{"id":"https://openalex.org/W2550423489","doi":"https://doi.org/10.1109/vlsi-soc.2016.7753539","title":"A 1.62 \u00b5W 8-channel ultra-high input impedance EEG amplifier for dry and non-contact biopotential recording applications","display_name":"A 1.62 \u00b5W 8-channel ultra-high input impedance EEG amplifier for dry and non-contact biopotential recording applications","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2550423489","doi":"https://doi.org/10.1109/vlsi-soc.2016.7753539","mag":"2550423489"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc.2016.7753539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2016.7753539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"},"type":"article","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/A5029182395","display_name":"Mahshid Nasserian","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mahshid Nasserian","raw_affiliation_strings":["Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063360720","display_name":"Ali Peiravi","orcid":"https://orcid.org/0000-0003-4379-523X"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Peiravi","raw_affiliation_strings":["Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"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":["Department of Engineering, Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029182395"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.1656,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57019681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9980999827384949,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9950000047683716,"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/amplifier","display_name":"Amplifier","score":0.6311206221580505},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.5692115426063538},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5104457139968872},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4942924976348877},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.4829270541667938},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4069162905216217},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40144556760787964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4010798931121826},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.34200751781463623},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22613847255706787},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1580146849155426},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.096346914768219},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09185194969177246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08322182297706604}],"concepts":[{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.6311206221580505},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.5692115426063538},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5104457139968872},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4942924976348877},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.4829270541667938},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4069162905216217},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40144556760787964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4010798931121826},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.34200751781463623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22613847255706787},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1580146849155426},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.096346914768219},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09185194969177246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08322182297706604}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vlsi-soc.2016.7753539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2016.7753539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/d0fa4565-c141-4c2d-976b-8197e7dd2c33","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/d0fa4565-c141-4c2d-976b-8197e7dd2c33","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nasserian, M, Peiravi, A & Moradi, F 2016, A 1.62 \u00b5W 8-Channel Ultra-High Input Impedance EEG Amplifier for Dry and Non-Contact Biopotential Recording Applications. in 2016 IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2016 : VLSI-SoC . vol. 2016, 7753539, IEEE Press, 2016 IFIP/IEEE International Conference on Very Large Scale Integration , Tallinn, Estonia, 26/09/2016. https://doi.org/10.1109/VLSI-SoC.2016.7753539","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1562178737","https://openalex.org/W1958697927","https://openalex.org/W2019669687","https://openalex.org/W2025539904","https://openalex.org/W2047490963","https://openalex.org/W2109178308","https://openalex.org/W2113531681","https://openalex.org/W2126390573","https://openalex.org/W2136177393","https://openalex.org/W2139496054","https://openalex.org/W2140410836","https://openalex.org/W2142239365","https://openalex.org/W2145988291","https://openalex.org/W2169766445","https://openalex.org/W6655474167"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,52,93,113],"low-power":[4],"electroencephalogram":[5],"(EEG)":[6],"analog":[7],"front-end":[8],"(AFE)":[9],"with":[10,36],"ultra-high":[11],"input":[12,33,44,72],"impedance":[13,34,45],"is":[14],"presented.":[15],"This":[16,91],"AFE":[17,69],"can":[18],"be":[19],"utilized":[20],"for":[21],"both":[22],"dry":[23],"and":[24,51,70,83],"non-contact":[25],"biomedical":[26],"applications":[27],"due":[28],"to":[29],"its":[30,71],"very":[31],"high":[32],"along":[35],"DC":[37],"signal":[38],"suppression.":[39],"The":[40,62,100],"amplifier":[41],"achieves":[42],"an":[43],"of":[46,65,98],"45":[47],"fF":[48],"\u22251":[49],"T\u03a9":[50],"common":[53],"mode":[54],"rejection":[55],"ratio":[56],"(CMRR)":[57],"higher":[58],"than":[59],"110":[60],"dB.":[61],"power":[63,117],"consumption":[64],"the":[66,76,106],"proposed":[67],"8-channel":[68],"referred":[73],"noise":[74,94],"over":[75],"0.5-100":[77],"Hz":[78],"bandwidth":[79],"are":[80,102],"1.62":[81],"\u03bcW":[82],"2.62":[84],"\u03bcV":[85],"<sub":[86],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rms</sub>":[88],",":[89],"respectively.":[90],"yields":[92],"efficiency":[95],"factor":[96],"(NEF)":[97],"3.11.":[99],"simulations":[101],"carried":[103],"out":[104],"in":[105],"180":[107],"nm":[108],"standard":[109],"CMOS":[110],"technology":[111],"using":[112],"\u00b1":[114],"0.5":[115],"V":[116],"supply.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
