{"id":"https://openalex.org/W7124966842","doi":"https://doi.org/10.1109/bsn66969.2025.11337254","title":"Comparing Quantization Methods for On-Edge ECG Interpretation Using Multi-Task CNN","display_name":"Comparing Quantization Methods for On-Edge ECG Interpretation Using Multi-Task CNN","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7124966842","doi":"https://doi.org/10.1109/bsn66969.2025.11337254"},"language":null,"primary_location":{"id":"doi:10.1109/bsn66969.2025.11337254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","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/A5032659878","display_name":"Kiriaki J. Rajotte","orcid":"https://orcid.org/0000-0001-8273-7652"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kiriaki J. Rajotte","raw_affiliation_strings":["Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035909313","display_name":"Bashima Islam","orcid":"https://orcid.org/0000-0002-1917-054X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bashima Islam","raw_affiliation_strings":["Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123395870","display_name":"David D. McManus","orcid":null},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David D. McManus","raw_affiliation_strings":["University of Massachusetts Chan Medical School,Department of Medicine,Worcester,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Chan Medical School,Department of Medicine,Worcester,MA,USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123429926","display_name":"Xinming Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinming Huang","raw_affiliation_strings":["Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083490677","display_name":"Edward A. Clancy","orcid":"https://orcid.org/0000-0002-0729-2523"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward A. Clancy","raw_affiliation_strings":["Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Electrical and Computer Engineering,Worcester,MA,USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032659878"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69449575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9821000099182129,"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":0.9821000099182129,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.005400000140070915,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.0010000000474974513,"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/quantization","display_name":"Quantization (signal processing)","score":0.7046999931335449},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5722000002861023},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.5368000268936157},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5335000157356262},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5271000266075134},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4641000032424927},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7046999931335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5898000001907349},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5722000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515999794006348},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.5368000268936157},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5335000157356262},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40149998664855957},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33469998836517334},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32919999957084656},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2939000129699707},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn66969.2025.11337254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2493452879","https://openalex.org/W2884561390","https://openalex.org/W3027572331","https://openalex.org/W4319300630","https://openalex.org/W4404049549"],"related_works":[],"abstract_inverted_index":{"Wearable":[0],"devices":[1],"have":[2],"begun":[3],"to":[4,9,27,53,68,167],"incorporate":[5],"machine":[6],"learning":[7],"models":[8],"assist":[10],"with":[11,112,120],"detection":[12],"of":[13,75,118,145,165,180],"various":[14],"cardiac":[15],"conditions.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"developed":[21,47],"a":[22,183],"multi-task":[23],"convolutional":[24],"neural":[25],"network":[26],"simultaneously":[28],"predict":[29],"<tex":[30,109,168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,110,169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{7":[32],"5}$</tex>":[33],"diagnostic,":[34],"form":[35],"and":[36,80,105,192],"rhythm":[37],"statements":[38,123,166],"from":[39],"10-s":[40],"duration,":[41],"12-lead":[42,87,149],"ECGs.":[43],"The":[44],"model,":[45],"originally":[46],"off-line":[48],"in":[49,73,128],"TensorFlow,":[50],"was":[51,66,89,131],"converted":[52],"the":[54,61,86,92,99,106,148,163,189],"FlatBuffers":[55],"format":[56],"for":[57,85,133,147,188],"on-edge":[58],"AI":[59],"using":[60],"LiteRT":[62],"toolset.":[63],"Posttraining":[64],"quantization":[65,136],"used":[67],"compare":[69],"different":[70],"numerical":[71],"precisions":[72],"terms":[74],"model":[76,78,96,103,108],"size,":[77],"performance":[79,84,130],"inference":[81],"time.":[82],"Classifier":[83],"configuration":[88,150],"consistent":[90],"between":[91],"32-bit":[93],"floating":[94],"point":[95],"(\u201cfloat32\u201d":[97],"baseline),":[98],"dynamic":[100],"range":[101],"quantized":[102,194],"(DR)":[104],"float16":[107,191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(p=0.92)$</tex>":[111],"an":[113,140,178],"average":[114,141,179],"macro":[115,142,174],"AUC":[116,143],"score":[117,144,176],"0.893":[119],"all":[121,152],"output":[122],"considered.":[124],"A":[125],"large":[126],"degradation":[127],"classification":[129],"observed":[132],"8-bit":[134],"integer":[135],"(int8)":[137],"which":[138],"yielded":[139],"0.513":[146],"across":[151],"statements.":[153],"To":[154],"address":[155],"class":[156],"imbalance,":[157],"minority":[158],"classes":[159,172],"were":[160],"removed.":[161],"Reducing":[162],"number":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{4":[170],"1}$</tex>":[171],"increased":[173],"F1":[175],"by":[177],"72.6%":[181],"(to":[182],"mean":[184],"value":[185],"about":[186],"0.358)":[187],"float32,":[190],"DR":[193],"models.":[195]},"counts_by_year":[],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2026-01-21T00:00:00"}