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            <name>Title</name>
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                <text>Faculty Publications</text>
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    <name>Book Chapter</name>
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          <name>Creator</name>
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              <text>Kumar, Prachi; Chauhduri, Salineeta; Nijhawan, Pratham; Poonia, Ramesh Chandra; Shankar, Uma; Ahmad, Faraz</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Integration of cyber-physical systems with wearable devices:A new paradigm for patient monitoring</text>
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          <name>Date</name>
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              <text>01-01-2025</text>
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              <text>Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.137-154</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003569251-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003569251-7&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105024652770?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105024652770?origin=resultslist&lt;/a&gt;</text>
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              <text>Kumar P., Department of Economics, CHRIST University, Delhi NCR, India; Chauhduri S., Department of Economics, CHRIST University, Delhi NCR, India; Nijhawan P., T&amp;amp; A Consulting Global Pvt. Ltd, Gurgugram, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, India; Shankar U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaymaniyah, Iraq; Ahmad F., Department of Economics, CHRIST University, Delhi NCR, India</text>
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              <text>The healthcare sector has witnessed significant changes as cyber-physical systems (CPS) bring embedded technologies that are developed from human and physical surroundings to smart objects. Wearable technologies such as wearable fitness trackers, biosensors, and smartwatches stand as good examples of smart healthcare that may improve decision-making and real-time patient monitoring. Through advances in personal health technology, mobile medication, and smart sensing, these technologies aid the medical treatment of the patient. Such advancements enable monitoring and programming health data streams continually, which supports early diagnosis and better care. However, challenges persist in integrating machine learning into health wearables; it still poses a limitation, improving algorithm accuracy and reliability so that the use can be widespread. Advances in skin-based, textile-based, and biofluidic designs have allowed medical wearables to monitor neuro, cardiovascular, and metabolic disorders, which are being further extended to drug delivery systems. The present study identifies gaps and advances in the field using secondary data from articles, journals, and research papers. It highlights future research directions on the clinical applications of wearable technology and its role in routine safety and health monitoring. Findings have indicated that regulated data privacy, equity, and fairness must be pursued to fully realize CPS-enabled wearables in terms of a healthcare revolution.  2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.</text>
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          <name>Publisher</name>
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              <text>Taylor and Francis</text>
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          <description>A related resource</description>
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              <text>ISBN: 978-104054278-1; 978-103294165-3;</text>
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              <text>English</text>
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              <text>Book chapter</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>online</text>
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