{"id":"https://openalex.org/W2091026599","doi":"https://doi.org/10.1109/tsp.2011.2173336","title":"Efficient Compression of QRS Complexes Using Hermite Expansion","display_name":"Efficient Compression of QRS Complexes Using Hermite Expansion","publication_year":2011,"publication_date":"2011-10-27","ids":{"openalex":"https://openalex.org/W2091026599","doi":"https://doi.org/10.1109/tsp.2011.2173336","mag":"2091026599"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2173336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2173336","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5023723304","display_name":"Aliaksei Sandryhaila","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aliaksei Sandryhaila","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041049848","display_name":"Samir Saba","orcid":"https://orcid.org/0000-0003-4669-803X"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I4210134769","display_name":"University of Pittsburgh Medical Center","ror":"https://ror.org/04ehecz88","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210098814","https://openalex.org/I4210134769"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samir Saba","raw_affiliation_strings":["Cardiovascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA","Cardiovascular Inst., Univ. of Pittsburgh Med. Center, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Cardiovascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210134769"]},{"raw_affiliation_string":"Cardiovascular Inst., Univ. of Pittsburgh Med. Center, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076407181","display_name":"Markus P\u00fcschel","orcid":"https://orcid.org/0000-0001-8834-8551"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Markus Puschel","raw_affiliation_strings":["Department of Computer Science, ETH Zurich, Switzerland","Department of Computer Science, ETH Zurich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Department of Computer Science, ETH Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101863660","display_name":"Jelena Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0003-0139-2803"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jelena Kovacevic","raw_affiliation_strings":["Departments of Biomedical Engineering and Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Dept. of Biomed. Eng., Carnegie-Mellon Univ., Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Biomedical Engineering and Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Carnegie-Mellon Univ., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023723304"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.1495,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.88495169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":"2","first_page":"947","last_page":"955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9962000250816345,"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/hermite-polynomials","display_name":"Hermite polynomials","score":0.8475373387336731},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6259247660636902},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6136490106582642},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5096726417541504},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44931477308273315},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.44903090596199036},{"id":"https://openalex.org/keywords/orthogonal-functions","display_name":"Orthogonal functions","score":0.4300358295440674},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42721259593963623},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41351187229156494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.320737361907959},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.30726727843284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17283698916435242},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.14378118515014648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09726941585540771}],"concepts":[{"id":"https://openalex.org/C201362023","wikidata":"https://www.wikidata.org/wiki/Q658574","display_name":"Hermite polynomials","level":2,"score":0.8475373387336731},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6259247660636902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6136490106582642},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5096726417541504},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44931477308273315},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.44903090596199036},{"id":"https://openalex.org/C135925592","wikidata":"https://www.wikidata.org/wiki/Q2637908","display_name":"Orthogonal functions","level":2,"score":0.4300358295440674},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42721259593963623},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41351187229156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.320737361907959},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.30726727843284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17283698916435242},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.14378118515014648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09726941585540771},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2011.2173336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2173336","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.658.3981","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.3981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jelena.ece.cmu.edu/repository/journals/12_SandryhailaSPK.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W589060377","https://openalex.org/W1506933769","https://openalex.org/W1593505867","https://openalex.org/W1600546103","https://openalex.org/W1822031895","https://openalex.org/W1832762830","https://openalex.org/W1876712846","https://openalex.org/W1998849268","https://openalex.org/W2017487767","https://openalex.org/W2019764548","https://openalex.org/W2021836035","https://openalex.org/W2035319517","https://openalex.org/W2091489896","https://openalex.org/W2108603643","https://openalex.org/W2118193919","https://openalex.org/W2123222407","https://openalex.org/W2145246767","https://openalex.org/W2149599446","https://openalex.org/W2156714229","https://openalex.org/W2169725917","https://openalex.org/W2485238055","https://openalex.org/W2801179766","https://openalex.org/W3020988704","https://openalex.org/W3186718057","https://openalex.org/W4235934856","https://openalex.org/W4300223101"],"related_works":["https://openalex.org/W2043420472","https://openalex.org/W2800664160","https://openalex.org/W2175778788","https://openalex.org/W2015878620","https://openalex.org/W3027134404","https://openalex.org/W2114061346","https://openalex.org/W2091345810","https://openalex.org/W2159126240","https://openalex.org/W2020266583","https://openalex.org/W1986237207"],"abstract_inverted_index":{"We":[0,72],"propose":[1],"a":[2,28],"novel":[3],"algorithm":[4,16,60,101],"for":[5,94],"the":[6,20,54,63,75,95],"compression":[7,96,104],"of":[8,22,30,65,97],"ECG":[9],"signals,":[10],"in":[11,53],"particular":[12],"QRS":[13,98],"complexes.":[14,99],"The":[15,58],"is":[17],"based":[18,68,111],"on":[19,62,69,112],"expansion":[21],"signals":[23],"with":[24,107],"compact":[25],"support":[26],"into":[27],"basis":[29,52],"discrete":[31,77,116],"Hermite":[32,42,78,87,114],"functions.":[33],"These":[34],"functions":[35,43,79],"can":[36],"be":[37],"constructed":[38,76],"by":[39],"sampling":[40,46],"continuous":[41,86,113],"at":[44],"specific":[45],"points.":[47],"They":[48],"form":[49],"an":[50],"orthogonal":[51,70],"underlying":[55],"signal":[56,66],"space.":[57],"proposed":[59],"relies":[61],"theory":[64],"models":[67],"polynomials.":[71],"demonstrate":[73],"that":[74],"have":[80,90],"important":[81],"ad-":[82],"vantages":[83],"compared":[84,106],"to":[85],"functions,":[88,115],"which":[89],"previously":[91,108],"been":[92],"suggested":[93],"Our":[100],"achieves":[102],"higher":[103],"ratios":[105],"reported":[109],"algorithms":[110],"Fourier,":[117],"cosine,":[118],"or":[119],"wavelet":[120],"transforms.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
