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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3655</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.13801</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Efficient Neural Recording Amplifier for Brain Machine Interface&#13;
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</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Akanksha</surname><given-names>Gunda</given-names></name></contrib><contrib contrib-type="author"><name><surname>Sahithi</surname><given-names>Kaipa</given-names></name></contrib><contrib contrib-type="author"><name><surname>Maddisetti</surname><given-names>Lavanya</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>25</day><month>04</month><year>2021</year></pub-date><volume>)</volume><issue/><fpage>54</fpage><lpage>57</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: In recent years, neural system study has become a fruitful approach in diagnosing neurological diseases. Brain signals being at very low potentials pose a difficulty to study them. Fault analysis of those signals may lead to improper diagnosis of the diseases. So, amplification of the brain signal is required. The amplified signal is prone to noise. Objective: To meet the limitations of the neural acquisition system a novel design for ultra-low noise neural recording amplifier is discussed in this paper. Methods: Characterization of transistors is the technique used to design the amplifier. The amplifier is designed in a standard 0.18__ampersandsignmicro;m Complementary metal oxide semiconductor process (CMOS). Results: The amplifier achieved a gain of 43.6dB with a total power consumption of 26.29__ampersandsignmicro;W and input-referred noise of 313.6pVrms.&#13;
</p></abstract><kwd-group><kwd>Brain-machine interface</kwd><kwd> Neural amplifier</kwd><kwd> Operational transconductance amplifier</kwd><kwd> Band pass filter</kwd><kwd> Input referred noise</kwd><kwd> Gain</kwd></kwd-group></article-meta></front></article>
