{"id":"https://openalex.org/W3185337636","doi":"https://doi.org/10.1109/tcsii.2021.3099056","title":"An Ultra-Low Power RSSI Amplifier for EEG Feature Extraction to Detect Seizures","display_name":"An Ultra-Low Power RSSI Amplifier for EEG Feature Extraction to Detect Seizures","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3185337636","doi":"https://doi.org/10.1109/tcsii.2021.3099056","mag":"3185337636"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2021.3099056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3099056","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/A5100401887","display_name":"Yuqing Zhang","orcid":"https://orcid.org/0000-0001-8773-803X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuqing Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032036438","display_name":"Nikita Mirchandani","orcid":"https://orcid.org/0000-0001-8932-9854"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikita Mirchandani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011279100","display_name":"Safaa Abdelfattah","orcid":"https://orcid.org/0000-0003-0455-1451"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Safaa Abdelfattah","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082452997","display_name":"Marvin Onabajo","orcid":"https://orcid.org/0000-0002-6044-3693"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marvin Onabajo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020694155","display_name":"Aatmesh Shrivastava","orcid":"https://orcid.org/0000-0002-5738-9868"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aatmesh Shrivastava","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100401887"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.8462,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69538459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"69","issue":"2","first_page":"329","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/amplifier","display_name":"Amplifier","score":0.6439056992530823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979619026184082},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5819716453552246},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5784479379653931},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.5556789636611938},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5434823036193848},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.497069388628006},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.49132171273231506},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44585585594177246},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44135838747024536},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.4377444088459015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3702818751335144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35002315044403076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2406233251094818},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11498227715492249},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10544806718826294}],"concepts":[{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.6439056992530823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979619026184082},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5819716453552246},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5784479379653931},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.5556789636611938},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5434823036193848},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.497069388628006},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.49132171273231506},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44585585594177246},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44135838747024536},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4377444088459015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3702818751335144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35002315044403076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2406233251094818},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11498227715492249},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10544806718826294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2021.3099056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3099056","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G3938368818","display_name":null,"funder_award_id":"CNS 1812588","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2007306354","https://openalex.org/W2016323691","https://openalex.org/W2026225680","https://openalex.org/W2030967249","https://openalex.org/W2075105523","https://openalex.org/W2085350184","https://openalex.org/W2163462485","https://openalex.org/W2169766445","https://openalex.org/W2291800656","https://openalex.org/W2340203840","https://openalex.org/W2614364230","https://openalex.org/W2739342238","https://openalex.org/W2801723981","https://openalex.org/W2898165383","https://openalex.org/W2967270975","https://openalex.org/W2982414122","https://openalex.org/W3008212765","https://openalex.org/W3089636211","https://openalex.org/W3091419554"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2023858428","https://openalex.org/W2126963364","https://openalex.org/W2157802116","https://openalex.org/W3047813805","https://openalex.org/W2113057816","https://openalex.org/W2144928230","https://openalex.org/W4280522623","https://openalex.org/W2789062182","https://openalex.org/W2995582362"],"abstract_inverted_index":{"This":[0],"brief":[1],"presents":[2],"an":[3,64],"ultra-low":[4],"power":[5,87],"received":[6],"signal":[7],"strength":[8],"indicator":[9],"(RSSI)":[10],"amplifier":[11,47],"circuit":[12,48,81],"that":[13,83],"can":[14],"be":[15],"used":[16],"to":[17,55],"detect":[18],"seizures":[19],"through":[20],"feature":[21,29],"extraction":[22,30],"from":[23],"electroencephalography":[24],"(EEG)":[25],"signals.":[26],"The":[27],"RSSI-based":[28],"method":[31],"provides":[32],"a":[33,86,92,98],"low-power":[34],"area-efficient":[35],"solution":[36],"for":[37],"analog":[38],"computing":[39],"based":[40],"seizure":[41],"detection":[42],"hardware.":[43],"A":[44],"6-stage":[45],"RSSI":[46,80],"was":[49],"designed":[50],"in":[51],"65nm":[52],"CMOS":[53],"technology":[54],"cover":[56],"the":[57,79],"dynamic":[58,94],"range":[59],"of":[60,66,78,89,101],"EEG":[61],"signals":[62],"with":[63],"area":[65],"<inline-formula>":[67],"<tex-math":[68],"notation=\"LaTeX\">${266\\mu":[69],"m":[70],"\\times":[71],"531":[72],"\\mu":[73],"m}$":[74],"</tex-math></inline-formula>.":[75],"Measurement":[76],"results":[77],"show":[82],"it":[84],"has":[85,97],"consumption":[88],"31.6nW,":[90],"covers":[91],"45dB":[93],"range,":[95],"and":[96],"linearity":[99],"error":[100],"less":[102],"than":[103],"&#x00B1;1dB.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}