{"id":"https://openalex.org/W4384787622","doi":"https://doi.org/10.1109/access.2023.3296465","title":"Low-Frequency Ultrasound Thoracic Signal Processing Based on Music Algorithm and EMD Wavelet Thresholding","display_name":"Low-Frequency Ultrasound Thoracic Signal Processing Based on Music Algorithm and EMD Wavelet Thresholding","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384787622","doi":"https://doi.org/10.1109/access.2023.3296465"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3296465","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296465","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185918.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101731273","display_name":"Yinggang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinggang Zhou","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5641-0963","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090590446","display_name":"Jifeng Li","orcid":"https://orcid.org/0009-0005-4359-7614"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Li","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0005-4359-7614","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005263","display_name":"Hua Yan","orcid":"https://orcid.org/0000-0003-1524-1555"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yan","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1524-1555","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690674","display_name":"Xin Yan","orcid":"https://orcid.org/0000-0001-6685-1113"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yan","raw_affiliation_strings":["School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6685-1113","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China","institution_ids":["https://openalex.org/I157507598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157507598"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3608,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78860731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"73912","last_page":"73921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.719127893447876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373735666275024},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6234467029571533},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.6140796542167664},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5780029892921448},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5688925385475159},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5503095388412476},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5396379232406616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47214463353157043},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4618048071861267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4515088200569153},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43518033623695374},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4256698191165924},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.18963861465454102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1806488037109375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15128576755523682},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14376994967460632},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10319072008132935},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09482690691947937}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.719127893447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373735666275024},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6234467029571533},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.6140796542167664},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5780029892921448},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5688925385475159},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5503095388412476},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5396379232406616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47214463353157043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4618048071861267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4515088200569153},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43518033623695374},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4256698191165924},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.18963861465454102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1806488037109375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15128576755523682},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14376994967460632},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10319072008132935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09482690691947937},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3296465","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296465","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b75ae906ec19421ca1948666a0be8dac","is_oa":true,"landing_page_url":"https://doaj.org/article/b75ae906ec19421ca1948666a0be8dac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 73912-73921 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3296465","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296465","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384787622.pdf","grobid_xml":"https://content.openalex.org/works/W4384787622.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W169192408","https://openalex.org/W776049863","https://openalex.org/W1589606770","https://openalex.org/W2000982976","https://openalex.org/W2004748525","https://openalex.org/W2049092462","https://openalex.org/W2057879266","https://openalex.org/W2061567162","https://openalex.org/W2099611672","https://openalex.org/W2109896502","https://openalex.org/W2138732533","https://openalex.org/W2148234126","https://openalex.org/W2161048570","https://openalex.org/W2162199993","https://openalex.org/W2168958519","https://openalex.org/W2327001567","https://openalex.org/W2421581390","https://openalex.org/W2432080445","https://openalex.org/W2441524541","https://openalex.org/W2494307089","https://openalex.org/W2529996318","https://openalex.org/W2565654229","https://openalex.org/W2808220546","https://openalex.org/W2810610361","https://openalex.org/W2924620967","https://openalex.org/W2969940716","https://openalex.org/W2998457429","https://openalex.org/W3008279490","https://openalex.org/W3080466127","https://openalex.org/W3111958479","https://openalex.org/W3122722881","https://openalex.org/W3128421229","https://openalex.org/W3133603597","https://openalex.org/W3137386660","https://openalex.org/W3153318099","https://openalex.org/W3216905214","https://openalex.org/W4210722641","https://openalex.org/W4283793897","https://openalex.org/W4294975025","https://openalex.org/W4298009266","https://openalex.org/W4310584729","https://openalex.org/W4367553590","https://openalex.org/W6804521139"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W2133587243","https://openalex.org/W2183753013","https://openalex.org/W2915340808","https://openalex.org/W4385545089","https://openalex.org/W4401575680","https://openalex.org/W1429902097","https://openalex.org/W2405106204","https://openalex.org/W2133102185","https://openalex.org/W2045818635"],"abstract_inverted_index":{"Ultrasound":[0],"is":[1,11,28],"widely":[2],"used":[3,13],"in":[4,36,144,160,187],"biomedical":[5],"imaging.":[6],"High-frequency":[7],"ultrasound":[8,18,40,69,112,149,214],"at":[9,19],"MHz":[10],"usually":[12],"for":[14,26,123,208],"good":[15],"resolution.":[16],"However,":[17],"this":[20,43,54],"band":[21],"cannot":[22],"permeate":[23],"human":[24],"thorax,":[25],"it":[27],"strongly":[29],"scattered":[30],"and":[31,45,77,136,163,181],"reflected":[32],"by":[33,71],"air":[34],"inclusions":[35],"the":[37,51,64,73,79,91,100,110,117,129,145,161,169,192,198,210],"thorax.":[38,52],"Low-frequency":[39],"can":[41],"bypass":[42],"limitation":[44],"capture":[46],"useful":[47],"information":[48],"deep":[49],"within":[50],"Hence,":[53],"paper":[55],"presents":[56],"a":[57,87,182],"new":[58],"signal":[59,65,102,113],"processing":[60],"method":[61,203],"to":[62,115,157,178],"enhance":[63],"quality":[66,146,211],"of":[67,131,147,166,176,185,200,212],"low-frequency":[68,111,148,213],"imaging":[70],"improving":[72,209],"signal-to-noise":[74],"ratio":[75],"(SNR)":[76],"reducing":[78],"mean":[80],"square":[81],"error":[82],"(MSE).":[83],"Specifically,":[84],"we":[85],"propose":[86],"solution":[88,207],"that":[89],"integrates":[90],"empirical":[92],"mode":[93],"decomposition":[94],"(EMD)-based":[95],"wavelet":[96,119],"thresholding":[97],"algorithm":[98,108,122],"with":[99,151,191],"multiple":[101],"classification":[103],"(MUSIC)":[104],"algorithm.":[105],"The":[106],"MUSIC":[107],"pre-processes":[109],"prior":[114],"implementing":[116],"EMD-based":[118],"threshold":[120],"denoising":[121],"further":[124],"noise":[125],"reduction.":[126],"We":[127],"assess":[128],"effectiveness":[130],"our":[132,201],"approach":[133],"through":[134],"simulation":[135,193],"experimental":[137],"research.":[138],"Results":[139],"demonstrate":[140],"substantial":[141],"performance":[142],"improvements":[143],"signals":[150],"SNR":[152,173],"enhancement":[153],"ranging":[154],"from":[155],"2.2915":[156],"3.3358":[158],"dB":[159,180],"simulation,":[162],"MSE":[164],"decrease":[165,184],"0.3018.":[167],"Moreover,":[168],"experiment":[170],"yields":[171],"an":[172,205],"improvement":[174],"range":[175],"1.0274":[177],"2.9372":[179],"corresponding":[183],"0.2202":[186],"MSE.":[188],"In":[189],"agreement":[190],"outcomes,":[194],"these":[195],"results":[196],"confirm":[197],"efficacy":[199],"proposed":[202],"as":[204],"efficient":[206],"signals.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
