{"id":"https://openalex.org/W4403937425","doi":"https://doi.org/10.1109/iscc61673.2024.10733722","title":"Bi-directional Estimation of Infant Heart and Respiration Rates Using Machine Learning Algorithms","display_name":"Bi-directional Estimation of Infant Heart and Respiration Rates Using Machine Learning Algorithms","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4403937425","doi":"https://doi.org/10.1109/iscc61673.2024.10733722"},"language":"en","primary_location":{"id":"doi:10.1109/iscc61673.2024.10733722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","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/A5058802025","display_name":"Bithi Banik","orcid":null},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Bithi Banik","raw_affiliation_strings":["Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022"],"affiliations":[{"raw_affiliation_string":"Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022","institution_ids":["https://openalex.org/I2800207870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114076286","display_name":"Constanza Zurita Valdebenito","orcid":null},"institutions":[{"id":"https://openalex.org/I184692499","display_name":"Austin Peay State University","ror":"https://ror.org/05tx3bv88","country_code":"US","type":"education","lineage":["https://openalex.org/I184692499"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constanza Zurita Valdebenito","raw_affiliation_strings":["Austin Peay State University,Department of Mathematics and Statistics,TN,United States,37044"],"affiliations":[{"raw_affiliation_string":"Austin Peay State University,Department of Mathematics and Statistics,TN,United States,37044","institution_ids":["https://openalex.org/I184692499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103126437","display_name":"Alauddin Bhuiyan","orcid":"https://orcid.org/0000-0001-5775-2228"},"institutions":[{"id":"https://openalex.org/I184692499","display_name":"Austin Peay State University","ror":"https://ror.org/05tx3bv88","country_code":"US","type":"education","lineage":["https://openalex.org/I184692499"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Al Mamun Bhuiyan","raw_affiliation_strings":["Austin Peay State University,Department of Mathematics and Statistics,TN,United States,37044"],"affiliations":[{"raw_affiliation_string":"Austin Peay State University,Department of Mathematics and Statistics,TN,United States,37044","institution_ids":["https://openalex.org/I184692499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060025048","display_name":"Soumya P. Dash","orcid":"https://orcid.org/0000-0001-8600-5838"},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya P. Dash","raw_affiliation_strings":["Indian Institute of Technology Bhubaneswar,School of Electrical Sciences,Khordha,Odisha,India,752050"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bhubaneswar,School of Electrical Sciences,Khordha,Odisha,India,752050","institution_ids":["https://openalex.org/I99729588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754379","display_name":"Yuan Lin","orcid":"https://orcid.org/0000-0002-6974-8856"},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Yuan Lin","raw_affiliation_strings":["Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022"],"affiliations":[{"raw_affiliation_string":"Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022","institution_ids":["https://openalex.org/I2800207870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102720588","display_name":"Debasish Ghose","orcid":"https://orcid.org/0000-0001-6310-2192"},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Debasish Ghose","raw_affiliation_strings":["Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022"],"affiliations":[{"raw_affiliation_string":"Kristiania University College,School of Economics, Innovation, and Technology,Bergen,Norway,N-5022","institution_ids":["https://openalex.org/I2800207870"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058802025"],"corresponding_institution_ids":["https://openalex.org/I2800207870"],"apc_list":null,"apc_paid":null,"fwci":0.1955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4969411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.972000002861023,"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":0.972000002861023,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6429687738418579},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.557508647441864},{"id":"https://openalex.org/keywords/respiration","display_name":"Respiration","score":0.506365180015564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42933568358421326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4068419635295868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4026278853416443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.129991352558136},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1177835762500763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6429687738418579},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.557508647441864},{"id":"https://openalex.org/C182215343","wikidata":"https://www.wikidata.org/wiki/Q472287","display_name":"Respiration","level":2,"score":0.506365180015564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42933568358421326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4068419635295868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4026278853416443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.129991352558136},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1177835762500763},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc61673.2024.10733722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1989697308","https://openalex.org/W2024194599","https://openalex.org/W2082484704","https://openalex.org/W2114300323","https://openalex.org/W2618071101","https://openalex.org/W2971797472","https://openalex.org/W2989940096","https://openalex.org/W3018819023","https://openalex.org/W3022362788","https://openalex.org/W3023858750","https://openalex.org/W3036571356","https://openalex.org/W3082052804","https://openalex.org/W3131395107","https://openalex.org/W3166059093","https://openalex.org/W4200102736","https://openalex.org/W4212904355","https://openalex.org/W4214934662","https://openalex.org/W4364322563","https://openalex.org/W4381795629","https://openalex.org/W4386050007","https://openalex.org/W4386097576","https://openalex.org/W4392209900","https://openalex.org/W4393145779","https://openalex.org/W4394938956","https://openalex.org/W6849558233"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Heart":[0],"rate":[1,4,45],"and":[2,19,70,94,102,133],"respiratory":[3,47,71],"are":[5],"critical":[6],"vital":[7,110],"signs":[8,111],"in":[9,107,143],"infants,":[10],"used":[11],"as":[12,37],"non-invasive":[13,39],"indicators":[14],"to":[15,32],"assess":[16],"health":[17],"status":[18],"address":[20],"potential":[21],"issues.":[22],"However,":[23],"many":[24],"healthcare":[25],"settings":[26],"face":[27],"a":[28],"limitation:":[29],"the":[30,54,57,64,75,95,113,126,139],"inability":[31],"measure":[33],"these":[34,109],"parameters":[35],"simultaneously,":[36],"most":[38],"medical-grade":[40],"instruments":[41],"track":[42],"either":[43],"heart":[44,69],"or":[46],"rate,":[48],"not":[49],"both.":[50],"Addressing":[51],"this":[52],"gap,":[53],"study":[55],"investigates":[56],"use":[58],"of":[59,67,77],"machine":[60,79],"learning":[61,80],"techniques":[62],"for":[63,117],"bi-directional":[65],"estimation":[66],"infant":[68],"rates.":[72],"It":[73],"evaluates":[74],"performance":[76],"several":[78],"models,":[81],"including":[82],"Convolutional":[83],"Neural":[84],"Network,":[85],"Multilayer":[86],"Perceptron,":[87],"Gated":[88],"Recurrent":[89],"Units,":[90],"Long":[91],"Short-Term":[92],"Memory,":[93],"gradient":[96,127],"boosting":[97,128],"models":[98,129],"Extreme":[99,130],"Gradient":[100,104,131,135],"Boosting":[101,105,132,136],"Light":[103,134],"Machine,":[106],"predicting":[108],"using":[112],"Medical":[114],"Information":[115],"Mart":[116],"Intensive":[118],"Care":[119],"II":[120],"dataset.":[121],"Numerical":[122],"results":[123],"show":[124],"that":[125],"Machine":[137],"outperformed":[138],"neural":[140],"network-based":[141],"approaches":[142],"accuracy.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
