{"id":"https://openalex.org/W2020526998","doi":"https://doi.org/10.1177/1094342006074860","title":"Lossless and Near-Lossless Compression of Ecg Signals with Block-Sorting Techniques","display_name":"Lossless and Near-Lossless Compression of Ecg Signals with Block-Sorting Techniques","publication_year":2007,"publication_date":"2007-01-24","ids":{"openalex":"https://openalex.org/W2020526998","doi":"https://doi.org/10.1177/1094342006074860","mag":"2020526998"},"language":"en","primary_location":{"id":"doi:10.1177/1094342006074860","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342006074860","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","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/A5046998316","display_name":"Ziya Arnavut","orcid":"https://orcid.org/0000-0001-6307-833X"},"institutions":[{"id":"https://openalex.org/I61032284","display_name":"SUNY Fredonia","ror":"https://ror.org/05vrs0r17","country_code":"US","type":"education","lineage":["https://openalex.org/I61032284"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziya Arnavut","raw_affiliation_strings":["Department of Computer Science, Suny Fredonia, Fredonia, NY 14063,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Suny Fredonia, Fredonia, NY 14063,","institution_ids":["https://openalex.org/I61032284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046998316"],"corresponding_institution_ids":["https://openalex.org/I61032284"],"apc_list":null,"apc_paid":null,"fwci":0.4692,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74272209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":"1","first_page":"50","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.992900013923645,"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/lossless-compression","display_name":"Lossless compression","score":0.9496535062789917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8229358792304993},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6818138360977173},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6677542924880981},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6394491195678711},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6000849008560181},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5211020708084106},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5025966167449951},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5010437965393066},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.43966394662857056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35295283794403076},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.30124300718307495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1781851053237915},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11310240626335144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08645612001419067}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9496535062789917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229358792304993},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6818138360977173},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6677542924880981},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6394491195678711},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6000849008560181},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5211020708084106},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5025966167449951},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5010437965393066},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.43966394662857056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35295283794403076},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.30124300718307495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1781851053237915},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11310240626335144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08645612001419067},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1094342006074860","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342006074860","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1482688465","https://openalex.org/W1496073286","https://openalex.org/W1499885795","https://openalex.org/W1500626465","https://openalex.org/W1877393085","https://openalex.org/W1975965284","https://openalex.org/W1986762276","https://openalex.org/W1995875735","https://openalex.org/W1998518625","https://openalex.org/W2003502073","https://openalex.org/W2014053060","https://openalex.org/W2029637633","https://openalex.org/W2041404167","https://openalex.org/W2069711766","https://openalex.org/W2081815312","https://openalex.org/W2099778990","https://openalex.org/W2107745473","https://openalex.org/W2110657911","https://openalex.org/W2122962290","https://openalex.org/W2134071351","https://openalex.org/W2152692794","https://openalex.org/W2156630914","https://openalex.org/W2161488606","https://openalex.org/W2166658318","https://openalex.org/W2611071497","https://openalex.org/W4233701499","https://openalex.org/W4240241513","https://openalex.org/W4246877638","https://openalex.org/W4249114069","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W2096442341","https://openalex.org/W3202870363","https://openalex.org/W2115343698","https://openalex.org/W2127387824","https://openalex.org/W3156372688","https://openalex.org/W2380116549","https://openalex.org/W2183844610"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,42],"investigate":[4],"the":[5,63],"lossless":[6],"and":[7,36,62],"near-lossless":[8],"compression":[9,33,45],"of":[10,47],"electrocardiogram":[11],"(ECG)":[12],"signals":[13],"with":[14,22],"different":[15],"block-sorting":[16],"transformations.":[17],"We":[18],"show":[19,43],"that":[20,44],"transformations":[21],"smaller":[23],"context":[24],"depths":[25],"are":[26,39],"a":[27],"better":[28,52],"choice":[29],"for":[30],"ECG":[31],"signal":[32],"when":[34],"speed":[35],"memory":[37],"utilization":[38],"considered.":[40],"Further,":[41],"results":[46],"our":[48],"proposed":[49],"technique":[50],"is":[51],"than":[53],"other":[54],"well":[55],"known":[56],"techniques,":[57],"such":[58],"as":[59],"bzip2,":[60],"gzip,":[61],"shorten":[64],"waveform":[65],"coder.":[66]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}