{"id":"https://openalex.org/W2990878527","doi":"https://doi.org/10.1109/ichi.2019.8904563","title":"Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones","display_name":"Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2990878527","doi":"https://doi.org/10.1109/ichi.2019.8904563","mag":"2990878527"},"language":"en","primary_location":{"id":"doi:10.1109/ichi.2019.8904563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","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/A5081260940","display_name":"Sudip Vhaduri","orcid":"https://orcid.org/0000-0001-6896-9772"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudip Vhaduri","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN,USA,46556","University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN,USA,46556","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049117088","display_name":"Theodore van Kessel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodore Van Kessel","raw_affiliation_strings":["IBM Watson Research,Yorktown Heights,NY,USA,10598","IBM Watson Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research,Yorktown Heights,NY,USA,10598","institution_ids":["https://openalex.org/I4210114115","https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Watson Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113708400","display_name":"Bongjun Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bongjun Ko","raw_affiliation_strings":["IBM Watson Research,Yorktown Heights,NY,USA,10598","IBM Watson Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research,Yorktown Heights,NY,USA,10598","institution_ids":["https://openalex.org/I4210114115","https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Watson Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023089434","display_name":"David Wood","orcid":"https://orcid.org/0000-0003-3058-4871"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Wood","raw_affiliation_strings":["IBM Watson Research,Yorktown Heights,NY,USA,10598","IBM Watson Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research,Yorktown Heights,NY,USA,10598","institution_ids":["https://openalex.org/I4210114115","https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Watson Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443957","display_name":"Shiqiang Wang","orcid":"https://orcid.org/0000-0001-8702-2605"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiqiang Wang","raw_affiliation_strings":["IBM Watson Research,Yorktown Heights,NY,USA,10598","IBM Watson Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research,Yorktown Heights,NY,USA,10598","institution_ids":["https://openalex.org/I4210114115","https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Watson Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034679430","display_name":"Thomas Brunschwiler","orcid":"https://orcid.org/0000-0002-7254-3405"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Thomas Brunschwiler","raw_affiliation_strings":["IBM Research-Zurich,Rueschlikon,Switzerland,8803","IBM Research-Zurich, Rueschlikon, Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research-Zurich,Rueschlikon,Switzerland,8803","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Research-Zurich, Rueschlikon, Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081260940"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":7.2618,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97867526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","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/T12418","display_name":"Respiratory and Cough-Related Research","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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9923999905586243,"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/T13289","display_name":"Infant Health and Development","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568528413772583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425903797149658},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.540935218334198},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5270759463310242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5160724520683289},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4712529480457306},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.470836877822876},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.42364802956581116},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4213053584098816},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41921067237854004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568528413772583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425903797149658},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.540935218334198},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5270759463310242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5160724520683289},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4712529480457306},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.470836877822876},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.42364802956581116},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4213053584098816},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41921067237854004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichi.2019.8904563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","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":25,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W182831726","https://openalex.org/W2005666490","https://openalex.org/W2017337590","https://openalex.org/W2069226742","https://openalex.org/W2072677111","https://openalex.org/W2082487636","https://openalex.org/W2086297934","https://openalex.org/W2096980176","https://openalex.org/W2122111042","https://openalex.org/W2128836390","https://openalex.org/W2148154194","https://openalex.org/W2161716213","https://openalex.org/W2342324495","https://openalex.org/W2514679778","https://openalex.org/W2586599122","https://openalex.org/W2602496215","https://openalex.org/W2769435864","https://openalex.org/W2791889480","https://openalex.org/W2792769556","https://openalex.org/W2794899687","https://openalex.org/W2795679718","https://openalex.org/W4285719527","https://openalex.org/W6600593648","https://openalex.org/W6726121154"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W1487808658","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W4224262160","https://openalex.org/W3120363735","https://openalex.org/W4214820172","https://openalex.org/W2394323384"],"abstract_inverted_index":{"The":[0,120,196],"reporting":[1],"on":[2,237],"nocturnal":[3],"sounds":[4,51,75],"like":[5],"cough":[6,44,72,88,106,112,166],"and":[7,46,62,73,187,219],"snore":[8,50,74,90,168],"is":[9],"not":[10],"only":[11],"relevant":[12],"to":[13,24,41,86,104,109,114,138,140,234],"follow":[14],"the":[15,26,47,93,110,116,127,142,146,159,203,213,230],"progress":[16],"of":[17,20,28,30,49,54,59,71,129,136,145,151,161,232],"respiratory":[18],"diseases":[19],"patients":[21],"but":[22],"also":[23],"assess":[25],"quality":[27],"sleep":[29],"subjects.":[31,80],"In":[32],"this":[33],"study,":[34],"we":[35],"discuss":[36],"an":[37,164],"audio":[38,68,122,241],"analysis":[39],"approach":[40],"count":[42],"individual":[43],"events":[45,91],"duration":[48],"in":[52,92,156,202,212],"presence":[53],"air-conditioner":[55,130],"noise":[56,96,224],"through":[57,240],"recordings":[58,242],"a":[60,133],"smartphone":[61],"computationally":[63],"efficient":[64],"classifiers.":[65],"A":[66,98],"new":[67],"data":[69],"set":[70,144],"was":[76,84,102,124],"acquired":[77],"from":[78,163],"26":[79],"Energy":[81],"threshold-based":[82],"segmentation":[83],"applied":[85],"identify":[87],"or":[89,167],"original":[94,121],"low":[95],"dataset.":[97],"k-nearest":[99,176],"neighbor":[100,177],"classifier":[101,198],"trained":[103],"merge":[105],"phases":[107],"belonging":[108],"same":[111],"event,":[113],"derive":[115],"proper":[117],"ground-truth":[118],"labeling.":[119],"signal":[123],"augmented":[125,225],"by":[126],"superposition":[128],"noise,":[131],"with":[132,158,199],"signal-to-noise":[134],"ratio":[135],"-40dB":[137],"40dB,":[139],"enrich":[141],"training":[143],"binary":[147,214],"classifier.":[148],"Nine":[149],"out":[150],"40":[152],"mel-frequency":[153],"cepstral":[154],"coefficients":[155],"combination":[157],"logarithm":[160],"energy":[162],"entire":[165],"event":[169],"were":[170,191],"computed.":[171],"Various":[172],"classifiers,":[173],"such":[174],"as":[175],"(k-NN),":[178],"rule-based":[179],"classifier,":[180],"decision":[181],"tree,":[182],"random":[183],"forest,":[184],"naive":[185],"Bayes,":[186],"support":[188],"vector":[189],"machine":[190],"benchmarked":[192],"against":[193],"each":[194],"other.":[195],"k-NN":[197],"k=1":[200],"resulted":[201],"highest":[204],"F":[205],"<sub":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[208],"scores":[209],"of.85":[210],"and.88":[211],"classification":[215],"task":[216],"using":[217],"generalized":[218],"personalized":[220],"models,":[221],"respectively,":[222],"considering":[223],"samples.":[226],"These":[227],"results":[228],"underline":[229],"potential":[231],"smartphones":[233],"objectively":[235],"report":[236],"patient":[238],"symptoms":[239],"at":[243],"night.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
