{"id":"https://openalex.org/W4281698861","doi":"https://doi.org/10.1145/3523286.3524551","title":"Implementation and acceleration scheme of Heart sound classification Algorithm based on SOC-FPGA","display_name":"Implementation and acceleration scheme of Heart sound classification Algorithm based on SOC-FPGA","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4281698861","doi":"https://doi.org/10.1145/3523286.3524551"},"language":"en","primary_location":{"id":"doi:10.1145/3523286.3524551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089711319","display_name":"Guozheng Li","orcid":"https://orcid.org/0000-0001-5568-0347"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozheng Li","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022456738","display_name":"Hongbo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087153","display_name":"Fuwai Yunnan Cardiovascular Hospital","ror":"https://ror.org/000r80389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Yang","raw_affiliation_strings":["Fuwai Cardiovascular Hospital of Yunnan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuwai Cardiovascular Hospital of Yunnan Province, China","institution_ids":["https://openalex.org/I4210087153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028737622","display_name":"Tao Guo","orcid":"https://orcid.org/0000-0002-6898-9797"},"institutions":[{"id":"https://openalex.org/I4210087153","display_name":"Fuwai Yunnan Cardiovascular Hospital","ror":"https://ror.org/000r80389","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Guo","raw_affiliation_strings":["Fuwai Cardiovascular Hospital of Yunnan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuwai Cardiovascular Hospital of Yunnan Province, China","institution_ids":["https://openalex.org/I4210087153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076828086","display_name":"Weilain Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilain Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9620000123977661,"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":0.9620000123977661,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7956252098083496},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7718559503555298},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5322347283363342},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5250106453895569},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44598686695098877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4233858585357666},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41343414783477783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37552130222320557},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37001529335975647},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2896355390548706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956252098083496},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7718559503555298},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5322347283363342},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5250106453895569},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44598686695098877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4233858585357666},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41343414783477783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37552130222320557},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37001529335975647},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2896355390548706},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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:10.1145/3523286.3524551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3118884739","https://openalex.org/W3135899206"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2355315220","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W4293226380","https://openalex.org/W2373535795","https://openalex.org/W2082487009","https://openalex.org/W2406926880","https://openalex.org/W4225949190"],"abstract_inverted_index":{"ABSTRACT-Widespread":[0],"screening":[1,170],"of":[2,7,19,24,49,104,117,123,148,171],"congenital":[3,172],"heart":[4,42,65,173],"disease":[5],"is":[6,141],"time-consuming,":[8],"labor-consuming,":[9],"and":[10,46,69,126],"difficult":[11],"for":[12,80,167],"rural":[13],"doctors":[14],"to":[15,34,89,94,108,114],"master":[16],"the":[17,36,91,102,118,138,151,155,168],"skill":[18],"cardiac":[20],"auscultation.":[21],"A":[22],"kind":[23],"machine-assisted":[25,169],"diagnosis":[26],"method":[27],"was":[28,51,78,106],"put":[29],"forwarded":[30],"in":[31],"this":[32,63],"paper":[33],"solve":[35],"above":[37],"problems.":[38],"In":[39,62,99,112],"which":[40],"a":[41,54],"sound":[43],"classification":[44,139,156],"algorithm":[45],"acceleration":[47,116],"plan":[48],"CNN":[50,92,105],"implemented":[52],"on":[53],"small":[55],"scale":[56],"SoC-FPGA":[57],"chip":[58],"with":[59,154],"fewer":[60],"resources.":[61],"method,":[64],"sounds":[66],"were":[67,87,131],"denoised":[68],"segmented":[70],"into":[71],"cardio":[72],"cycles":[73],"first.":[74],"Then":[75],"STFT":[76],"transformation":[77],"done":[79],"time-frequency":[81,85],"feature":[82],"extraction.":[83],"The":[84,133],"features":[86],"used":[88],"train":[90],"model":[93,97,124],"extract":[95],"network":[96],"parameters.":[98],"hardware":[100],"implementation,":[101],"parallelism":[103],"corresponding":[107],"FPGA":[109],"parallel":[110],"hardware.":[111],"order":[113],"make":[115],"algorithm,":[119],"loop":[120],"unrolling,":[121],"fixed-point":[122],"parameter,":[125],"reducing":[127],"global":[128],"memory":[129],"access":[130],"done.":[132],"experimental":[134],"results":[135],"show":[136],"that":[137],"speed":[140],"3.13":[142],"times":[143],"as":[144,146],"much":[145],"one":[147],"CPU":[149],"at":[150],"same":[152],"conditions":[153],"accuracy":[157],"not":[158],"any":[159],"dropping":[160],"significantly.":[161],"It":[162],"provides":[163],"an":[164],"offline":[165],"solution":[166],"disease.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}