  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
  <abbrev_title>JISIoT</abbrev_title>
  <issn media_type="print">2690-6791</issn>
  <issn media_type="electronic">2769-786X</issn>
  <doi_data>
   <doi>10.54216/JISIoT</doi>
   <resource>https://www.americaspg.com/journals/show/2754</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2019</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2019</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Investigating the Impact of Compressed Sensing Techniques and IoT in Medical Imaging</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Department of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Suresh</given_name>
    <surname>Suresh</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of ECE, Veltech Rangarajan Dr Sagunthala R&amp;D Institute of Science and Technology, Chennai, TN, India</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Shahnaz K..</given_name>
    <surname>V.</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Chopparapu</given_name>
    <surname>Gowthami</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, TN, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>S. Shiek</given_name>
    <surname>Aalam</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of IT, St. Martin's Engineering College, Secunderabad, Telangana, India.</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>B. Laxmi</given_name>
    <surname>Kantha</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Humanities, Madanapalle Institute of Technology and Science, Madanapalle-517325, Andhra Pradesh, India</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>K.</given_name>
    <surname>Chandran</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p> This research paper examines compressed sensing's impact on medical imaging. Math and signal processing inspired compressed sensing. Future picture-capturing will be radically different. The paper focuses on adaptive random sampling (ARS), iterative shrinkage-thresholding algorithms (ISTA), and temporal compressed sensing (TCS). These approaches were rigorously tested using MRIs, X-rays, and dynamic imaging patterns. Low scan times, picture quality, and dynamic imaging were the main test criteria. The technologies considerably reduced scan time, demonstrating their potential to speed up imaging procedures. The reconstructed photos had higher SNRs and SSIs than those obtained using normal techniques, indicating greater accuracy. The TCS algorithm's dynamic imaging skills, especially evident in heart and musculoskeletal imaging, eliminated motion defects while exhibiting real-time physiological changes. The study was expanded to incorporate customized treatment, and the recommended procedures have proven amazing adaptability to each patient's demands. This adaptability fits current medical treatments, making unique imaging technologies viable.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2024</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2024</year>
  </publication_date>
  <pages>
   <first_page>187</first_page>
   <last_page>197</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/JISIoT.120214</doi>
   <resource>https://www.americaspg.com/articleinfo/18/show/2754</resource>
  </doi_data>
 </journal_article>
</journal>
