{"id":"https://openalex.org/W3015784263","doi":"https://doi.org/10.1109/icassp40776.2020.9053130","title":"Transforming Seismocardiograms Into Electrocardiograms by Applying Convolutional Autoencoders","display_name":"Transforming Seismocardiograms Into Electrocardiograms by Applying Convolutional Autoencoders","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015784263","doi":"https://doi.org/10.1109/icassp40776.2020.9053130","mag":"3015784263"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5072799933","display_name":"Marian Haescher","orcid":"https://orcid.org/0000-0002-1242-0278"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marian Haescher","raw_affiliation_strings":["University of Rostock,Rostock,Germany","University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock,Rostock,Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000975393","display_name":"Florian H\u00f6pfner","orcid":"https://orcid.org/0000-0003-2487-7758"},"institutions":[{"id":"https://openalex.org/I4210122911","display_name":"Fraunhofer Institute for Large Structures in Production Engineering IGP","ror":"https://ror.org/03tevfg71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210122911","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Hopfner","raw_affiliation_strings":["Fraunhofer IGD,Rostock,Germany","Fraunhofer IGD, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IGD,Rostock,Germany","institution_ids":["https://openalex.org/I4210122911"]},{"raw_affiliation_string":"Fraunhofer IGD, Rostock, Germany","institution_ids":["https://openalex.org/I4210122911","https://openalex.org/I3019423309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056615027","display_name":"Wencke Chodan","orcid":"https://orcid.org/0000-0002-9613-4059"},"institutions":[{"id":"https://openalex.org/I4210122911","display_name":"Fraunhofer Institute for Large Structures in Production Engineering IGP","ror":"https://ror.org/03tevfg71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210122911","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wencke Chodan","raw_affiliation_strings":["Fraunhofer IGD,Rostock,Germany","Fraunhofer IGD, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IGD,Rostock,Germany","institution_ids":["https://openalex.org/I4210122911"]},{"raw_affiliation_string":"Fraunhofer IGD, Rostock, Germany","institution_ids":["https://openalex.org/I4210122911","https://openalex.org/I3019423309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002973579","display_name":"Dimitri Kraft","orcid":"https://orcid.org/0000-0002-0604-5854"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dimitri Kraft","raw_affiliation_strings":["University of Rostock,Rostock,Germany","University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock,Rostock,Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070412591","display_name":"Mario Aehnelt","orcid":"https://orcid.org/0009-0002-3268-864X"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4210122911","display_name":"Fraunhofer Institute for Large Structures in Production Engineering IGP","ror":"https://ror.org/03tevfg71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210122911","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mario Aehnelt","raw_affiliation_strings":["Fraunhofer IGD,Rostock,Germany","Fraunhofer IGD, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IGD,Rostock,Germany","institution_ids":["https://openalex.org/I4210122911"]},{"raw_affiliation_string":"Fraunhofer IGD, Rostock, Germany","institution_ids":["https://openalex.org/I4210122911","https://openalex.org/I3019423309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083789761","display_name":"Bodo Urban","orcid":"https://orcid.org/0000-0003-4968-4506"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Urban","raw_affiliation_strings":["University of Rostock,Rostock,Germany","University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock,Rostock,Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072799933"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":null,"apc_paid":null,"fwci":0.6008,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.62814918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4122","last_page":"4126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/autoencoder","display_name":"Autoencoder","score":0.716999888420105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499868631362915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617378830909729},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5561246275901794},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5529313087463379},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5396542549133301},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.524807333946228},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48580098152160645},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.48187050223350525},{"id":"https://openalex.org/keywords/likert-scale","display_name":"Likert scale","score":0.477934867143631},{"id":"https://openalex.org/keywords/telemedicine","display_name":"Telemedicine","score":0.4605606496334076},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44421157240867615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43037810921669006},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.41223713755607605},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24981829524040222},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.2209589183330536},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19279301166534424},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14989399909973145},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1427384316921234},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13124790787696838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12882262468338013},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.1025594174861908},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0919995903968811}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.716999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499868631362915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617378830909729},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5561246275901794},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5529313087463379},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5396542549133301},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.524807333946228},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48580098152160645},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.48187050223350525},{"id":"https://openalex.org/C105776082","wikidata":"https://www.wikidata.org/wiki/Q617473","display_name":"Likert