{"id":"https://openalex.org/W1988780580","doi":"https://doi.org/10.1109/mmsp.2011.6093793","title":"ECG data compression based on wave atom transform","display_name":"ECG data compression based on wave atom transform","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1988780580","doi":"https://doi.org/10.1109/mmsp.2011.6093793","mag":"1988780580"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2011.6093793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2011.6093793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","raw_type":"proceedings-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/A5035141289","display_name":"Hongteng Xu","orcid":"https://orcid.org/0000-0003-4192-5360"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongteng Xu","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai JiaoTong University, China","Institute of Image Communication and Information Processing, Shanghai JiaoTong University, Dongchuan Road 800, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai JiaoTong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai JiaoTong University, Dongchuan Road 800, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai JiaoTong University, China","Institute of Image Communication and Information Processing, Shanghai JiaoTong University, Dongchuan Road 800, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai JiaoTong University, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai JiaoTong University, Dongchuan Road 800, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035141289"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1922,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.59520766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9919999837875366,"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":0.9919999837875366,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9918000102043152,"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":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.644941508769989},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.6277317404747009},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6135676503181458},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6033725738525391},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5810235738754272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4954003095626831},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.4757349491119385},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46525081992149353},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43128734827041626},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.41324383020401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3659108281135559},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3487898111343384},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22375845909118652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21642574667930603},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.19117915630340576},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13557234406471252}],"concepts":[{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.644941508769989},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.6277317404747009},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6135676503181458},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6033725738525391},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5810235738754272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4954003095626831},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.4757349491119385},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46525081992149353},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43128734827041626},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.41324383020401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3659108281135559},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3487898111343384},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22375845909118652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21642574667930603},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.19117915630340576},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13557234406471252},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2011.6093793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2011.6093793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1793403863","https://openalex.org/W1990653637","https://openalex.org/W2020654727","https://openalex.org/W2071279901","https://openalex.org/W2131447689","https://openalex.org/W2138443314","https://openalex.org/W2143698637","https://openalex.org/W2162547327","https://openalex.org/W2166658318","https://openalex.org/W2551158039"],"related_works":["https://openalex.org/W2603296534","https://openalex.org/W2156106714","https://openalex.org/W2106538169","https://openalex.org/W2138430606","https://openalex.org/W2131702615","https://openalex.org/W1499106570","https://openalex.org/W2295051055","https://openalex.org/W2096000848","https://openalex.org/W83099425","https://openalex.org/W2144936090"],"abstract_inverted_index":{"In":[0,60],"this":[1],"paper,":[2],"a":[3,45,128],"new":[4],"ECG":[5,21,27],"signal":[6,28],"compression":[7,108,153],"algorithm":[8,85,96,150],"based":[9],"on":[10,100,143],"wave":[11,30,37,69,117],"atom":[12,38,118],"transform":[13,52],"is":[14,22,72,86,97,111,123],"presented.":[15],"According":[16],"to":[17,43,57,113],"an":[18],"assumption":[19],"that":[20,75,87,148],"oscillatory":[23,58],"signal,":[24],"we":[25],"decompose":[26],"by":[29,127],"atoms":[31],"and":[32,110,125,137],"trimmed":[33],"insignificant":[34],"coefficients.":[35],"The":[36,79,140],"decomposition":[39],"has":[40,151],"been":[41],"proved":[42,147],"have":[44],"significantly":[46],"sparser":[47],"solution":[48],"than":[49,74],"other":[50],"existing":[51],"methods":[53],"when":[54],"it":[55],"comes":[56],"signal.":[59],"our":[61,84,95,149],"experiment,":[62],"the":[63,66,92,105,120],"convergence":[64],"of":[65,68,76,83,94,107],"energy":[67],"atoms'":[70],"coefficients":[71],"faster":[73],"wavelet":[77],"indeed.":[78],"most":[80],"significant":[81],"advantage":[82],"unlike":[88],"many":[89],"conventional":[90],"methods,":[91],"performance":[93],"not":[98],"dependent":[99],"QRS":[101],"detection,":[102],"which":[103],"simplifies":[104],"architecture":[106],"system":[109],"beneficial":[112],"telemedicine":[114],"application.":[115],"After":[116],"transform,":[119],"data":[121],"stream":[122],"divided":[124],"coded":[126],"hybrid":[129],"entropy":[130],"coding":[131],"strategy":[132],"combining":[133],"delta":[134],"coding,":[135],"run-length-coding":[136],"arithmetic":[138],"coding.":[139],"experimental":[141],"results":[142],"MIT-BIH":[144],"arrhythmia":[145],"database":[146],"high":[152],"ratio":[154],"(CR":[155],">;":[156],"10)":[157],"with":[158],"percentage":[159],"root":[160],"mean":[161],"square":[162],"difference":[163],"(PRD)":[164],"under":[165],"1%.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}