{"id":"https://openalex.org/W4402896818","doi":"https://doi.org/10.1109/sera61261.2024.10685578","title":"A Study on the Generation of Spectrogram for the Detection of Venous Needle Dislodgement by Image Recognition Using Machine Learning","display_name":"A Study on the Generation of Spectrogram for the Detection of Venous Needle Dislodgement by Image Recognition Using Machine Learning","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4402896818","doi":"https://doi.org/10.1109/sera61261.2024.10685578"},"language":"en","primary_location":{"id":"doi:10.1109/sera61261.2024.10685578","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sera61261.2024.10685578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)","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/A5043387902","display_name":"Naofumi Nakaya","orcid":"https://orcid.org/0009-0006-4926-3567"},"institutions":[{"id":"https://openalex.org/I34077901","display_name":"Juntendo University","ror":"https://ror.org/01692sz90","country_code":"JP","type":"education","lineage":["https://openalex.org/I34077901"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naofumi Nakaya","raw_affiliation_strings":["Juntendo University,Fac. of Medical Science,Japan,Chiba"],"affiliations":[{"raw_affiliation_string":"Juntendo University,Fac. of Medical Science,Japan,Chiba","institution_ids":["https://openalex.org/I34077901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110191192","display_name":"M. Koizumi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115548","display_name":"Japan Electronics College","ror":"https://ror.org/024hvm870","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210115548"]},{"id":"https://openalex.org/I114132059","display_name":"Tokyo Electron (Japan)","ror":"https://ror.org/05gd76j39","country_code":"JP","type":"company","lineage":["https://openalex.org/I114132059"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mutsuki Koizumi","raw_affiliation_strings":["Tokyo Electronics College,Dept. of Electronic Technology,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Electronics College,Dept. of Electronic Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I4210115548","https://openalex.org/I114132059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101796710","display_name":"Satoshi Watanabe","orcid":"https://orcid.org/0000-0001-9821-7598"},"institutions":[{"id":"https://openalex.org/I104946051","display_name":"Nihon University","ror":"https://ror.org/05jk51a88","country_code":"JP","type":"education","lineage":["https://openalex.org/I104946051"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Watanabe","raw_affiliation_strings":["Coll. of Bioresource Sciences, Nihon University,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Coll. of Bioresource Sciences, Nihon University,Kanagawa,Japan","institution_ids":["https://openalex.org/I104946051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029399268","display_name":"Naruki Shirahama","orcid":"https://orcid.org/0000-0002-6512-6769"},"institutions":[{"id":"https://openalex.org/I199278144","display_name":"Shimonoseki City University","ror":"https://ror.org/01fyk0v41","country_code":"JP","type":"education","lineage":["https://openalex.org/I199278144"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naruki Shirahama","raw_affiliation_strings":["Shimonoseki City University,Fac. of Data Science,Yamaguchi,Japan"],"affiliations":[{"raw_affiliation_string":"Shimonoseki City University,Fac. of Data Science,Yamaguchi,Japan","institution_ids":["https://openalex.org/I199278144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080388789","display_name":"Takayuki Abe","orcid":"https://orcid.org/0000-0002-2295-7458"},"institutions":[{"id":"https://openalex.org/I4210098959","display_name":"Tokyo Women's Medical University Hospital","ror":"https://ror.org/014knbk35","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210098959"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Abe","raw_affiliation_strings":["Tokyo Women&#x0027;s Medical University Hospital,Dept. of Clinical Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Women&#x0027;s Medical University Hospital,Dept. of Clinical Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I4210098959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102326834","display_name":"Akihiro Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I28130999","display_name":"Nihon Institute of Medical Science","ror":"https://ror.org/027x43420","country_code":"JP","type":"education","lineage":["https://openalex.org/I28130999"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihiro Watanabe","raw_affiliation_strings":["Nihon