{"id":"https://openalex.org/W4391407009","doi":"https://doi.org/10.1109/tbcas.2024.3360886","title":"A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring","display_name":"A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391407009","doi":"https://doi.org/10.1109/tbcas.2024.3360886","pmid":"https://pubmed.ncbi.nlm.nih.gov/38294924"},"language":"en","primary_location":{"id":"doi:10.1109/tbcas.2024.3360886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2024.3360886","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012727563","display_name":"Ning Pu","orcid":"https://orcid.org/0009-0001-7878-6408"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Pu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101692326","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0003-0942-5278"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077204118","display_name":"Syed Muhammad Abubakar","orcid":"https://orcid.org/0000-0003-2650-6336"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Abubakar","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100804232","display_name":"Yihuai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihuai Yang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829448","display_name":"Xinpeng Liu","orcid":"https://orcid.org/0009-0003-9716-7690"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Liu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051626310","display_name":"Sining Pan","orcid":"https://orcid.org/0000-0002-5409-3367"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sining Pan","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091186752","display_name":"Yanshu Guo","orcid":"https://orcid.org/0000-0002-5800-8799"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanshu Guo","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715034","display_name":"Jia Wen","orcid":"https://orcid.org/0000-0003-1970-5329"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Jia","raw_affiliation_strings":["Research Institute of Tsinghua University in Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Tsinghua University in Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356864","display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0001-6567-0759"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063888012","display_name":"Hanjun Jiang","orcid":"https://orcid.org/0000-0003-4911-0748"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjun Jiang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5012727563"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.7164,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84176522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"18","issue":"3","first_page":"648","last_page":"661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9993000030517578,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6029324531555176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5675534605979919},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5335023403167725},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5068390965461731},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.47350412607192993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36325085163116455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3371785879135132},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2833652198314667},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09848552942276001}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6029324531555176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675534605979919},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5335023403167725},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5068390965461731},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.47350412607192993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36325085163116455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3371785879135132},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2833652198314667},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09848552942276001}],"mesh":[{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbcas.2024.3360886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbcas.2024.3360886","pdf_url":null,"source":{"id":"https://openalex.org/S80299757","display_name":"IEEE Transactions on Biomedical Circuits and Systems","issn_l":"1932-4545","issn":["1932-4545","1940-9990"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Circuits and Systems","raw_type":"journal-article"},{"id":"pmid:38294924","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38294924","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on biomedical circuits and systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G427040061","display_name":null,"funder_award_id":"XMHT20220115007","funder_id":"https://openalex.org/F4320327511","funder_display_name":"Development and Reform Commission of Shenzhen Municipality"}],"funders":[{"id":"https://openalex.org/F4320327511","display_name":"Development and Reform Commission of Shenzhen Municipality","ror":"https://ror.org/03jmg4515"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1963568407","https://openalex.org/W2027087041","https://openalex.org/W2039244426","https://openalex.org/W2046480837","https://openalex.org/W2079951953","https://openalex.org/W2118768705","https://openalex.org/W2143516309","https://openalex.org/W2144100180","https://openalex.org/W2172010302","https://openalex.org/W2211705316","https://openalex.org/W2300242332","https://openalex.org/W2751545355","https://openalex.org/W2886357685","https://openalex.org/W2945997721","https://openalex.org/W2963696043","https://openalex.org/W2990491261","https://openalex.org/W3015832382","https://openalex.org/W3018691330","https://openalex.org/W3028717114","https://openalex.org/W3092085719","https://openalex.org/W3133679594","https://openalex.org/W3138364349","https://openalex.org/W3176472851","https://openalex.org/W3176690870","https://openalex.org/W3184312100","https://openalex.org/W3204004191","https://openalex.org/W3213244903","https://openalex.org/W4205987779","https://openalex.org/W4220782773","https://openalex.org/W4220800505","https://openalex.org/W4280608115","https://openalex.org/W4286571713","https://openalex.org/W4288391576","https://openalex.org/W4289656184","https://openalex.org/W4315489696"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2617868873","https://openalex.org/W3204141294","https://openalex.org/W2366906938","https://openalex.org/W4386230336","https://openalex.org/W4306968100","https://openalex.org/W4391621807","https://openalex.org/W2349391998","https://openalex.org/W2109445684","https://openalex.org/W2081082331"],"abstract_inverted_index":{"An":[0],"always-on":[1,184],"electrocardiogram":[2],"(ECG)":[3],"anomaly":[4,99,186],"detector":[5,20,91,180],"(EAD)":[6],"with":[7,23,189],"ultra-low":[8],"power":[9,154,168,192],"(ULP)":[10],"consumption":[11,169],"is":[12,21,75,85,131,174],"proposed":[13],"for":[14,97,156],"continuous":[15],"cardiac":[16,185],"monitoring":[17],"applications.":[18],"The":[19,55,81,101,127],"featured":[22],"a":[24,35,58,88,93],"1.5-bit":[25,71],"non-feedback":[26],"delta":[27],"quantizer":[28],"(DQ)":[29],"based":[30],"feature":[31],"extractor,":[32],"followed":[33],"by":[34],"multiplier-less":[36],"convolutional":[37],"neural":[38],"network":[39],"(CNN)":[40],"engine,":[41],"which":[42,74,177],"eliminates":[43],"the":[44,64,104,117,138,157,160,164,171,179,190],"traditional":[45],"high-resolution":[46],"analog-to-digital":[47],"converter":[48],"(ADC)":[49],"in":[50,109],"conventional":[51],"signal":[52,69],"processing":[53],"systems.":[54],"DQ":[56,102,158],"uses":[57],"computing-in-capacitor":[59],"(CIC)":[60],"subtractor":[61],"to":[62,77],"quantize":[63],"sample-to-sample":[65],"difference":[66],"of":[67,87,170],"ECG":[68,98,145],"into":[70],"ternary":[72],"codes,":[73],"insensitive":[76],"low-frequency":[78],"baseline":[79],"wandering.":[80],"subsequent":[82],"event-driven":[83],"classifier":[84],"composed":[86],"low-complexity":[89],"coarse":[90],"and":[92,103,111,116,151,159],"systolic-array-based":[94],"CNN":[95,106],"engine":[96],"detection.":[100],"digital":[105,161],"are":[107,120],"fabricated":[108],"65-nm":[110],"180-nm":[112],"CMOS":[113],"technology,":[114],"respectively,":[115,163],"two":[118],"chips":[119],"integrated":[121],"on":[122,137],"board":[123],"through":[124],"wire":[125],"bonding.":[126],"measured":[128,165],"detection":[129,187],"accuracy":[130],"90.6%":[132],"\u223c":[133],"91.3%":[134],"when":[135],"tested":[136],"MIT-BIH":[139],"arrhythmia":[140],"database,":[141],"identifying":[142],"three":[143],"different":[144],"anomalies.":[146],"Operating":[147],"at":[148],"1":[149],"V":[150,153],"1.4":[152],"supplies":[155],"CNN,":[162],"long-term":[166],"average":[167],"core":[172],"circuits":[173],"36":[175],"nW,":[176],"makes":[178],"among":[181],"those":[182],"state-of-the-art":[183],"devices":[188],"lowest":[191],"consumption.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
