A Direct Digitizing Chopped Neural Recorder Using a Body-Induced Offset Based DC Servo Loop
This article presents a direct digitizing neural recorder that uses a body-induced offset based DC servo loop to cancel electrode offset (EDO) on-chip. The bulk of the input pair is used to create an offset, counteracting the EDO. The architecture does not require AC coupling capacitors which enable...
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| Veröffentlicht in: | IEEE transactions on biomedical circuits and systems 2022-06, Vol.16 (3), p.409-418 |
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| container_title | IEEE transactions on biomedical circuits and systems |
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| creator | Sporer, Markus Reich, Stefan Kauffman, John G. Ortmanns, Maurits |
| description | This article presents a direct digitizing neural recorder that uses a body-induced offset based DC servo loop to cancel electrode offset (EDO) on-chip. The bulk of the input pair is used to create an offset, counteracting the EDO. The architecture does not require AC coupling capacitors which enables the use of chopping without impedance boosting while maintaining a large input impedance of 238 M\Omega over the whole 10 kHz bandwidth. Implemented in a 180 nm HV-CMOS process, the prototype occupies a silicon area of only 0.02 mm 2 while consuming 12.8 μW and achieving 1.82 μV_{\text{rms}} of input-referred noise in the local field potential (LFP) band and a NEF of 5.75. |
| doi_str_mv | 10.1109/TBCAS.2022.3177241 |
| format | Article |
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The bulk of the input pair is used to create an offset, counteracting the EDO. The architecture does not require AC coupling capacitors which enables the use of chopping without impedance boosting while maintaining a large input impedance of 238 M<inline-formula><tex-math notation="LaTeX">\Omega</tex-math></inline-formula> over the whole 10 kHz bandwidth. Implemented in a 180 nm HV-CMOS process, the prototype occupies a silicon area of only 0.02 mm 2 while consuming 12.8 μW and achieving 1.82 μV<inline-formula><tex-math notation="LaTeX">_{\text{rms}}</tex-math></inline-formula> of input-referred noise in the local field potential (LFP) band and a NEF of 5.75.]]></description><identifier>ISSN: 1932-4545</identifier><identifier>EISSN: 1940-9990</identifier><identifier>DOI: 10.1109/TBCAS.2022.3177241</identifier><identifier>PMID: 35605002</identifier><identifier>CODEN: ITBCCW</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Area-efficient ; Bandwidth ; biomedical ; Capacitors ; chopping ; continuous-time delta–sigma modulator (CTDSM) ; Couplings ; Cutting ; DC servo loop ; Digitization ; Digitizing ; direct digitizing neural recorder ; Electrophysiological recording ; Impedance ; Input impedance ; low noise ; neural recorder ; neurorecording ; offset cancellation ; Recording ; Servomotors ; Signal to noise ratio</subject><ispartof>IEEE transactions on biomedical circuits and systems, 2022-06, Vol.16 (3), p.409-418</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c281t-4f5353bdacaaae23725ce54986bd51af2f3f648447491475bc61f2dd4fb3cbab3</citedby><cites>FETCH-LOGICAL-c281t-4f5353bdacaaae23725ce54986bd51af2f3f648447491475bc61f2dd4fb3cbab3</cites><orcidid>0000-0002-0328-653X ; 0000-0001-7853-2240 ; 0000-0003-3840-6885 ; 0000-0002-3547-1596</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9780165$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9780165$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35605002$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sporer, Markus</creatorcontrib><creatorcontrib>Reich, Stefan</creatorcontrib><creatorcontrib>Kauffman, John G.</creatorcontrib><creatorcontrib>Ortmanns, Maurits</creatorcontrib><title>A Direct Digitizing Chopped Neural Recorder Using a Body-Induced Offset Based DC Servo Loop</title><title>IEEE transactions on biomedical circuits and systems</title><addtitle>TBCAS</addtitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><description><![CDATA[This article presents a direct digitizing neural recorder that uses a body-induced offset based DC servo loop to cancel electrode offset (EDO) on-chip. The bulk of the input pair is used to create an offset, counteracting the EDO. The architecture does not require AC coupling capacitors which enables the use of chopping without impedance boosting while maintaining a large input impedance of 238 M<inline-formula><tex-math notation="LaTeX">\Omega</tex-math></inline-formula> over the whole 10 kHz bandwidth. Implemented in a 180 nm HV-CMOS process, the prototype occupies a silicon area of only 0.02 mm 2 while consuming 12.8 μW and achieving 1.82 μV<inline-formula><tex-math notation="LaTeX">_{\text{rms}}</tex-math></inline-formula> of input-referred noise in the local field potential (LFP) band and a NEF of 5.75.]]