{"id":"https://openalex.org/W2139060900","doi":"https://doi.org/10.1109/icassp.2012.6287954","title":"Log-frequency spectrogram for respiratory sound monitoring","display_name":"Log-frequency spectrogram for respiratory sound monitoring","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2139060900","doi":"https://doi.org/10.1109/icassp.2012.6287954","mag":"2139060900"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6287954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6287954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101691892","display_name":"Jin Feng","orcid":"https://orcid.org/0000-0002-7705-3210"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Feng Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018853653","display_name":"Farook Sattar","orcid":"https://orcid.org/0000-0001-6272-3982"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farook Sattar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","Department of Electrical and computer Engineering, University of Waterloo, ON, N2L 3G1, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Electrical and computer Engineering, University of Waterloo, ON, N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086845888","display_name":"Sridhar Krishnan","orcid":"https://orcid.org/0000-0002-4659-564X"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sridhar Krishnan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"597","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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":1.0,"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":0.9961000084877014,"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/T10860","display_name":"Speech and Audio Processing","score":0.9936000108718872,"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/spectrogram","display_name":"Spectrogram","score":0.9176573753356934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744677424430847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6256811618804932},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6014214158058167},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5695872902870178},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5582042336463928},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5455195903778076},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5292243957519531},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5280656814575195},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5275577902793884},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5106642842292786},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5034789443016052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49910783767700195},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4879743456840515},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4529988169670105},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.448978066444397},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.4246987998485565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19040745496749878},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1241893470287323},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.1089349091053009}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9176573753356934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744677424430847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6256811618804932},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6014214158058167},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5695872902870178},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5582042336463928},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5455195903778076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5292243957519531},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280656814575195},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5275577902793884},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5106642842292786},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5034789443016052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49910783767700195},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4879743456840515},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4529988169670105},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.448978066444397},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.4246987998485565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19040745496749878},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1241893470287323},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.1089349091053009},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6287954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6287954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":11,"referenced_works":["https://openalex.org/W83434317","https://openalex.org/W1520335995","https://openalex.org/W1971492202","https://openalex.org/W2028709512","https://openalex.org/W2034432063","https://openalex.org/W2047469300","https://openalex.org/W2104528845","https://openalex.org/W2112328181","https://openalex.org/W2129140579","https://openalex.org/W2129941787","https://openalex.org/W2156909104"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2373675101","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W1556565948","https://openalex.org/W2167481420","https://openalex.org/W4360764600"],"abstract_inverted_index":{"Computerized":[0],"patient":[1],"monitoring":[2],"provides":[3],"valuable":[4],"information":[5],"on":[6,43],"clinical":[7],"disorders":[8],"in":[9,51],"medical":[10],"practice,":[11],"and":[12],"it":[13],"triggers":[14],"the":[15,19,48,52,71,83,94,117],"need":[16],"to":[17,24,122],"simplify":[18],"extent":[20],"of":[21,28,56,82,96,126,129],"resources":[22],"required":[23],"describe":[25],"large":[26],"set":[27,63],"complex":[29],"biomedical":[30],"signals.":[31,58,133],"In":[32],"this":[33],"paper,":[34],"we":[35],"present":[36],"a":[37],"new":[38],"signal":[39,65],"quantification":[40,66],"method":[41,84],"based":[42],"block-wise":[44],"similarity":[45,73],"measurement":[46],"between":[47],"neighboring":[49],"regions":[50],"optimized":[53],"log-frequency":[54],"spectrogram":[55],"audio":[57],"Low":[59],"dimensional":[60],"cepstral":[61],"feature":[62],"for":[64,93,131],"is":[67,85,120],"then":[68],"formed":[69],"from":[70,112],"reconstructed":[72],"matrix":[74],"using":[75],"2D":[76],"principal":[77],"component":[78],"analysis.":[79],"The":[80],"effectiveness":[81],"verified":[86],"with":[87],"real":[88],"respiratory":[89],"sound":[90],"(RS)":[91],"signals":[92],"purpose":[95],"abnormal":[97],"RS":[98,101,106],"detection":[99,107,125],"towards":[100],"monitoring.":[102],"Unlike":[103],"conventional":[104],"pathological":[105],"methods":[108],"which":[109],"extract":[110],"features":[111],"well-segmented":[113],"inspiratory/expiratory":[114],"phase":[115],"segments,":[116],"proposed":[118],"scheme":[119],"able":[121],"perform":[123],"fast":[124],"various":[127],"types":[128],"abnormality":[130],"unsegmented":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}