{"id":"https://openalex.org/W2729054794","doi":"https://doi.org/10.1109/siu.2017.7960505","title":"Classification of ingestion sounds using Hilbert-huang transform","display_name":"Classification of ingestion sounds using Hilbert-huang transform","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2729054794","doi":"https://doi.org/10.1109/siu.2017.7960505","mag":"2729054794"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5101702316","display_name":"Mehmet Turan","orcid":"https://orcid.org/0000-0002-3822-235X"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"M. A. Tuggtekin Turan","raw_affiliation_strings":["Multimedya, G\u00f6r\u00fc ve Grafik Laboratuvar\u0131, Ko\u00e7 \u00dcniversitesi, \u0130stanbul"],"affiliations":[{"raw_affiliation_string":"Multimedya, G\u00f6r\u00fc ve Grafik Laboratuvar\u0131, Ko\u00e7 \u00dcniversitesi, \u0130stanbul","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064993025","display_name":"Engin Erzin","orcid":"https://orcid.org/0000-0002-2715-2368"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Engin Erzin","raw_affiliation_strings":["Multimedya, G\u00f6r\u00fc ve Grafik Laboratuvar\u0131, Ko\u00e7 \u00dcniversitesi, \u0130stanbul"],"affiliations":[{"raw_affiliation_string":"Multimedya, G\u00f6r\u00fc ve Grafik Laboratuvar\u0131, Ko\u00e7 \u00dcniversitesi, \u0130stanbul","institution_ids":["https://openalex.org/I1351752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101702316"],"corresponding_institution_ids":["https://openalex.org/I1351752"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13069775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9869999885559082,"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"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9865999817848206,"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/T11309","display_name":"Music and Audio Processing","score":0.9775000214576721,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6573377847671509},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6069758534431458},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5942822694778442},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5777517557144165},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.573743462562561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5605878829956055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5114113688468933},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44390928745269775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3756237030029297},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37425005435943604},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3596448004245758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2323722243309021}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6573377847671509},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6069758534431458},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5942822694778442},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5777517557144165},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.573743462562561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605878829956055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5114113688468933},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44390928745269775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3756237030029297},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37425005435943604},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3596448004245758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2323722243309021},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W110354907","https://openalex.org/W1505354730","https://openalex.org/W1527685850","https://openalex.org/W1605417594","https://openalex.org/W1989601644","https://openalex.org/W2007221293","https://openalex.org/W2008267272","https://openalex.org/W2048515713","https://openalex.org/W2055592628","https://openalex.org/W2086464186","https://openalex.org/W2098353983","https://openalex.org/W2101172883","https://openalex.org/W2110579950","https://openalex.org/W2112628161","https://openalex.org/W2128944537","https://openalex.org/W2129645710","https://openalex.org/W2144165269","https://openalex.org/W2163710303","https://openalex.org/W2245745904","https://openalex.org/W2400639714","https://openalex.org/W4298352105","https://openalex.org/W6604423467","https://openalex.org/W6712927998"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2089603224","https://openalex.org/W2072581623"],"abstract_inverted_index":{"Automatic":[0],"classification":[1,117],"of":[2,29,58,86,119],"food":[3,33],"ingestion":[4,27],"gives":[5],"a":[6,46,63,84,116],"precise":[7],"and":[8,92],"objective":[9],"solution":[10],"for":[11,97,123,134],"dietary":[12],"monitoring":[13],"which":[14],"is":[15,121,132],"an":[16],"active":[17],"research":[18],"area.":[19],"In":[20],"this":[21,87],"study,":[22],"we":[23,61,75],"aim":[24],"to":[25],"classify":[26],"sounds":[28],"the":[30,37,56,68,72,77,80,107,113,124,129],"six":[31],"different":[32,47],"types":[34],"recorded":[35],"from":[36],"throat":[38],"microphone.":[39],"We":[40],"observe":[41],"that":[42,65,127],"these":[43],"records":[44],"show":[45],"energy":[48,69],"distribution":[49],"than":[50],"normal":[51],"speech":[52],"signals.":[53],"To":[54],"reveal":[55],"characteristics":[57],"intake":[59],"signals,":[60],"prefer":[62],"model":[64],"could":[66],"reflect":[67],"distributions.":[70],"Using":[71],"Hilbert-Huang":[73],"transformation,":[74],"decompose":[76],"signal":[78],"on":[79],"local":[81],"time-scale.":[82],"As":[83],"result":[85],"hierarchical":[88],"decomposition,":[89],"zero-crossing":[90],"rates":[91],"short-term":[93],"energies":[94],"are":[95,103],"calculated":[96],"each":[98],"component.":[99],"These":[100],"feature":[101],"sets":[102],"then":[104],"classified":[105],"using":[106],"support":[108],"vector":[109],"machine":[110],"classifier.":[111],"After":[112],"experimental":[114],"studies,":[115],"accuracy":[118],"72%":[120],"obtained":[122],"six-class":[125],"classifier":[126],"indicates":[128],"proposed":[130],"methodology":[131],"promising":[133],"further":[135],"studies.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}