar, 31001, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Alyaa Hashem</given_name>
      <surname>Mohammed</surname>
      <affiliations>
       <institution>
        <institution_name>Statistics Department, Mustansiriyah University, Baghdad 14022, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Azmi Shawkat</given_name>
      <surname>Abdulbaqi</surname>
      <affiliations>
       <institution>
        <institution_name>College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Monitoring and analyzing athletes' jumps system using Electromyography (EMG) signals based on Virtual Instruments (LabVIEW) is presented in this paper. This system was prototyped using the virtual instrument workbench (LabVIEW) to display the jumping pattern. In Jump analysis hardware (JA-H/W), there are sensory boards, ultrasonics, and wireless communication systems. To measure the minimum foot clearance (MFC) and orientation, there have been two types of systems used to simulate Jump Analysis Software Ultrasonic (JAS-UltSnc) as well as Inertial Measurement Unit (JAS-IntMeUnt). Combining JAS-UltSnc with JAS-IntMeUnt provided a complete solution with error correction. LabVIEW is used to display the jump patterns generated by the system and analyze the jump patterns of the athlete.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>56</first_page>
     <last_page>65</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3449</item_number>
    </publisher_item>
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     <doi>10.54216/FPA.180105</doi>
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