A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System
Identifieur interne : 000752 ( Pmc/Curation ); précédent : 000751; suivant : 000753A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System
Auteurs : Seung Bae Lee ; Byunghun Lee ; Benoit Gosselin ; Maysam GhovanlooSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2014.
Abstract
This paper presents a novel dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which amplifies neural signals by taking advantage of the charge sampling concept for analog signal conditioning, such as amplification and filtering. The presented DSCS-AFE achieves amplification, filtering, and sampling in a simultaneous fashion, while consuming very small amount of power. The output of the DSCS-AFE produces a pulse width modulated (PWM) signal that is proportional to the input voltage amplitude. A circular shift register (CSR) utilizes time division multiplexing (TDM) of the PWM pulses to create a pseudo-digital TDM-PWM signal that can feed a wireless transmitter. The 8-channel system-on-a-chip was fabricated in a 0.35-µm CMOS process, occupying 2.4 × 2.1 mm2 and consuming 255 µW from a 1.8V supply. Measured input-referred noise for the entire system, including the FPGA in order to recover PWM signal is 6.50 µVrms in the 288 Hz~10 kHz range. For each channel, sampling rate is 31.25 kHz, and power consumption is 31.8 µW.
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DOI: 10.1109/EMBC.2014.6944287
PubMed: 25570655
PubMed Central: 4445086
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System</title><author><name sortKey="Lee, Seung Bae" sort="Lee, Seung Bae" uniqKey="Lee S" first="Seung Bae" last="Lee">Seung Bae Lee</name></author><author><name sortKey="Lee, Byunghun" sort="Lee, Byunghun" uniqKey="Lee B" first="Byunghun" last="Lee">Byunghun Lee</name></author><author><name sortKey="Gosselin, Benoit" sort="Gosselin, Benoit" uniqKey="Gosselin B" first="Benoit" last="Gosselin">Benoit Gosselin</name></author><author><name sortKey="Ghovanloo, Maysam" sort="Ghovanloo, Maysam" uniqKey="Ghovanloo M" first="Maysam" last="Ghovanloo">Maysam Ghovanloo</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25570655</idno><idno type="pmc">4445086</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445086</idno><idno type="RBID">PMC:4445086</idno><idno type="doi">10.1109/EMBC.2014.6944287</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000752</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000752</idno><idno type="wicri:Area/Pmc/Curation">000752</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000752</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System</title><author><name sortKey="Lee, Seung Bae" sort="Lee, Seung Bae" uniqKey="Lee S" first="Seung Bae" last="Lee">Seung Bae Lee</name></author><author><name sortKey="Lee, Byunghun" sort="Lee, Byunghun" uniqKey="Lee B" first="Byunghun" last="Lee">Byunghun Lee</name></author><author><name sortKey="Gosselin, Benoit" sort="Gosselin, Benoit" uniqKey="Gosselin B" first="Benoit" last="Gosselin">Benoit Gosselin</name></author><author><name sortKey="Ghovanloo, Maysam" sort="Ghovanloo, Maysam" uniqKey="Ghovanloo M" first="Maysam" last="Ghovanloo">Maysam Ghovanloo</name></author></analytic><series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">This paper presents a novel dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which amplifies neural signals by taking advantage of the charge sampling concept for analog signal conditioning, such as amplification and filtering. The presented DSCS-AFE achieves amplification, filtering, and sampling in a simultaneous fashion, while consuming very small amount of power. The output of the DSCS-AFE produces a pulse width modulated (PWM) signal that is proportional to the input voltage amplitude. A circular shift register (CSR) utilizes time division multiplexing (TDM) of the PWM pulses to create a pseudo-digital TDM-PWM signal that can feed a wireless transmitter. The 8-channel system-on-a-chip was fabricated in a 0.35-µm CMOS process, occupying 2.4 × 2.1 mm<sup>2</sup> and consuming 255 µW from a 1.8V supply. Measured input-referred noise for the entire system, including the FPGA in order to recover PWM signal is 6.50 µV<sub>rms</sub> in the 288 Hz~10 kHz range. For each channel, sampling rate is 31.25 kHz, and power consumption is 31.8 µW.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101243413</journal-id><journal-id journal-id-type="pubmed-jr-id">32722</journal-id><journal-id journal-id-type="nlm-ta">Conf Proc IEEE Eng Med Biol Soc</journal-id><journal-id journal-id-type="iso-abbrev">Conf Proc IEEE Eng Med Biol Soc</journal-id><journal-title-group><journal-title>Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</journal-title></journal-title-group><issn pub-type="ppub">1557-170X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25570655</article-id><article-id pub-id-type="pmc">4445086</article-id><article-id pub-id-type="doi">10.1109/EMBC.2014.6944287</article-id><article-id pub-id-type="manuscript">NIHMS692103</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>A Dual Slope Charge Sampling Analog Front-End for a Wireless Neural Recording System</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Seung Bae</given-names></name><aff id="A1">GT-Bionics lab, School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, GA 30308, USA</aff></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Byunghun</given-names></name><aff id="A2">GT-Bionics lab, School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, GA 30308, USA</aff></contrib><contrib contrib-type="author"><name><surname>Gosselin</surname><given-names>Benoit</given-names></name><aff id="A3">Department of Electrical and Computer Engineering, Laval University, Quebec, QC, Canada</aff></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Ghovanloo</surname><given-names>Maysam</given-names></name><email>mgh@gatech.edu</email><aff id="A4">GT-Bionics lab, School of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, GA 30308, USA</aff></contrib></contrib-group><pub-date pub-type="nihms-submitted"><day>20</day><month>5</month><year>2015</year></pub-date><pub-date pub-type="ppub"><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>27</day><month>5</month><year>2015</year></pub-date><volume>2014</volume><fpage>3134</fpage><lpage>3137</lpage><pmc-comment>elocation-id from pubmed: 10.1109/EMBC.2014.6944287</pmc-comment>
<permissions><copyright-statement>Copyright (c) 2014 IEEE</copyright-statement><copyright-year>2014</copyright-year></permissions><abstract><p id="P1">This paper presents a novel dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which amplifies neural signals by taking advantage of the charge sampling concept for analog signal conditioning, such as amplification and filtering. The presented DSCS-AFE achieves amplification, filtering, and sampling in a simultaneous fashion, while consuming very small amount of power. The output of the DSCS-AFE produces a pulse width modulated (PWM) signal that is proportional to the input voltage amplitude. A circular shift register (CSR) utilizes time division multiplexing (TDM) of the PWM pulses to create a pseudo-digital TDM-PWM signal that can feed a wireless transmitter. The 8-channel system-on-a-chip was fabricated in a 0.35-µm CMOS process, occupying 2.4 × 2.1 mm<sup>2</sup> and consuming 255 µW from a 1.8V supply. Measured input-referred noise for the entire system, including the FPGA in order to recover PWM signal is 6.50 µV<sub>rms</sub> in the 288 Hz~10 kHz range. For each channel, sampling rate is 31.25 kHz, and power consumption is 31.8 µW.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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