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              <text>Smart medical sensor</text>
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              <text>Accelerometers; Blood pressure; Bluetooth; Health-care sector; Medical sensor; Physical parameters</text>
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              <text>Medical sensors facilitate health-care applications to save a patient's life by continuously monitoring the patient's health. The combined feature of medical sensors and the fastest growing techniques that are Internet of things improves the accuracy of treatment. Internet of things techniques serve the smart and very effective medical service. Early diagnosis of the symptoms helps the health-care provider to get success in the treatment to save a patient's life. Many medical sensors are available in the health-care application that can monitor continuously patient health. Medical sensors can be wearable and nonwearable. There are some common parameters such as body temperature and a heart rate that are used to monitor human activity. These parameters are measured by using wearable and body-embedded sensors. The data collected from these parameters are analyzed by the medical devices for early detection of disease. The advanced internet of things techniques help to connect the sensors, patients, hospitals, and other medical devices. In this chapter, we highlight the use of different types of sensors with advanced technology (internet of things).  2023 Elsevier Inc. All rights reserved.</text>
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              <text>Subramanian V.; Dahiya S.; Thiruppathiraju G.; Balusamy B.</text>
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              <text>Security and Privacy Issues in Internet of Medical Things, pp. 1-32.</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/B978-0-323-89872-0.00005-8" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-323-89872-0.00005-8&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152812505&amp;amp;doi=10.1016%2FB978-0-323-89872-0.00005-8&amp;amp;partnerID=40&amp;amp;md5=24d06e22493b2974695be518befe267b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152812505&amp;amp;doi=10.1016%2fB978-0-323-89872-0.00005-8&amp;amp;partnerID=40&amp;amp;md5=24d06e22493b2974695be518befe267b&lt;/a&gt;</text>
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              <text>ISBN: 978-032389872-0; 978-032388594-2</text>
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              <text>Subramanian V., Department of Data Science, CHRIST (Deemed to be University), Maharashtra, Lavasa, India; Dahiya S., School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, Greater Noida, India; Thiruppathiraju G., School of Computing Science, KPR College of Arts Science and Research, Tamil Nadu, Coimbatore, India; Balusamy B., Shiv Nadar University, Tamil Nadu, Chennai, India</text>
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