{"id":"https://openalex.org/W2317011075","doi":"https://doi.org/10.1109/biocas.2014.6981769","title":"Ultra-low power neural stimulator for electrode interfaces","display_name":"Ultra-low power neural stimulator for electrode interfaces","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2317011075","doi":"https://doi.org/10.1109/biocas.2014.6981769","mag":"2317011075"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5084554645","display_name":"Sudip Nag","orcid":"https://orcid.org/0000-0003-3185-0983"},"institutions":[{"id":"https://openalex.org/I4210131313","display_name":"National Neuroscience Institute","ror":"https://ror.org/03d58dr58","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210131313"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sudip Nag","raw_affiliation_strings":["NUS, Singapore Institute for Neurotechnology (SINAPSE), Singapore"],"affiliations":[{"raw_affiliation_string":"NUS, Singapore Institute for Neurotechnology (SINAPSE), Singapore","institution_ids":["https://openalex.org/I4210131313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030125097","display_name":"Dinesh Kumar Sharma","orcid":"https://orcid.org/0000-0001-7034-4739"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"funder","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dinesh Sharma","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Bombay, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088964967","display_name":"Nitish V. Thakor","orcid":"https://orcid.org/0000-0002-9981-9395"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"funder","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitish V. Thakor","raw_affiliation_strings":["Department of Biomedical Engineering, Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.478,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.548209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"488","last_page":"491"},"is_retracted":false,"is_paratext":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":0.9996,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9989,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/output-impedance","display_name":"Output impedance","score":0.49386984}],"concepts":[{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5324192},{"id":"https://openalex.org/C52192207","wikidata":"https://www.wikidata.org/wiki/Q5322","display_name":"Capacitor","level":3,"score":0.5038807},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.4971111},{"id":"https://openalex.org/C58112919","wikidata":"https://www.wikidata.org/wiki/Q631203","display_name":"Output impedance","level":3,"score":0.49386984},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.4705684},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.43784252},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41710848},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4094996},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.37598073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3661295},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32144773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22924677},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.095285654},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.88,"display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":4,"referenced_works":["https://openalex.org/W2066770019","https://openalex.org/W2124769914","https://openalex.org/W2136706929","https://openalex.org/W45913439"],"related_works":["https://openalex.org/W4391216616","https://openalex.org/W4386577649","https://openalex.org/W4297786912","https://openalex.org/W4255518127","https://openalex.org/W2572422521","https://openalex.org/W2372103355","https://openalex.org/W2356432821","https://openalex.org/W2345433773","https://openalex.org/W2135402579","https://openalex.org/W2026961927"],"abstract_inverted_index":{"Power":[0],"loss":[1,40],"at":[2],"the":[3,138],"output":[4,50,67],"stage":[5,69],"of":[6,84,111,137],"conventional":[7,131],"constant":[8],"current":[9,61],"neural":[10],"stimulators":[11,134],"is":[12,16,27,82,150],"notably":[13],"high.":[14],"This":[15],"particularly":[17],"disadvantageous":[18],"for":[19,36,53,74,89],"applications":[20],"in":[21,77,163],"implantable":[22],"systems":[23],"where":[24],"power":[25,39,78,100,109,122,129],"budget":[26],"limited.":[28],"We":[29],"present":[30],"a":[31,48,94],"novel":[32],"electrical":[33],"stimulator":[34,64,101,123],"architecture":[35,124],"significantly":[37],"reduced":[38],"and":[41,70,103,114,135,166],"low":[42,71,121],"noise":[43,145],"operation.":[44],"The":[45,63,80,97,120],"system":[46],"generates":[47],"calibrated":[49],"voltage":[51],"profile":[52],"driving":[54],"electrode":[55,162],"impedance":[56],"with":[57,158],"an":[58],"approximate":[59],"biphasic":[60],"stimulation.":[62,170],"utilizes":[65],"switched-capacitor":[66],"driver":[68],"speed":[72],"operations":[73],"substantial":[75],"reduction":[76],"loss.":[79],"hardware":[81],"capable":[83],"generating":[85],"on-demand":[86],"clock":[87],"signals":[88],"appropriate":[90],"switching":[91],"events":[92],"through":[93,152],"feedback":[95],"mechanism.":[96],"self-clocking":[98],"ultra-low":[99],"front-end":[102],"its":[104],"controller":[105],"exhibits":[106],"quasi-stable":[107],"quiescent":[108],"consumption":[110],"3.75":[112],"\u03bcW":[113],"raw":[115],"efficiency":[116],"up":[117],"to":[118,147],"98%.":[119],"consumes":[125],"nearly":[126],"70%":[127],"less":[128],"than":[130],"linear":[132],"mode":[133],"half":[136],"reported":[139],"state-of-the":[140],"art":[141],"design.":[142,154],"Output":[143],"peak-to-peak":[144],"down":[146],"20":[148],"mV":[149],"achieved":[151],"this":[153],"Demonstrations":[155],"are":[156],"shown":[157],"RC":[159],"impedance,":[160],"platinum-iridium":[161],"saline":[164],"solution":[165],"in-vivo":[167],"somatosensory":[168],"cortex":[169]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2317011075","counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-03-23T13:59:49.932385","created_date":"2016-06-24"}