Institute of Medical Science,Fac. of Health Sciences,Saitama,Japan"],"affiliations":[{"raw_affiliation_string":"Nihon Institute of Medical Science,Fac. of Health Sciences,Saitama,Japan","institution_ids":["https://openalex.org/I28130999"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043387902"],"corresponding_institution_ids":["https://openalex.org/I34077901"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24970826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"373","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13751","display_name":"Diverse Approaches in Healthcare and Education Studies","score":0.8047000169754028,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T13751","display_name":"Diverse Approaches in Healthcare and Education Studies","score":0.8047000169754028,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/spectrogram","display_name":"Spectrogram","score":0.9042450189590454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811161994934082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5611093640327454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4478965401649475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4321177005767822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3898189663887024}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9042450189590454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811161994934082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5611093640327454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4478965401649475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4321177005767822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3898189663887024}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera61261.2024.10685578","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sera61261.2024.10685578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)","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":6,"referenced_works":["https://openalex.org/W2153692502","https://openalex.org/W2789418419","https://openalex.org/W2905944843","https://openalex.org/W2907078176","https://openalex.org/W2988095847","https://openalex.org/W4399372279"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"safety":[1,155],"and":[2,64,79,108,145,187],"quality":[3],"of":[4,20,31,49,116,148,161,185,200],"life":[5],"for":[6,135,143,191],"the":[7,18,46,55,62,91,114,133,158,174,183,198],"approximately":[8],"350,000":[9],"dialysis":[10],"patients":[11],"in":[12,93,102,106,203],"Japan":[13],"are":[14],"critically":[15],"affected":[16],"by":[17,156],"risk":[19],"unintentional":[21],"needle":[22,42,51,98,126,169],"dislodgement":[23,127,162],"during":[24],"hemodialysis,":[25],"which":[26],"represents":[27],"a":[28,65,70],"significant":[29],"cause":[30],"medical":[32],"accidents.":[33],"This":[34,150],"study":[35],"introduces":[36],"an":[37],"innovative":[38],"approach":[39],"to":[40,85,120,140,196],"detect":[41],"dislodgement,":[43,99],"focusing":[44],"on":[45,77,181],"nonhemolytic":[47],"detection":[48,66,147,160],"indwelling":[50],"dislodgement.":[52],"By":[53],"analyzing":[54],"impedance":[56],"change":[57],"through":[58],"capacitive":[59],"coupling":[60],"between":[61],"patient":[63,154],"circuit,":[67],"we":[68],"developed":[69],"prototype":[71],"system":[72],"that":[73],"generates":[74],"spectrograms":[75,89,142,190],"based":[76],"frequency":[78],"phase":[80,109],"characteristics":[81,95],"from":[82,124],"1":[83,86],"kHz":[84],"MHz.":[87],"These":[88],"capture":[90],"changes":[92,105],"electrical":[94],"associated":[96],"with":[97,100],"alterations":[101],"color":[103],"indicating":[104],"gain":[107],"difference.":[110],"Initial":[111],"experiments":[112],"demonstrated":[113],"feasibility":[115],"using":[117],"spectrogram":[118],"analysis":[119],"visually":[121],"distinguish":[122],"normal":[123,186],"venous":[125],"(VND)":[128],"conditions.":[129],"Our":[130],"results":[131],"emphasize":[132],"potential":[134],"applying":[136],"machine":[137,192],"learning":[138,193],"algorithms":[139],"these":[141],"accurate":[144],"automated":[146],"VND.":[149],"could":[151],"significantly":[152],"improve":[153],"enabling":[157],"early":[159],"events":[163],"under":[164],"various":[165],"conditions,":[166],"including":[167],"partial":[168],"contact":[170],"or":[171],"leakage":[172],"at":[173],"puncture":[175],"site.":[176],"Future":[177],"research":[178],"will":[179],"focus":[180],"expanding":[182],"dataset":[184],"VND":[188],"state":[189],"training,":[194],"aiming":[195],"validate":[197],"effectiveness":[199],"this":[201],"technology":[202],"clinical":[204],"settings.":[205]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
