{"id":"https://openalex.org/W2182008109","doi":"https://doi.org/10.1109/biocas.2015.7348364","title":"Bowel sound based digestion state recognition using artificial neural network","display_name":"Bowel sound based digestion state recognition using artificial neural network","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2182008109","doi":"https://doi.org/10.1109/biocas.2015.7348364","mag":"2182008109"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2015.7348364","doi":"https://doi.org/10.1109/biocas.2015.7348364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348364","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5011774751","display_name":"Yue Yin","orcid":"https://orcid.org/0000-0001-5651-3233","observed_orcids":["https://orcid.org/0000-0001-5651-3233"]},"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":"Yue Yin","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033625784","display_name":"Wendi Yang","orcid":"https://orcid.org/0000-0002-2406-5103","observed_orcids":["https://orcid.org/0000-0002-2406-5103"]},"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":"Wendi Yang","raw_affiliation_strings":["Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063888012","display_name":"Hanjun Jiang","orcid":"https://orcid.org/0000-0003-4911-0748","observed_orcids":["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":["Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356864","display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0001-6567-0759","observed_orcids":["https://orcid.org/0000-0001-6567-0759","https://orcid.org/0000-0002-4398-536X","https://orcid.org/0000-0002-3367-7478"]},"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":["Institute of Microelectronics, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":12.9038,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98155738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9506999850273132,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9506999850273132,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10365","display_name":"Gastrointestinal motility and disorders","score":0.013500000350177288,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.008200000040233135,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intestinal-motility","display_name":"intestinal motility","score":0.8330000042915344},{"id":"https://openalex.org/keywords/adaptive-noise-cancellation","display_name":"adaptive noise cancellation","score":0.8009999990463257},{"id":"https://openalex.org/keywords/lms-algorithm","display_name":"LMS algorithm","score":0.7689999938011169},{"id":"https://openalex.org/keywords/time-frequency-feature-extraction","display_name":"time-frequency feature extraction","score":0.6890000104904175},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9580000042915344},{"id":"https://openalex.org/keywords/threshold-detection","display_name":"threshold detection","score":0.7910000085830688},{"id":"https://openalex.org/keywords/gastrointestinal-monitoring","display_name":"gastrointestinal monitoring","score":0.3089999854564667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552636027336121},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6449947953224182},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6097502112388611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5693525671958923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53465735912323},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5295373201370239},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5173675417900085},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.49060478806495667},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.48464757204055786},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4780626595020294},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45159292221069336},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43553340435028076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4147465229034424},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4142898619174957},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.39928245544433594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1763519048690796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16063758730888367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11164101958274841},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2015.7348364","doi":"https://doi.org/10.1109/biocas.2015.7348364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348364","pdf_url":null,"source":{"id":"https://openalex.org/S4363608179","display_name":"IEEE Biomedical Circuits and Systems Conference (BioCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.428600013256073,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1912415617","https://openalex.org/W1976684619","https://openalex.org/W1995168071","https://openalex.org/W2029065884","https://openalex.org/W2066832334","https://openalex.org/W2085171379","https://openalex.org/W2148695216","https://openalex.org/W2533770105","https://openalex.org/W2962179642","https://openalex.org/W6649025975","https://openalex.org/W6765645210"],"related_works":["https://openalex.org/W2906425105","https://openalex.org/W2962179642","https://openalex.org/W7164028388","https://openalex.org/W3211365949","https://openalex.org/W2085171379","https://openalex.org/W2416502899","https://openalex.org/W3025104740","https://openalex.org/W4206738674","https://openalex.org/W3081888009","https://openalex.org/W4407627915"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,141],"of":[3,120,147],"recognizing":[4],"the":[5,9,39,43,47,56,60,64,76,82,99,112,117,129,152],"digestion":[6,130],"states":[7],"from":[8,42],"bowel":[10,22],"sound":[11,23],"signals":[12,24,45],"is":[13],"proposed":[14,153],"by":[15],"using":[16,27],"an":[17,71],"artificial":[18],"neural":[19,101],"network.":[20,154],"The":[21,36,49,107,132],"are":[25,87],"filtered":[26],"a":[28,91,143],"two-step":[29],"adaptive":[30,50],"filter":[31,51],"first":[32],"for":[33],"noise":[34,58],"cancelling.":[35],"network":[37,102],"uses":[38],"extracted":[40,88],"features":[41,79],"processed":[44],"as":[46],"input.":[48],"can":[52],"effectively":[53],"cancel":[54],"both":[55,81],"environment":[57],"and":[59,70,84,127],"body":[61],"noise/disturbance":[62],"with":[63,94,103,151],"Least":[65],"Mean":[66],"Square":[67],"algorithm":[68],"(LMS)":[69],"improved":[72],"two-stage":[73],"structure.":[74],"Unlike":[75],"traditional":[77],"studies,":[78],"in":[80],"time":[83],"frequency":[85],"domains":[86],"to":[89,97,123],"form":[90],"feature":[92],"vector":[93],"420":[95],"elements,":[96],"train":[98],"back-propagation":[100],"60":[104],"hidden":[105],"neurons.":[106],"threshold":[108,125],"detection":[109],"block":[110],"compares":[111],"function":[113],"outputs":[114],"that":[115,139],"reflect":[116],"continuous":[118],"variation":[119],"intestinal":[121],"motility":[122],"well-chosen":[124],"values":[126],"tell":[128],"states.":[131],"respective":[133],"experiments":[134],"on":[135],"three":[136],"volunteers":[137],"show":[138],"this":[140],"has":[142],"personal":[144],"recognition":[145],"rate":[146],"over":[148],"70":[149],"%":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
