{"id":"https://openalex.org/W2321268517","doi":"https://doi.org/10.1109/embc.2014.6944759","title":"Adaptive coherent averaging for real-time electrocardiogram enhancement","display_name":"Adaptive coherent averaging for real-time electrocardiogram enhancement","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2321268517","doi":"https://doi.org/10.1109/embc.2014.6944759","mag":"2321268517","pmid":"https://pubmed.ncbi.nlm.nih.gov/25571127"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5039652914","display_name":"Brent W. Robinson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brent W. Robinson","raw_affiliation_strings":["Electrical Engineering Department, University of Texas, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Texas, Dallas, TX, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085448346","display_name":"Mohammad Saquib","orcid":"https://orcid.org/0000-0002-9641-2397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Saquib","raw_affiliation_strings":["Electrical Engineering Department, University of Texas, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Texas, Dallas, TX, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8735,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74387646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"5048","last_page":"5051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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":0.9988999962806702,"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/robustness","display_name":"Robustness (evolution)","score":0.7081723213195801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627811193466187},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5854743123054504},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5745850205421448},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5372083187103271},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.47932207584381104},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46538060903549194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45125991106033325},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.43927279114723206},{"id":"https://openalex.org/keywords/signal-to-interference-ratio","display_name":"Signal-to-interference ratio","score":0.4119122624397278},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40608707070350647},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33957329392433167},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.16947579383850098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12618553638458252},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09026491641998291}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7081723213195801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627811193466187},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5854743123054504},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5745850205421448},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5372083187103271},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.47932207584381104},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46538060903549194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45125991106033325},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.43927279114723206},{"id":"https://openalex.org/C75613536","wikidata":"https://www.wikidata.org/wiki/Q4138870","display_name":"Signal-to-interference ratio","level":3,"score":0.4119122624397278},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40608707070350647},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33957329392433167},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.16947579383850098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12618553638458252},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09026491641998291},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009200","descriptor_name":"Myocardial Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009200","descriptor_name":"Myocardial Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009200","descriptor_name":"Myocardial Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25571127","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25571127","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W1535810436","https://openalex.org/W1576886582","https://openalex.org/W2002069843","https://openalex.org/W2008429100","https://openalex.org/W2043967021","https://openalex.org/W2087660979","https://openalex.org/W2102406499","https://openalex.org/W2104563593","https://openalex.org/W2110075977","https://openalex.org/W2125927307","https://openalex.org/W2132904166","https://openalex.org/W2160294857","https://openalex.org/W2163430278","https://openalex.org/W2543097896","https://openalex.org/W6632223199","https://openalex.org/W6677917490","https://openalex.org/W6729321873"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W3040496336","https://openalex.org/W2144530466","https://openalex.org/W3134357585","https://openalex.org/W2476510629","https://openalex.org/W2105767219","https://openalex.org/W2792824092","https://openalex.org/W2612844333","https://openalex.org/W2253481662","https://openalex.org/W2982106677"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,67],"adaptive":[4,35,53],"coherent":[5],"averaging":[6],"structure":[7,27,77],"capable":[8],"of":[9,22,33,60,74],"removing":[10],"broad-band":[11],"interference":[12],"from":[13],"the":[14,19,23,29,34,61,75],"electrocardiogram":[15],"(ECG)":[16],"while":[17,39],"preserving":[18],"morphological":[20],"features":[21],"signal.":[24],"The":[25,45,71],"proposed":[26,76],"improves":[28],"signal-to-noise":[30],"ratio":[31],"(SNR)":[32],"line":[36],"enhancer":[37],"(ALE)":[38],"maintaining":[40],"robustness":[41],"to":[42,66],"quasi-periodic":[43],"signals.":[44],"least":[46],"mean-square":[47],"(LMS)":[48],"and":[49,58,81],"recursive":[50],"least-square":[51],"(RLS)":[52],"algorithms":[54],"are":[55],"implemented.":[56],"Analysis":[57],"comparison":[59],"results":[62],"is":[63,78],"provided,":[64],"leading":[65],"optimized":[68],"hybrid":[69],"implementation.":[70],"cascade":[72],"nature":[73],"both":[79],"scalable":[80],"suitable":[82],"for":[83],"implementation":[84],"in":[85],"real-time":[86],"hardware.":[87]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}