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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
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              <text>Electa Alice Jayarani, A.; Joy, Helen K.; Thenmozhi, S.; Sangeetha, V.; Ananth, Bhargavi</text>
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          <name>Title</name>
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              <text>Fibonacci Based Security Algorithm for ECG Signal</text>
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          <name>Date</name>
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              <text>01-01-2026</text>
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              <text>Lecture Notes in Networks and Systems;Volume;1644;pp.288-297</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-032-06253-6_23" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-032-06253-6_23&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105026858362?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105026858362?origin=resultslist&lt;/a&gt;</text>
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              <text>Electa Alice Jayarani A., Department of Electronics and Communication, K.S Institute of Technology, Bangalore, India; Joy H.K., Department of Computer Science, Christ University, Bangalore, India; Thenmozhi S., Department of Electronics and Communication, Dayananda Sagar College of Engineering, Bangalore, India; Sangeetha V., Department of Electronics and Communication, K.S Institute of Technology, Bangalore, India; Ananth B., Department of Electronics and Communication, K.S Institute of Technology, Bangalore, India</text>
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              <text>The rising dependence on telemedicine and wearable well-being devices has made the safe transmission of sensitive biomedical information, like Electrocardiogram (ECG) signals, a critical concern. In this paper, we propose a Fibonacci-based security calculation to guarantee the secrecy and integrity of ECG signals during transmission. The proposed algorithm leverages the unique properties of the Fibonacci succession to make a lightweight and effective encryption instrument custom-made to the continuous prerequisites of ECG information. By coordinating Fibonacci changes with conventional cryptographic strategies, the proposed strategy accomplishes upgraded security with insignificant computational above, making it reasonable for asset-obliged devices. The algorithm is evaluated regarding encryption strength, computational proficiency, and capacity to endure cryptographic attacks. Trial results exhibit that the Fibonacci-based approach gets ECG signals and preserves the nature of the first clinical information, guaranteeing both security and exactness in remote health monitoring systems with the Signal to Noise greater than 50dB.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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              <text>ECG signal; Fibonacci series; Security; SNR; Watermarking</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>ISSN: 23673370; ISBN: 978-303206252-9;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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