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  <doi_batch_id>aspg-25-3993-1791492799</doi_batch_id>
  <timestamp>20261008205319</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Cognitive Human-Computer Interaction</full_title>
    <abbrev_title>JCHCI</abbrev_title>
    <issn media_type="print">2771-1471</issn>
    <issn media_type="electronic">2771-1463</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>10</volume>
    </journal_volume>
    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>HeartLink: IoT Smartwatch for Emergency Alerts</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>A. V. Adlin</given_name>
      <surname>Grace</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department. Of AI&amp;DS, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Cherlin Flory</given_name>
      <surname>Thomas</surname>
      <affiliations>
       <institution>
        <institution_name>Students, Department. Of AI&amp;DS, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Anu Sushmitha</given_name>
      <surname>S.</surname>
      <affiliations>
       <institution>
        <institution_name>Students, Department. Of AI&amp;DS, Panimalar Engineering College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper introduces HeartLink, an IoT-based health monitoring system designed to provide real-time heart rate tracking and emergency alerts using the Huawei Band 9 smartwatch. The system integrates Huawei's Health Kit with a Flutter-based Android application, enabling seamless data collection and processing. The backend, built on Java Spring Boot or Node.js, utilizes a hybrid database architecture combining MongoDB and Firebase for efficient data storage and real-time synchronization. HeartLink features threshold- based alert mechanisms, where heart rate deviations trigger SMS notifications to pre-selected contacts via Twilio and emergency calls to ambulance services in critical scenarios. Firebase Cloud Messaging (FCM) ensures timely push notifications, while Firebase Authentication secures user access. The system's modular design allows for real-time heart rate analysis, dynamic threshold configuration, and automated emergency responses, making it a robust solution for individuals requiring continuous health monitoring. By leveraging advanced IoT and cloud technologies, HeartLink bridges the gap between wearable health devices and emergency response systems, offering a scalable, reliable, and user-friendly platform for real-time health tracking and life- saving interventions.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>01</first_page>
     <last_page>05</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3993</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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     <doi>10.54216/JCHCI.100101</doi>
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