{"id":"https://openalex.org/W1966895965","doi":"https://doi.org/10.1109/rait.2012.6194533","title":"An algorithm for fetal heart rate detection using wavelet transform","display_name":"An algorithm for fetal heart rate detection using wavelet transform","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W1966895965","doi":"https://doi.org/10.1109/rait.2012.6194533","mag":"1966895965"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2012.6194533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","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/A5078106024","display_name":"Shashi Kala Nagarkoti","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shashi Kala Nagarkoti","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062170691","display_name":"Balraj Singh","orcid":"https://orcid.org/0000-0003-0582-5936"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balraj Singh","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067184750","display_name":"Manoj Kumar","orcid":"https://orcid.org/0000-0003-4455-8690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manoj Kumar","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G. B. Pant Engineering College, Pauri, India","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, G.B. Pant Engineering College, Pauri Garhwal, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078106024"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1863,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57220931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"838","last_page":"840"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9975000023841858,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6073737144470215},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5465301871299744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146564245223999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062590837478638},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.497224360704422},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.48833057284355164},{"id":"https://openalex.org/keywords/fetal-heart-rate","display_name":"Fetal heart rate","score":0.47944703698158264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47034695744514465},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4666925072669983},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.44466108083724976},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4199759364128113},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.3459051251411438},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.22502636909484863},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17517122626304626},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15797647833824158}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6073737144470215},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5465301871299744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146564245223999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062590837478638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.497224360704422},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.48833057284355164},{"id":"https://openalex.org/C3020626262","wikidata":"https://www.wikidata.org/wiki/Q886292","display_name":"Fetal heart rate","level":4,"score":0.47944703698158264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47034695744514465},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4666925072669983},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.44466108083724976},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4199759364128113},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.3459051251411438},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.22502636909484863},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17517122626304626},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15797647833824158},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2012.6194533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2005741784","https://openalex.org/W2065506507","https://openalex.org/W2071218154","https://openalex.org/W2110075977","https://openalex.org/W2130900860","https://openalex.org/W2132597091","https://openalex.org/W2151172597","https://openalex.org/W2163430278","https://openalex.org/W2167394946","https://openalex.org/W2169125191","https://openalex.org/W2189010346","https://openalex.org/W3116222056"],"related_works":["https://openalex.org/W4251298892","https://openalex.org/W2356013541","https://openalex.org/W2385444679","https://openalex.org/W3133868776","https://openalex.org/W144391745","https://openalex.org/W2360644005","https://openalex.org/W2350667299","https://openalex.org/W2365027229","https://openalex.org/W60403443","https://openalex.org/W2472120097"],"abstract_inverted_index":{"This":[0,121],"research":[1,53],"work":[2,54],"proposes":[3],"an":[4,12],"algorithm":[5,75,122],"to":[6,43],"extract":[7],"fetal":[8,95],"heart":[9,119],"rate":[10],"from":[11,86],"ECG":[13,21,35,40,81],"measured":[14],"of":[15,52,62,77,82,114,142],"the":[16,30,33,38,87,94,112,143],"mother's":[17,31],"abdomen.":[18],"The":[19,74,127,135],"abdominal":[20],"is":[22,41,84,123,129],"a":[23],"composite":[24],"signal":[25,89],"because":[26],"it":[27],"contains":[28],"both":[29],"and":[32,66,72,117,138,148],"fetus'":[34],"signals,":[36],"but":[37],"chest":[39],"supposed":[42],"have":[44,55],"only":[45],"maternal":[46],"(MECG)":[47],"component.":[48],"Since":[49],"past,":[50],"lots":[51],"been":[56],"perform":[57],"in":[58],"this":[59],"field.":[60],"Some":[61],"these":[63],"are":[64,98,146],"threshold":[65,101],"filtering":[67],"method,":[68],"neural":[69],"network":[70],"method":[71,104,128,145],"others.":[73],"consists":[76],"two":[78],"steps:":[79],"first,":[80],"fetus":[83],"extracted":[85],"original":[88],"using":[90,100,125,131],"wavelet":[91],"transform":[92],"then":[93],"R":[96],"peaks":[97],"located":[99],"free":[102],"detection":[103,144],"that":[105],"involves":[106],"RR":[107],"moving":[108],"interval,":[109],"calculated":[110],"on":[111],"basis":[113],"normal":[115],"maximum":[116],"minimum":[118],"rate.":[120],"implemented":[124],"MATLAB.":[126],"validated":[130],"20":[132],"recorded":[133],"data.":[134],"average":[136,139],"sensitivity":[137],"positive":[140],"predictivity":[141],"97.88%":[147],"97.06%":[149],"respectively.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