scale","level":2,"score":0.477934867143631},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.4605606496334076},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44421157240867615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43037810921669006},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.41223713755607605},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24981829524040222},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.2209589183330536},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19279301166534424},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14989399909973145},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1427384316921234},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13124790787696838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12882262468338013},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.1025594174861908},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0919995903968811},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-586482","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-586482.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/407649","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/407649","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W4448866","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1891867348","https://openalex.org/W1971703285","https://openalex.org/W1985736649","https://openalex.org/W1992643516","https://openalex.org/W1994710476","https://openalex.org/W2007729863","https://openalex.org/W2015671756","https://openalex.org/W2025350772","https://openalex.org/W2042068123","https://openalex.org/W2056663426","https://openalex.org/W2057402946","https://openalex.org/W2087385144","https://openalex.org/W2104761030","https://openalex.org/W2108790161","https://openalex.org/W2122088182","https://openalex.org/W2146972913","https://openalex.org/W2148325642","https://openalex.org/W2149354546","https://openalex.org/W2154731305","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2291295199","https://openalex.org/W2293235042","https://openalex.org/W2296504842","https://openalex.org/W2323311103","https://openalex.org/W2326035627","https://openalex.org/W2333167258","https://openalex.org/W2346946536","https://openalex.org/W2535515316","https://openalex.org/W2546006597","https://openalex.org/W2552926193","https://openalex.org/W2553631842","https://openalex.org/W2561696946","https://openalex.org/W2587518505","https://openalex.org/W2605056515","https://openalex.org/W2611644942","https://openalex.org/W2621205740","https://openalex.org/W2623333128","https://openalex.org/W2702116941","https://openalex.org/W2744031372","https://openalex.org/W2774683614","https://openalex.org/W2883878085","https://openalex.org/W2884238387","https://openalex.org/W2889319461","https://openalex.org/W2910678199","https://openalex.org/W2913709404","https://openalex.org/W2949240729","https://openalex.org/W2962182608","https://openalex.org/W2964121744","https://openalex.org/W3017631525","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6727141038","https://openalex.org/W6758610351"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"Electrocardiograms":[0],"constitute":[1],"the":[2,59,64,73,84,112],"key":[3],"diagnostic":[4,10],"tool":[5],"for":[6,27],"cardiologists.":[7,49],"While":[8],"their":[9],"value":[11],"is":[12,17],"yet":[13],"unparalleled,":[14],"electrode":[15],"placement":[16],"prone":[18],"to":[19,140],"errors,":[20],"and":[21,30,90,114,120,136,145],"sticky":[22],"electrodes":[23],"pose":[24],"a":[25,38,56,69,105],"risk":[26],"skin":[28],"irritations":[29],"may":[31],"detach":[32],"in":[33,143],"long-term":[34],"measurements.":[35],"Heart.AI":[36],"presents":[37],"fundamentally":[39],"new":[40],"approach,":[41],"transforming":[42],"motion-based":[43],"seismocardiograms":[44],"into":[45],"electrocardiograms":[46],"interpretable":[47],"by":[48,54],"Measurements":[50],"are":[51,98],"conducted":[52],"simply":[53],"placing":[55],"sensor":[57],"on":[58],"user's":[60],"chest.":[61],"To":[62],"generate":[63],"transformation":[65],"model,":[66],"we":[67],"trained":[68],"convolutional":[70],"autoencoder":[71],"with":[72,83],"publicly":[74],"available":[75],"CEBS":[76],"dataset.":[77],"The":[78],"transformed":[79],"ECG":[80,130],"strongly":[81],"correlates":[82],"ground":[85],"truth":[86],"(r=.94,":[87],"p<;":[88],".01),":[89],"important":[91],"features":[92],"(number":[93],"of":[94,129],"R-peaks,":[95],"QRS-complex":[96],"durations)":[97],"modeled":[99],"realistically":[100],"(Bland-Altman":[101],"analyses,":[102],"p>0.12).":[103],"On":[104],"5-point":[106],"Likert":[107],"scale,":[108],"15":[109],"cardiologists":[110],"rated":[111],"morphological":[113],"rhythmological":[115],"validity":[116],"as":[117],"high":[118],"(4.63/5":[119],"4.8/5,":[121],"respectively).":[122],"Our":[123],"electrodeless":[124],"approach":[125],"solves":[126],"crucial":[127],"problems":[128],"measurements":[131],"while":[132],"being":[133],"scalable,":[134],"accessible":[135],"inexpensive.":[137],"It":[138],"contributes":[139],"telemedicine,":[141],"especially":[142],"low-income":[144],"rural":[146],"regions":[147],"worldwide.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
