{"id":"https://openalex.org/W2760553258","doi":"https://doi.org/10.1109/iscas.2017.8050347","title":"Online adaptive data acquisition enabling ultra-low power real-world EEG","display_name":"Online adaptive data acquisition enabling ultra-low power real-world EEG","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2760553258","doi":"https://doi.org/10.1109/iscas.2017.8050347","mag":"2760553258"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2017.8050347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5038431329","display_name":"Michael W. Nonte","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I4210119806","display_name":"DCS Corporation (United States)","ror":"https://ror.org/02gdz0643","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119806"]},{"id":"https://openalex.org/I4388482696","display_name":"Naval Research Laboratory Information Technology Division","ror":"https://ror.org/04xfp8b22","country_code":null,"type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028","https://openalex.org/I4388482696"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. W. Nonte","raw_affiliation_strings":["Advanced Sciences Branch, DCS Corporation, Alexandria, VA","Human Research and Engineering Directorate, US Army Research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Sciences Branch, DCS Corporation, Alexandria, VA","institution_ids":["https://openalex.org/I4210119806","https://openalex.org/I4388482696"]},{"raw_affiliation_string":"Human Research and Engineering Directorate, US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111507565","display_name":"Joseph Conroy","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Conroy","raw_affiliation_strings":["Sensors and Electron Devices Directorate, US Army Research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensors and Electron Devices Directorate, US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080677617","display_name":"Peter Gadfort","orcid":"https://orcid.org/0000-0002-2591-7670"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Gadfort","raw_affiliation_strings":["Sensors and Electron Devices Directorate, US Army Research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensors and Electron Devices Directorate, US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017793756","display_name":"W. David Hairston","orcid":"https://orcid.org/0000-0003-4432-8430"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. D. Hairston","raw_affiliation_strings":["Human Research and Engineering Directorate, US Army Research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Research and Engineering Directorate, US Army Research Laboratory","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6813,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63008918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"113","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9980000257492065,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.733901858329773},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.720854640007019},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5528172254562378},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5215408802032471},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5044695138931274},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4715207815170288},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45364734530448914},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43480509519577026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3595618009567261},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16244477033615112},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1595408022403717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733901858329773},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.720854640007019},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5528172254562378},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5215408802032471},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5044695138931274},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4715207815170288},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45364734530448914},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43480509519577026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3595618009567261},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16244477033615112},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1595408022403717},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2017.8050347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W130198508","https://openalex.org/W222803883","https://openalex.org/W345127250","https://openalex.org/W820156238","https://openalex.org/W1937389136","https://openalex.org/W1973953659","https://openalex.org/W1979167387","https://openalex.org/W1986762730","https://openalex.org/W1995451961","https://openalex.org/W1995889641","https://openalex.org/W2008747572","https://openalex.org/W2040755506","https://openalex.org/W2105270819","https://openalex.org/W2106006415","https://openalex.org/W2121528650","https://openalex.org/W2140298169","https://openalex.org/W2167677017","https://openalex.org/W2626033875","https://openalex.org/W6608827970","https://openalex.org/W6739448569"],"related_works":["https://openalex.org/W4372306488","https://openalex.org/W4210912696","https://openalex.org/W2075579715","https://openalex.org/W2946070927","https://openalex.org/W2388668112","https://openalex.org/W2104766064","https://openalex.org/W2069972811","https://openalex.org/W2160652815","https://openalex.org/W2113484876","https://openalex.org/W2386982864"],"abstract_inverted_index":{"A":[0],"continuing":[1],"challenge":[2],"to":[3,101,105],"measuring":[4],"EEG":[5,41],"outside":[6],"of":[7,61],"laboratory":[8],"environments":[9],"is":[10,18,98],"high":[11,29],"noise":[12],"and":[13,32],"low":[14,99],"SNR,":[15],"which":[16],"traditionally":[17],"overcome":[19],"using":[20,110],"low-noise,":[21],"high-resolution":[22,51],"DAQ":[23],"components.":[24],"These":[25],"devices":[26],"have":[27],"a":[28,66,88],"power":[30,56,95,106],"consumption":[31,57,96],"require":[33],"frequent":[34],"charging,":[35],"making":[36],"them":[37],"impractical":[38],"for":[39,87],"fieldable":[40],"technology.":[42],"Here,":[43],"we":[44,72],"discuss":[45],"an":[46,75,93],"alternative":[47],"approach":[48],"that":[49,74,97],"achieves":[50],"signal":[52],"acquisition":[53,78],"with":[54,84,92],"ultra-low":[55],"by":[58],"modulating":[59],"components":[60],"the":[62,107,114],"analog":[63],"front-end":[64],"on":[65],"sample-by-sample":[67],"basis.":[68],"In":[69],"this":[70],"work":[71],"show":[73],"adaptive":[76],"data":[77],"system":[79,108],"can":[80],"sample":[81],"neural":[82],"activity":[83],"sufficient":[85],"resolution":[86],"common":[89],"BCI":[90],"task":[91],"average":[94],"enough":[100],"make":[102],"it":[103],"feasible":[104],"entirely":[109],"energy":[111],"harvested":[112],"from":[113],"environment.":[115]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
