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                <text>Faculty Publications</text>
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          <name>Creator</name>
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              <text>Sivasakthivel, Ramkumar; Rajagopal, Manikandan; Ramar, Gobinath; Stephen, R.; Sindhu, V.; Fernandiz, Elvis Vidit</text>
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              <text>A Systematic Review and Modern Approaches for Bio Signal Based BCI's</text>
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              <text>01-01-2025</text>
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              <text>Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025;</text>
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              <text>&lt;a href="https://doi.org/10.1109/COMP-SIF65618.2025.10969971" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/COMP-SIF65618.2025.10969971&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105004985070?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105004985070?origin=resultslist&lt;/a&gt;</text>
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              <text>Sivasakthivel R., Christ University, Bangalore, India; Rajagopal M., Christ University, Bangalore, India; Ramar G., Christ University, Bangalore, India; Stephen R., Christ University, Bangalore, India; Sindhu V., Christ University, Bangalore, India; Fernandiz E.V., Christ University, Bangalore, India</text>
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              <text>Bio-signals play a very critical role in modern medicine, especially for paralyzed patients. The development of Brain-Computer Interface (BCI) systems, which allows direct brain-to-external device contact, is made possible by these signals, creating new ways for medical intervention and rehabilitation. Using these bio-signals, modern medicine has made great strides toward developing intelligent devices that enhance the quality of life for people who are paralyzed. These include improved mobility, supported communication devices, and environmental control. In this survey, we thoroughly assess the latest BCI-based smart devices and their medical applications. By finding and examining current methods, technologies, and practical uses, we seek to showcase the effectiveness and potential of brain-computer interfaces (BCIs) in providing new ways to treat paralysis. Currently, bio-signal-based control systems have been continuously used rapidly in biomedical devices and assistive robots to enhance and improve the quality of life for disabled and elderly individuals. Among these, electromyograph (EMG), electroencephalography (EEG), and electrooculography (EOG) bio-signals are highly used for improving modern technologies. The primary objectives of this paper are to detail the techniques used in Brain-computer interface-based smart devices and their applications, used in healthcare. Additionally, this paper provides an overview of applications controlled through these bio-signals and discusses the research challenges in developing these control systems.  2025 IEEE.</text>
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              <text>Brain Computer Interface; Electroencephalogram; Electromyogram; Electrooculogram; Human Computer Interface; Human Machine Interface</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISBN: 979-833153853-8;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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