{"id":"https://openalex.org/W2765802510","doi":"https://doi.org/10.1587/elex.14.20170984","title":"A granular resampling method based energy-efficient architecture for heartbeat classification in ECG","display_name":"A granular resampling method based energy-efficient architecture for heartbeat classification in ECG","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765802510","doi":"https://doi.org/10.1587/elex.14.20170984","mag":"2765802510"},"language":"en","primary_location":{"id":"doi:10.1587/elex.14.20170984","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170984","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/22/14_14.20170984/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/elex/14/22/14_14.20170984/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101764131","display_name":"Yin Xu","orcid":"https://orcid.org/0000-0003-0380-6846"},"institutions":[{"id":"https://openalex.org/I4210092088","display_name":"Zhejiang Province Institute of Architectural Design and Research","ror":"https://ror.org/00f89ms08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092088"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Xu","raw_affiliation_strings":["Institute of VLSI Design, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of VLSI Design, Zhejiang University","institution_ids":["https://openalex.org/I4210092088","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103244132","display_name":"Zhijian Chen","orcid":"https://orcid.org/0000-0002-2860-7950"},"institutions":[{"id":"https://openalex.org/I4210092088","display_name":"Zhejiang Province Institute of Architectural Design and Research","ror":"https://ror.org/00f89ms08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092088"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Chen","raw_affiliation_strings":["Institute of VLSI Design, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of VLSI Design, Zhejiang University","institution_ids":["https://openalex.org/I4210092088","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046536624","display_name":"Xiaoyan Xiang","orcid":"https://orcid.org/0000-0002-5602-2749"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Xiang","raw_affiliation_strings":["State Key Laboratory of ASIC and System, Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022767878","display_name":"Jianyi Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyi Meng","raw_affiliation_strings":["State Key Laboratory of ASIC and System, Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25346541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"22","first_page":"20170984","last_page":"20170984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9909999966621399,"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/heartbeat","display_name":"Heartbeat","score":0.9195635914802551},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.758798360824585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605012834072113},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5429409146308899},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47621211409568787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4578486979007721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4398399293422699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.207516610622406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16848960518836975},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.057227134704589844}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.9195635914802551},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.758798360824585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605012834072113},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5429409146308899},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47621211409568787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4578486979007721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4398399293422699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.207516610622406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16848960518836975},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.057227134704589844},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/elex.14.20170984","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170984","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/22/14_14.20170984/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/elex.14.20170984","is_oa":true,"landing_page_url":"https://doi.org/10.1587/elex.14.20170984","pdf_url":"https://www.jstage.jst.go.jp/article/elex/14/22/14_14.20170984/_pdf","source":{"id":"https://openalex.org/S207433681","display_name":"IEICE Electronics Express","issn_l":"1349-2543","issn":["1349-2543","1349-9467"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Electronics Express","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8500000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765802510.pdf","grobid_xml":"https://content.openalex.org/works/W2765802510.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1988183757","https://openalex.org/W2032395263","https://openalex.org/W2080722785","https://openalex.org/W2108396267","https://openalex.org/W2146194630","https://openalex.org/W2147813562","https://openalex.org/W2291961022","https://openalex.org/W2336039551","https://openalex.org/W2346457778","https://openalex.org/W2594344251"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2315807364","https://openalex.org/W2382278803","https://openalex.org/W2803040299","https://openalex.org/W2376695684","https://openalex.org/W2034075638","https://openalex.org/W2053322856"],"abstract_inverted_index":{"SVM-based":[0],"granular":[1],"resampling":[2],"method":[3],"is":[4,46],"put":[5],"forward":[6],"to":[7,25,34,59,67,75],"obtain":[8],"a":[9,22,31,89],"robust":[10],"classification":[11,18,45,51,97],"model":[12,19,24],"for":[13,42],"energy-efficient":[14],"ECG":[15],"systems.":[16],"The":[17,53],"consists":[20],"of":[21],"low-complexity":[23,103],"filter":[26],"most":[27],"easy-to-learn":[28],"heartbeats":[29],"and":[30,63,88],"high-accuracy":[32],"classifier":[33],"identify":[35],"the":[36,50,77,100],"remained":[37],"heartbeats.":[38],"Energy-efficient":[39],"hardware":[40],"architecture":[41,54],"multi-class":[43],"heartbeat":[44],"implemented":[47],"based":[48],"on":[49],"model.":[52],"optimizations":[55],"include":[56],"memory":[57],"segmentation":[58],"reduce":[60],"energy":[61,91],"consumption":[62],"time":[64],"domain":[65],"reuse":[66],"save":[68],"resources.":[69],"We":[70],"adopt":[71],"40-nm":[72],"CMOS":[73],"process":[74],"implement":[76],"proposed":[78],"design.":[79],"It":[80],"provides":[81],"an":[82],"average":[83],"prediction":[84],"speedup":[85],"by":[86,94],"57.21%":[87],"significant":[90],"dissipation":[92],"reduction":[93],"52.22%":[95],"per":[96],"compared":[98],"with":[99],"design":[101],"without":[102],"models.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
