{"id":"https://openalex.org/W2783415627","doi":"https://doi.org/10.1109/uemcon.2017.8249110","title":"Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning","display_name":"Hear the heart: Daily cardiac health monitoring using Ear-ECG and machine learning","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783415627","doi":"https://doi.org/10.1109/uemcon.2017.8249110","mag":"2783415627"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2017.8249110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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/A5101659962","display_name":"Qingxue Zhang","orcid":"https://orcid.org/0000-0001-7125-7928"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qingxue Zhang","raw_affiliation_strings":["University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["Fudan University, China","University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"University of Texas at Dallas, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103110361","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-2036-5926"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["University of Texas at Dallas, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Dallas, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101659962"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7007,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74982762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9919000267982483,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/qrs-complex","display_name":"QRS complex","score":0.8107617497444153},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.7687140703201294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5958106517791748},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5624337196350098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156828165054321},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4877546429634094},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4671235680580139},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4573878347873688},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.43336641788482666},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4076458811759949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38471508026123047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3647349178791046},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2399965524673462},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.19057422876358032},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10044822096824646},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07024875283241272}],"concepts":[{"id":"https://openalex.org/C111773187","wikidata":"https://www.wikidata.org/wiki/Q1969239","display_name":"QRS complex","level":2,"score":0.8107617497444153},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7687140703201294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958106517791748},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5624337196350098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156828165054321},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4877546429634094},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4671235680580139},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4573878347873688},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.43336641788482666},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4076458811759949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38471508026123047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3647349178791046},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2399965524673462},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.19057422876358032},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10044822096824646},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07024875283241272},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon.2017.8249110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1492446925","https://openalex.org/W1570448133","https://openalex.org/W1966281848","https://openalex.org/W2057613309","https://openalex.org/W2146609812","https://openalex.org/W2183789002","https://openalex.org/W2527499963","https://openalex.org/W2565889495","https://openalex.org/W2586108858","https://openalex.org/W2618071101","https://openalex.org/W2624522891","https://openalex.org/W2711661370","https://openalex.org/W2736905223","https://openalex.org/W6731189425"],"related_works":["https://openalex.org/W194003390","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644"],"abstract_inverted_index":{"Daily":[0],"cardiac":[1,147],"health":[2,148],"monitoring":[3,149],"is":[4,60,128],"of":[5,32,117,124],"high":[6],"importance":[7],"for":[8,22,70,78,136],"effective":[9],"heart":[10],"disease":[11],"prediction/management.":[12],"In":[13],"this":[14],"study,":[15],"we":[16,44,63],"propose":[17],"a":[18,65,82,109],"novel":[19],"ear-worn":[20,134],"system":[21,102,135],"long-term":[23],"continuous":[24],"ECG":[25,35,48,137],"QRS":[26,90,95,138],"duration":[27,139],"tracking,":[28],"to":[29,53,85],"overcome":[30],"challenges":[31],"current":[33],"wearable":[34,111],"systems":[36],"such":[37],"as":[38],"the":[39,47,51,55,87,93,100,115,118,122,129],"uncomfortableness":[40],"and":[41,57,81,113],"inconvenience.":[42],"Specifically,":[43],"place":[45],"all":[46],"electrodes":[49],"behind":[50],"ear":[52],"enhance":[54],"wearability,":[56],"weak/noisy":[58],"ear-ECG":[59,94,105],"obtained.":[61],"Then,":[62],"use":[64],"support":[66],"vector":[67],"machine":[68],"classifier":[69],"heartbeat":[71,79],"identification,":[72],"apply":[73],"an":[74,104,133],"unsupervised":[75],"learning":[76],"approach":[77],"purification,":[80],"regression":[83],"model":[84],"derive":[86],"standard":[88],"chest-ECG":[89],"durations":[91],"from":[92],"durations.":[96],"We":[97],"have":[98],"evaluated":[99],"proof-of-concept":[101],"using":[103],"dataset":[106],"acquired":[107],"by":[108],"semi-customized":[110],"prototype,":[112],"demonstrated":[114],"effectiveness":[116],"proposed":[119],"system.":[120],"To":[121],"best":[123],"our":[125],"knowledge,":[126],"it":[127],"first":[130],"study":[131],"on":[132],"estimation,":[140],"which":[141],"can":[142],"be":[143],"used":[144],"in":[145],"daily":[146],"applications.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
