{"id":"https://openalex.org/W2606116894","doi":"https://doi.org/10.1109/bhi.2017.7897292","title":"Integrating Markov model and morphology analysis for finer classification of ventricular arrhythmia in real time","display_name":"Integrating Markov model and morphology analysis for finer classification of ventricular arrhythmia in real time","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2606116894","doi":"https://doi.org/10.1109/bhi.2017.7897292","mag":"2606116894"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2017.7897292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","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/A5003315018","display_name":"Purva R. Gawde","orcid":null},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Purva R Gawde","raw_affiliation_strings":["Department of Computer Science, Kent State University, Kent, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087544485","display_name":"Arvind K. Bansal","orcid":"https://orcid.org/0000-0001-6051-6680"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arvind K. Bansal","raw_affiliation_strings":["Department of Computer Science, Kent State University, Kent, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kent State University, Kent, OH, USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110334584","display_name":"Jeffrey A. Nielson","orcid":"https://orcid.org/0000-0002-5534-6514"},"institutions":[{"id":"https://openalex.org/I1294639003","display_name":"Summa Health System","ror":"https://ror.org/03p6fpw74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1294639003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey A. Nielson","raw_affiliation_strings":["Departmetn of Emergency, Summa Health System, Akron, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departmetn of Emergency, Summa Health System, Akron, OH, USA","institution_ids":["https://openalex.org/I1294639003"]}]}],"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":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"101","issue":null,"first_page":"409","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9847999811172485,"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/ventricular-tachycardia","display_name":"Ventricular tachycardia","score":0.7018420100212097},{"id":"https://openalex.org/keywords/ventricular-fibrillation","display_name":"Ventricular fibrillation","score":0.651951253414154},{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.5383511781692505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5093692541122437},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4948844313621521},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4923757314682007},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.47712254524230957},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.43932658433914185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4382883310317993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4243423342704773},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4176768958568573},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.40622350573539734},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3815559446811676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24978038668632507},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22853073477745056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1726459264755249},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.06563499569892883}],"concepts":[{"id":"https://openalex.org/C2776331378","wikidata":"https://www.wikidata.org/wiki/Q56002","display_name":"Ventricular tachycardia","level":2,"score":0.7018420100212097},{"id":"https://openalex.org/C2781005686","wikidata":"https://www.wikidata.org/wiki/Q848662","display_name":"Ventricular fibrillation","level":2,"score":0.651951253414154},{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.5383511781692505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5093692541122437},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4948844313621521},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4923757314682007},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.47712254524230957},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.43932658433914185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4382883310317993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4243423342704773},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4176768958568573},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.40622350573539734},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3815559446811676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24978038668632507},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22853073477745056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1726459264755249},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.06563499569892883},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2017.7897292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","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":13,"referenced_works":["https://openalex.org/W1917953969","https://openalex.org/W1963822842","https://openalex.org/W1966345664","https://openalex.org/W1976543942","https://openalex.org/W2056174586","https://openalex.org/W2095428098","https://openalex.org/W2111859219","https://openalex.org/W2122410182","https://openalex.org/W2126428415","https://openalex.org/W2145159920","https://openalex.org/W2162800060","https://openalex.org/W2167215211","https://openalex.org/W3217261033"],"related_works":["https://openalex.org/W2170901253","https://openalex.org/W2036876924","https://openalex.org/W2156558544","https://openalex.org/W2277699573","https://openalex.org/W1995646047","https://openalex.org/W2014521635","https://openalex.org/W1983356771","https://openalex.org/W111420393","https://openalex.org/W2616894838","https://openalex.org/W2056893475"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"technique":[7,88],"which":[8],"integrates":[9],"morphological":[10],"analysis":[11],"of":[12,23,53,66],"ECG":[13],"signal":[14],"with":[15,101],"Markov":[16,42,54],"Model":[17],"to":[18],"derive":[19],"four":[20],"major":[21],"subclasses":[22,30,100],"ventricular":[24,32,34,36,40,49],"arrhythmia":[25,50],"in":[26,58,104],"real":[27,59,105],"time.":[28,106],"The":[29,64,87],"are:":[31],"tachycardia,":[33],"fibrillation,":[35],"flutter":[37],"and":[38,96],"premature":[39],"complex.":[41],"Models":[43,55],"have":[44],"been":[45,69,90],"trained":[46],"using":[47,82],"MIT-BIH":[48],"database.":[51],"Parameters":[52],"are":[56],"adapted":[57],"time":[60],"for":[61],"various":[62],"patients.":[63],"accuracy":[65,103],"classification":[67],"has":[68,89],"further":[70],"improved":[71],"by":[72],"detecting":[73],"the":[74,99],"P":[75],"waves":[76],"potentially":[77],"embedded":[78],"inside":[79],"QRS":[80],"complex":[81],"an":[83],"area":[84],"subtraction":[85],"method.":[86],"tested":[91],"on":[92],"standard":[93],"public":[94],"database,":[95],"it":[97],"diagnoses":[98],"high":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
