{"id":"https://openalex.org/W2084423347","doi":"https://doi.org/10.1109/tcsii.2014.2387677","title":"Quantization Effects in an Analog-to-Information Front End in EEG Telemonitoring","display_name":"Quantization Effects in an Analog-to-Information Front End in EEG Telemonitoring","publication_year":2015,"publication_date":"2015-01-05","ids":{"openalex":"https://openalex.org/W2084423347","doi":"https://doi.org/10.1109/tcsii.2014.2387677","mag":"2084423347"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2014.2387677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2014.2387677","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5014929946","display_name":"Aosen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aosen Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York (SUNY), Buffalo, NY, USA","Department of Computer Science & Engineering, State University of New York, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York (SUNY), Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035679293","display_name":"Wenyao Xu","orcid":"https://orcid.org/0000-0001-6444-9411"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyao Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, State University of New York (SUNY), Buffalo, NY, USA","Department of Computer Science & Engineering, State University of New York, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, State University of New York (SUNY), Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, State University of New York, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044439388","display_name":"Zhanpeng Jin","orcid":"https://orcid.org/0000-0002-3020-3736"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhanpeng Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA","[Dept. of Electr. & Comput. Eng., Binghamton Univ. SUNY, Binghamton, NY, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Binghamton Univ. SUNY, Binghamton, NY, USA]","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111918002","display_name":"Fang Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I66217453","display_name":"Cadence Design Systems (United States)","ror":"https://ror.org/04w8xa018","country_code":"US","type":"company","lineage":["https://openalex.org/I66217453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Gong","raw_affiliation_strings":["Cadence Design Systems Inc., San Jose, CA, USA","Cadence Design Systems, Inc.,San Jose,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cadence Design Systems Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I66217453"]},{"raw_affiliation_string":"Cadence Design Systems, Inc.,San Jose,CA,USA","institution_ids":["https://openalex.org/I66217453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5858,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88365045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"62","issue":"2","first_page":"104","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.8388762474060059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623401939868927},{"id":"https://openalex.org/keywords/analog-front-end","display_name":"Analog front-end","score":0.535286545753479},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4760420322418213},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.415299654006958},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.37598860263824463},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34258121252059937},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33199983835220337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31779006123542786},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12857085466384888},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12660512328147888},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11566141247749329}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8388762474060059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623401939868927},{"id":"https://openalex.org/C2778870119","wikidata":"https://www.wikidata.org/wiki/Q16002927","display_name":"Analog front-end","level":3,"score":0.535286545753479},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4760420322418213},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.415299654006958},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.37598860263824463},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34258121252059937},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33199983835220337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31779006123542786},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12857085466384888},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12660512328147888},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11566141247749329},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2014.2387677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2014.2387677","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1514907448","https://openalex.org/W2003352387","https://openalex.org/W2020122740","https://openalex.org/W2025950086","https://openalex.org/W2026293753","https://openalex.org/W2037678563","https://openalex.org/W2105119992","https://openalex.org/W2109449402","https://openalex.org/W2153134014","https://openalex.org/W2154828290","https://openalex.org/W2161893827","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6630611256"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Energy":[0],"in":[1,12,57,63,80,107,171],"wireless":[2],"communication":[3],"is":[4,167],"the":[5,9,44,49,53,64,72,78,87,94,99,104,112,116,123,127,133,141,147,151,158,165,172],"dominant":[6],"sector":[7],"of":[8,36,55,75,96,103,150],"energy":[10],"consumption":[11],"electroencephalography":[13],"(EEG)":[14],"telemonitoring":[15],"due":[16],"to":[17,31,47,92,111,157],"intrinsically":[18],"high":[19],"throughput.":[20],"Analog-to-information":[21],"conversion,":[22],"i.e.,":[23],"compressed":[24],"sensing":[25],"(CS),":[26],"offers":[27],"a":[28,168],"promising":[29],"solution":[30],"attack":[32],"this":[33,68],"problem.":[34],"Most":[35],"previous":[37],"research":[38,65],"work":[39],"on":[40,43,98],"CS":[41,58,76,89,114,174],"focus":[42],"sparse":[45],"representation":[46],"reduce":[48],"signal":[50],"dimension,":[51],"but":[52],"impact":[54],"quantization":[56,73,97,166],"has":[59],"had":[60],"limited":[61],"examination":[62],"community.":[66],"In":[67,83],"brief,":[69],"we":[70,85],"investigate":[71],"effects":[74],"with":[77,115,126],"application":[79,148],"EEG":[81,108],"telemonitoring.":[82,109],"particular,":[84],"study":[86],"quantized":[88],"(QCS)":[90],"structure":[91],"explore":[93],"impacts":[95],"performance-energy":[100],"(P-E)":[101],"tradeoff":[102,135],"front":[105],"end":[106],"Compared":[110],"state-of-the-art":[113],"constant":[117],"bit":[118,129,143],"resolution,":[119],"experiments":[120],"show":[121],"that":[122,164],"QCS":[124,152],"framework":[125,153],"optimal":[128,142],"resolution":[130],"can":[131],"improve":[132],"P-E":[134],"by":[136,154],"more":[137],"than":[138],"35%.":[139],"Furthermore,":[140],"strategy":[144],"even":[145],"broadens":[146],"range":[149],"54%":[155],"compared":[156],"traditional":[159],"Nyquist":[160],"sampling,":[161],"which":[162],"indicates":[163],"critical":[169],"factor":[170],"entire":[173],"framework.":[175]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