></description><subject>Area-efficient</subject><subject>Bandwidth</subject><subject>biomedical</subject><subject>Capacitors</subject><subject>chopping</subject><subject>continuous-time delta–sigma modulator (CTDSM)</subject><subject>Couplings</subject><subject>Cutting</subject><subject>DC servo loop</subject><subject>Digitization</subject><subject>Digitizing</subject><subject>direct digitizing neural recorder</subject><subject>Electrophysiological recording</subject><subject>Impedance</subject><subject>Input impedance</subject><subject>low noise</subject><subject>neural recorder</subject><subject>neurorecording</subject><subject>offset cancellation</subject><subject>Recording</subject><subject>Servomotors</subject><subject>Signal to noise ratio</subject><issn>1932-4545</issn><issn>1940-9990</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1v1DAQhi0EoqXwB0BClrhwyWKPPxIfd1M-Kq2oRNsTh8ixxyXV7jrYCVL76_F2lx44zYzeZ0ajh5C3nC04Z-bT9apdXi2AASwEr2uQ_Bk55UayyhjDnu97AZVUUp2QVznfMaY0GHhJToTSTDEGp-Tnkp4PCd1Uyu0wDQ_D7pa2v-I4oqffcU52Q3-gi8ljojd5n1q6iv6-utj52RXoMoSME13ZXIbzll5h-hPpOsbxNXkR7Cbjm2M9IzdfPl-336r15deLdrmuHDR8qmRQQoneW2etRRA1KIdKmkb3XnEbIIigZSNlLQ2Xteqd5gG8l6EXrre9OCMfD3fHFH_PmKduO2SHm43dYZxzB1o3AFxIVtAP_6F3cU678l2hmkYbJgUUCg6USzHnhKEb07C16b7jrNur7x7Vd3v13VF9WXp_PD33W_RPK_9cF-DdARgQ8Sk2dcO4VuIvXAqF9w</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Sporer, Markus</creator><creator>Reich, Stefan</creator><creator>Kauffman, John G.</creator><creator>Ortmanns, Maurits</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0328-653X</orcidid><orcidid>https://orcid.org/0000-0001-7853-2240</orcidid><orcidid>https://orcid.org/0000-0003-3840-6885</orcidid><orcidid>https://orcid.org/0000-0002-3547-1596</orcidid></search><sort><creationdate>20220601</creationdate><title>A Direct Digitizing Chopped Neural Recorder Using a Body-Induced Offset Based DC Servo Loop</title><author>Sporer, Markus ; Reich, Stefan ; Kauffman, John G. ; Ortmanns, Maurits</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c281t-4f5353bdacaaae23725ce54986bd51af2f3f648447491475bc61f2dd4fb3cbab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Area-efficient</topic><topic>Bandwidth</topic><topic>biomedical</topic><topic>Capacitors</topic><topic>chopping</topic><topic>continuous-time delta–sigma modulator (CTDSM)</topic><topic>Couplings</topic><topic>Cutting</topic><topic>DC servo loop</topic><topic>Digitization</topic><topic>Digitizing</topic><topic>direct digitizing neural recorder</topic><topic>Electrophysiological recording</topic><topic>Impedance</topic><topic>Input impedance</topic><topic>low noise</topic><topic>neural recorder</topic><topic>neurorecording</topic><topic>offset cancellation</topic><topic>Recording</topic><topic>Servomotors</topic><topic>Signal to noise ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sporer, Markus</creatorcontrib><creatorcontrib>Reich, Stefan</creatorcontrib><creatorcontrib>Kauffman, John G.</creatorcontrib><creatorcontrib>Ortmanns, Maurits</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on biomedical circuits and systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sporer, Markus</au><au>Reich, Stefan</au><au>Kauffman, John G.</au><au>Ortmanns, Maurits</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Direct Digitizing Chopped Neural Recorder Using a Body-Induced Offset Based DC Servo Loop</atitle><jtitle>IEEE transactions on biomedical circuits and systems</jtitle><stitle>TBCAS</stitle><addtitle>IEEE Trans Biomed Circuits Syst</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>16</volume><issue>3</issue><spage>409</spage><epage>418</epage><pages>409-418</pages><issn>1932-4545</issn><eissn>1940-9990</eissn><coden>ITBCCW</coden><abstract><![CDATA[This article presents a direct digitizing neural recorder that uses a body-induced offset based DC servo loop to cancel electrode offset (EDO) on-chip. The bulk of the input pair is used to create an offset, counteracting the EDO. The architecture does not require AC coupling capacitors which enables the use of chopping without impedance boosting while maintaining a large input impedance of 238 M<inline-formula><tex-math notation="LaTeX">\Omega</tex-math></inline-formula> over the whole 10 kHz bandwidth. Implemented in a 180 nm HV-CMOS process, the prototype occupies a silicon area of only 0.02 mm 2 while consuming 12.8 μW and achieving 1.82 μV<inline-formula><tex-math notation="LaTeX">_{\text{rms}}</tex-math></inline-formula> of input-referred noise in the local field potential (LFP) band and a NEF of 5.75.]]></abstract><cop>United States</cop><pub>IEEE</pub><pmid>35605002</pmid><doi>10.1109/TBCAS.2022.3177241</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-0328-653X</orcidid><orcidid>https://orcid.org/0000-0001-7853-2240</orcidid><orcidid>https://orcid.org/0000-0003-3840-6885</orcidid><orcidid>https://orcid.org/0000-0002-3547-1596</orcidid></addata></record> |
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| ispartof | IEEE transactions on biomedical circuits and systems, 2022-06, Vol.16 (3), p.409-418 |
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| subjects | Area-efficient Bandwidth biomedical Capacitors chopping continuous-time delta–sigma modulator (CTDSM) Couplings Cutting DC servo loop Digitization Digitizing direct digitizing neural recorder Electrophysiological recording Impedance Input impedance low noise neural recorder neurorecording offset cancellation Recording Servomotors Signal to noise ratio |
| title | A Direct Digitizing Chopped Neural Recorder Using a Body-Induced Offset Based DC Servo Loop |
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