{"id":"https://openalex.org/W2756214935","doi":"https://doi.org/10.1109/embc.2017.8037471","title":"Analysis of dynamic antral scintigraphy using empirical mode decomposition","display_name":"Analysis of dynamic antral scintigraphy using empirical mode decomposition","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2756214935","doi":"https://doi.org/10.1109/embc.2017.8037471","mag":"2756214935","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060512"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5063021579","display_name":"Panasun Ngamsirijit","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Panasun Ngamsirijit","raw_affiliation_strings":["Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001278912","display_name":"Pisit Jarumaneeroj","orcid":"https://orcid.org/0000-0002-5191-5898"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pisit Jarumaneeroj","raw_affiliation_strings":["Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064375517","display_name":"Tawatchai Chaiwatanarat","orcid":"https://orcid.org/0000-0002-0562-1223"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Tawatchai Chaiwatanarat","raw_affiliation_strings":["The Division of Nuclear Medicine, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Division of Nuclear Medicine, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062010943","display_name":"Yothin Rakvongthai","orcid":"https://orcid.org/0000-0001-8493-6284"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Yothin Rakvongthai","raw_affiliation_strings":["The Division of Nuclear Medicine, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Division of Nuclear Medicine, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"92","issue":null,"first_page":"2932","last_page":"2935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9995999932289124,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9995999932289124,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.7009619474411011},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.6075271964073181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5290666222572327},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5064491033554077},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.4578089416027069},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.4380716383457184},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.42436376214027405},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25109314918518066},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1632133424282074}],"concepts":[{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.7009619474411011},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.6075271964073181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5290666222572327},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5064491033554077},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.4578089416027069},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.4380716383457184},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.42436376214027405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25109314918518066},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1632133424282074},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"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":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8037471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060512","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060512","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1570156790","https://openalex.org/W1986043247","https://openalex.org/W1987020677","https://openalex.org/W2013367933","https://openalex.org/W2031862633","https://openalex.org/W2072348343","https://openalex.org/W2074415591","https://openalex.org/W2088202114","https://openalex.org/W2105297301","https://openalex.org/W2115514176","https://openalex.org/W2143908679","https://openalex.org/W2162734842","https://openalex.org/W2261432189","https://openalex.org/W2473053126","https://openalex.org/W6633985906"],"related_works":["https://openalex.org/W2139622158","https://openalex.org/W2281304072","https://openalex.org/W2135862578","https://openalex.org/W4224306892","https://openalex.org/W1574935133","https://openalex.org/W2094684004","https://openalex.org/W31830636","https://openalex.org/W2370547058","https://openalex.org/W6842695","https://openalex.org/W4298260447"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"proposed":[4,26],"to":[5,12,65,129,156,177,219],"use":[6],"the":[7,43,46,71,90,94,113,123,135,139,144,168,187,202,220,224,227],"empirical":[8],"mode":[9,52],"decomposition":[10],"(EMD)":[11],"analyze":[13],"signals":[14],"from":[15,45,70,78,122,127,134,143],"dynamic":[16],"antral":[17,21,160],"scintigraphy":[18],"(DAS)":[19],"for":[20,60],"contraction":[22,161,221],"rate":[23,162],"estimation.":[24],"The":[25,97,109,131],"EMD-Fourier":[27,91,114,140,169],"method":[28,92,115,125,141,146,170],"analyzes":[29],"a":[30,38,117,157,191,206],"DAS":[31,39,79],"time-activity":[32],"curve":[33],"(TAC)":[34],"which":[35,216],"is":[36],"called":[37],"signal":[40],"by":[41],"estimating":[42],"frequency":[44,58,67,103,192,207],"Fourier":[47,73,95,124,145],"transform":[48],"of":[49,102,119,194,209,223],"each":[50,61],"intrinsic":[51],"function":[53],"(IMF),":[54],"thus":[55],"yielding":[56],"multiple":[57],"values":[59],"TAC":[62],"as":[63],"opposed":[64],"one":[66],"value":[68],"obtained":[69],"conventional":[72],"method.":[74,96],"Twenty-three":[75],"TACs":[76],"extracted":[77],"data":[80],"acquired":[81],"on":[82],"twenty-three":[83],"healthy":[84],"volunteers":[85,106],"were":[86,107,147,154],"analyzed":[87],"using":[88],"both":[89],"and":[93,99,142,149,226],"mean":[98,132],"standard":[100],"deviation":[101],"across":[104],"all":[105],"computed.":[108],"result":[110],"showed":[111],"that":[112,186],"provided":[116],"reduction":[118,174],"SD-to-mean":[120],"ratio":[121],"ranging":[126],"64.3%":[128],"85.8%.":[130],"frequencies":[133],"third":[136],"IMF":[137,189,204],"in":[138],"2.76":[148],"3.44":[150],"cycles":[151,164,198,213],"per":[152,165,199,214],"minute":[153],"close":[155],"widely-used":[158],"normal":[159],"(3.0":[163],"minute),":[166],"while":[167,201],"yielded":[171,190,205],"significant":[172],"SD":[173],"(from":[175],"4.77":[176],"0.57:":[178],"p":[179],"<;":[180],"0.0001).":[181],"Moreover,":[182],"it":[183],"was":[184],"found":[185],"first":[188],"estimate":[193,208],"11.26":[195],"\u00b1":[196,211],"2.2":[197],"minute,":[200,215],"second":[203],"4.3":[210],"1.3":[212],"are":[217],"similar":[218],"rates":[222],"duodenum":[225],"large":[228],"intestine,":[229],"respectively.":[230]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
