{"id":"https://openalex.org/W2921882089","doi":"https://doi.org/10.1109/ccwc.2019.8666608","title":"Classification Techniques for Diagnosing Respiratory Sounds in Infants and Children","display_name":"Classification Techniques for Diagnosing Respiratory Sounds in Infants and Children","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921882089","doi":"https://doi.org/10.1109/ccwc.2019.8666608","mag":"2921882089"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc.2019.8666608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2019.8666608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5111699478","display_name":"Alaa Gouda","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Alaa Gouda","raw_affiliation_strings":["Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060974134","display_name":"Saleh el Shehaby","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Saleh El Shehaby","raw_affiliation_strings":["Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036282310","display_name":"Nancy Diaa","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nancy Diaa","raw_affiliation_strings":["Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113525266","display_name":"Mohamed S. Abougabal","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abougabal","raw_affiliation_strings":["Department of Pediatrics, University of Alexandria, Alexandria, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, University of Alexandria, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111699478"],"corresponding_institution_ids":["https://openalex.org/I84524832"],"apc_list":null,"apc_paid":null,"fwci":0.3458,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.63615966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"0354","last_page":"0360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9366000294685364,"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"}},{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9284999966621399,"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/respiratory-sounds","display_name":"Respiratory sounds","score":0.7761672735214233},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7503809928894043},{"id":"https://openalex.org/keywords/wheeze","display_name":"Wheeze","score":0.6740414500236511},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6276374459266663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6042922139167786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5923893451690674},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5897382497787476},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5889248847961426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5675480961799622},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4743272662162781},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4297252297401428},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4079989492893219},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16159474849700928},{"id":"https://openalex.org/keywords/respiratory-system","display_name":"Respiratory system","score":0.0760946273803711}],"concepts":[{"id":"https://openalex.org/C2777402568","wikidata":"https://www.wikidata.org/wiki/Q779038","display_name":"Respiratory sounds","level":3,"score":0.7761672735214233},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7503809928894043},{"id":"https://openalex.org/C2778338976","wikidata":"https://www.wikidata.org/wiki/Q517104","display_name":"Wheeze","level":3,"score":0.6740414500236511},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6276374459266663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6042922139167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5923893451690674},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5897382497787476},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5889248847961426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675480961799622},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4743272662162781},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4297252297401428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4079989492893219},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16159474849700928},{"id":"https://openalex.org/C534529494","wikidata":"https://www.wikidata.org/wiki/Q7891","display_name":"Respiratory system","level":2,"score":0.0760946273803711},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc.2019.8666608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc.2019.8666608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W223359644","https://openalex.org/W1541358243","https://openalex.org/W1605417594","https://openalex.org/W1980128308","https://openalex.org/W1989590026","https://openalex.org/W1996159834","https://openalex.org/W2017714438","https://openalex.org/W2020997493","https://openalex.org/W2021429427","https://openalex.org/W2031631909","https://openalex.org/W2085843736","https://openalex.org/W2140190241","https://openalex.org/W2152536757","https://openalex.org/W2168979428","https://openalex.org/W2188121098","https://openalex.org/W2295562464","https://openalex.org/W2340727816","https://openalex.org/W2396026310","https://openalex.org/W2538171578","https://openalex.org/W2578483251","https://openalex.org/W2754136846","https://openalex.org/W2900988821","https://openalex.org/W2916890284","https://openalex.org/W4245160364","https://openalex.org/W4248420962","https://openalex.org/W6608780373","https://openalex.org/W6680704940","https://openalex.org/W6830179021"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2551986863","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W1556565948","https://openalex.org/W2074237540"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"studies":[2],"were":[3,82,209,220],"performed":[4],"using":[5,84,118],"several":[6],"techniques":[7,87,96,122],"to":[8,38,52,63,71,91,147,159,173,211],"classify":[9,61],"and":[10,34,56,69,107,136,171],"diagnose":[11,64,160],"lung":[12,43,54,65,161,166],"sound,":[13],"but":[14],"as":[15,26,28,190],"a":[16,191],"drawback":[17],"the":[18,29,74,93,114,149,155,199,213,216],"age":[19],"category":[20],"was":[21],"limited,":[22],"almost":[23],"adult":[24],"only,":[25],"well":[27],"insufficient":[30],"number":[31],"of":[32,42,73,143,198,202,215],"samples":[33],"this":[35,46,144,203],"unfortunately":[36],"leads":[37],"an":[39],"unfair":[40],"classification":[41,121],"sound.":[44],"While":[45],"study":[47],"deals":[48],"with":[49,154],"different":[50,86,120],"methods":[51],"analyze":[53],"sounds":[55,66,115,162,167,179],"extract":[57],"distinctive":[58],"features":[59],"then":[60],"them":[62],"in":[67,88,169],"infant":[68],"children":[70,172],"one":[72,197],"three":[75,85],"categories:":[76],"Normal,":[77,174],"Wheeze,":[78,175],"or":[79,176],"Stridor.":[80,177],"Features":[81],"extracted":[83],"separate":[89],"ways":[90],"compare":[92],"effectiveness;":[94],"these":[95],"are":[97,116,180],"Discrete":[98],"Wavelet":[99],"transform":[100],"(DWT),":[101],"Short":[102],"Time":[103],"Fourier":[104],"Transform":[105],"(STFT)":[106],"Mel-Frequency":[108],"Cepstral":[109],"Coefficients":[110],"(MFCCs).":[111],"After":[112],"that":[113],"categorized":[117],"four":[119],"which":[123,194],"include":[124],"Artificial":[125],"Neural":[126],"Network":[127],"(ANN),":[128],"Support":[129],"Vector":[130],"Machine":[131],"(SVM),":[132],"K-Nearest":[133],"Neighbor":[134],"(KNN)":[135],"Na\u00efve":[137],"Bayes":[138],"(NB).":[139],"The":[140,218],"main":[141,200],"aim":[142],"research":[145],"is":[146,195],"choose":[148],"best":[150],"signal":[151],"processing":[152],"technique":[153],"most":[156],"suitable":[157],"classifier":[158],"by":[163],"categorizing":[164],"300":[165],"especially":[168],"infants":[170],"These":[178],"collected":[181],"from":[182],"Alexandria":[183],"University":[184],"Children":[185],"Hospital":[186],"(AUCH)":[187],"-":[188],"Egypt":[189],"particular":[192],"environment":[193],"considered":[196],"advantages":[201],"research.":[204],"Moreover,":[205],"extra":[206],"146":[207],"wheezes":[208],"used":[210],"validate":[212],"usefulness":[214],"classifiers.":[217],"results":[219],"very":[221],"promising.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
