{"id":"https://openalex.org/W3161639382","doi":"https://doi.org/10.1109/cicc51472.2021.9431403","title":"A 53G\u03a9@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 \u03bcVrms Input-Referred Noise for Deep Brain Implants","display_name":"A 53G\u03a9@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 \u03bcVrms Input-Referred Noise for Deep Brain Implants","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3161639382","doi":"https://doi.org/10.1109/cicc51472.2021.9431403","mag":"3161639382"},"language":"en","primary_location":{"id":"doi:10.1109/cicc51472.2021.9431403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc51472.2021.9431403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031722478","display_name":"Hai Au Huynh","orcid":"https://orcid.org/0000-0003-2036-7259"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Hai Au Huynh","raw_affiliation_strings":["Aarhus university, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus university, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079420724","display_name":"Milad Zamani","orcid":"https://orcid.org/0000-0002-8718-7095"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Milad Zamani","raw_affiliation_strings":["Aarhus university, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus university, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049389756","display_name":"Margherita Ronchini","orcid":"https://orcid.org/0000-0003-3261-9644"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Margherita Ronchini","raw_affiliation_strings":["Aarhus university, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus university, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043348462","display_name":"Homan Farkhani","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Homan Farkhani","raw_affiliation_strings":["Aarhus university, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus university, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043716992","display_name":"Farshad Moradi","orcid":"https://orcid.org/0000-0001-7077-8545"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Farshad Moradi","raw_affiliation_strings":["Aarhus university, Aarhus, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aarhus university, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6220865249633789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476781129837036},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.5171819925308228},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3457448482513428},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34319403767585754},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3283247947692871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29284587502479553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20023247599601746}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6220865249633789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476781129837036},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.5171819925308228},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3457448482513428},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34319403767585754},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3283247947692871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29284587502479553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20023247599601746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cicc51472.2021.9431403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc51472.2021.9431403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/824aa38b-955f-4fdd-b6fb-35943427f38a","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/824aa38b-955f-4fdd-b6fb-35943427f38a","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/f82716d5-16c9-4b83-8295-43a61b6e13bd","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/f82716d5-16c9-4b83-8295-43a61b6e13bd","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2119909682","https://openalex.org/W2169866873","https://openalex.org/W2291728831"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2183768935","https://openalex.org/W2004123705","https://openalex.org/W289407349","https://openalex.org/W946106684","https://openalex.org/W4210681067","https://openalex.org/W1980195349","https://openalex.org/W1887737739","https://openalex.org/W4239954316","https://openalex.org/W2083892355"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"High-quality":[4],"brain":[5,12,23,30,47,62,91,98],"signal":[6,87,172],"acquisition":[7],"is":[8,138,163,183,267,313,377],"critically":[9],"important":[10,129,166],"in":[11,117,295,327,426],"research":[13],"for":[14,21,60,134,384],"diagnosis":[15],"and":[16,53,85,100,217,247,282,344,355,391,433],"treatment":[17],"purposes.":[18],"This":[19,114,200],"calls":[20],"a":[22,35,80,104,139,203,233,242,252,261,273,290,300,395,443],"interface":[24,340],"module":[25],"to":[26,44,69,123,148,168,189,315,360,414,441],"communicate":[27],"with":[28,49,209,299,394],"the":[29,46,50,94,97,101,109,112,132,150,161,170,174,181,187,222,227,245,248,310,318,322,332,339,342,345,362,367,371,380,386,401,411,416,420,423,427,430,436,457],"through":[31],"micro-scale":[32,36],"electrodes.":[33],"Such":[34],"electrode":[37],"system":[38,275],"requires":[39,276],"an":[40,128,136,165],"analog":[41],"front-end":[42],"(AFE)":[43],"amplify":[45,214],"signals":[48],"highest":[51],"quality":[52],"accuracy.":[54],"Recently,":[55],"fully":[56],"implantable":[57],"chronic":[58],"devices":[59],"long-term":[61],"recording":[63,78,92],"have":[64,316],"received":[65],"high":[66,74,86,140,205,234,301,392],"attention":[67],"due":[68],"several":[70],"benefits":[71],"such":[72,135,232],"as":[73,241,379],"stability,":[75],"possibility":[76],"of":[77,83,111,131,156,160,180,226,260,289,304,309,321,352,366,397,404,419,422,435,451,456,464],"from":[79],"specific":[81],"population":[82],"neurons,":[84],"quality.":[88],"In":[89],"deep":[90],"implants,":[93],"interaction":[95],"between":[96,244,269,341],"tissue":[99],"electrodes":[102],"causes":[103],"large":[105],"impedance":[106,115,142,152,207,320,329,364],"mismatch":[107,116,365],"at":[108,146,338],"input":[110,141,206,235,246,350,363,437],"AFE.":[113,229],"some":[118],"cases":[119],"can":[120,176,213],"be":[121],"up":[122],">1":[124],"MO":[125],"[2],":[126],"thus":[127],"requirement":[130],"AFE":[133,162,175,182,208,459],"application":[137,188],"(over":[143],"GO":[144],"range":[145,403],"DC)[3]":[147],"tolerate":[149],"electrode-tissue":[151],"mismatch.":[153],"The":[154,178,286,306,325,348,374,406,447],"performance":[155],"input-referred":[157],"noise":[158,408],"(IRN)":[159],"also":[164],"factor":[167],"determine":[169],"smallest":[171],"that":[173,212,336],"capture.":[177],"bandwidth":[179],"determined":[184],"based":[185],"on":[186],"capture":[190],"local":[191],"field":[192],"potential":[193,196],"(LFP),":[194],"action":[195],"(AP),":[197],"or":[198],"both.":[199],"paper":[201],"presents":[202],"multichannel,":[204],"low":[210,389,444],"IRN":[211,390,445],"both":[215,353],"LFP":[216],"AP":[218],"signals.":[219],"It":[220],"shows":[221],"overall":[223,372,466],"4-channels":[224],"architecture":[225],"proposed":[228],"To":[230],"achieve":[231,442],"impedance,":[236],"single-ended":[237],"amplifiers":[238],"are":[239,358,439],"used":[240],"buffer":[243,266,287,343],"second":[249],"stage,":[250],"i.e.":[251],"Capacitively":[253],"Coupled":[254],"Instrumentation":[255],"Amplifier":[256],"(CCIA)":[257],"making":[258],"use":[259,421],"chopper-stabilized":[262],"amplifier.":[263],"Each":[264],"reference":[265,284,311,354],"shared":[268],"two":[270],"channels,":[271],"thus,":[272,429],"4-channel":[274,458],"six":[277,452],"buffers":[278,281,312,357,412,453],"(4":[279],"channel":[280,323,356],"2":[283],"buffers).":[285],"consists":[288],"two-stage":[291],"differential-input":[292],"single-output":[293],"amplifier":[294,382],"negative":[296],"unit":[297],"feedback":[298],"open-loop":[302],"gain":[303,396],"60dB.":[305],"output":[307,319,328],"stage":[308,376,383],"optimized":[314],"half":[317],"buffers.":[324],"difference":[326],"allows":[330],"reducing":[331,385],"common-mode":[333],"voltage":[334],"mismatching":[335],"occurs":[337],"CCIA":[346,375],"stages.":[347],"differential":[349],"pair":[351],"identical":[359],"reduce":[361],"AFE,":[368],"which":[369],"affects":[370],"CMRR.":[373],"chosen":[378],"primary":[381],"offset,":[387],"achieving":[388],"CMRR":[393],"38":[398],"dB":[399],"over":[400],"frequency":[402],"2Hz-2.4kHz.":[405],"flicker":[407],"generated":[409],"by":[410],"continues":[413],"affect":[415],"circuit":[417],"regardless":[418],"chopper":[424],"stabilization":[425],"CCIA,":[428],"power":[431,467],"consumption":[432],"size":[434],"transistor":[438],"sacrificed":[440],"buffer.":[446],"total":[448],"active":[449],"area":[450,460],"occupies":[454],"20%":[455],"while":[461],"consuming":[462],"40%":[463],"its":[465],"consumption.":[468]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
