{"id":"https://openalex.org/W2655940694","doi":"https://doi.org/10.1109/ccece.2017.7946619","title":"Time-delay lifts for physiological signal exploration: An application to ECG analysis","display_name":"Time-delay lifts for physiological signal exploration: An application to ECG analysis","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2655940694","doi":"https://doi.org/10.1109/ccece.2017.7946619","mag":"2655940694"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2017.7946619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5067129506","display_name":"Benjamin A. Fraser","orcid":null},"institutions":[{"id":"https://openalex.org/I138900291","display_name":"Nipissing University","ror":"https://ror.org/05k14ba46","country_code":"CA","type":"education","lineage":["https://openalex.org/I138900291"]},{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Benjamin A. Fraser","raw_affiliation_strings":["Department of Computer Science and Mathematics, Nipissing University, North Bay, Canada","Department of Mathematics and Statistics, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Nipissing University, North Bay, Canada","institution_ids":["https://openalex.org/I138900291"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085963119","display_name":"Mark P. Wachowiak","orcid":"https://orcid.org/0000-0002-3852-6767"},"institutions":[{"id":"https://openalex.org/I138900291","display_name":"Nipissing University","ror":"https://ror.org/05k14ba46","country_code":"CA","type":"education","lineage":["https://openalex.org/I138900291"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark P. Wachowiak","raw_affiliation_strings":["Department of Computer Science and Mathematics, Nipissing University, North Bay, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Nipissing University, North Bay, Canada","institution_ids":["https://openalex.org/I138900291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032808980","display_name":"Renata Wachowiak-Smol\u00edkov\u00e1","orcid":null},"institutions":[{"id":"https://openalex.org/I138900291","display_name":"Nipissing University","ror":"https://ror.org/05k14ba46","country_code":"CA","type":"education","lineage":["https://openalex.org/I138900291"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Renata Wachowiak-Smolikova","raw_affiliation_strings":["Nipissing University, North Bay, ON, CA"],"affiliations":[{"raw_affiliation_string":"Nipissing University, North Bay, ON, CA","institution_ids":["https://openalex.org/I138900291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067129506"],"corresponding_institution_ids":["https://openalex.org/I138900291","https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.2271,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53884013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13362","display_name":"Slime Mold and Myxomycetes Research","score":0.9254000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6818869113922119},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.6473633646965027},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5865293145179749},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5506146550178528},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5460110902786255},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.522093653678894},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5071711540222168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4733852446079254},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3500173091888428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33764487504959106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31975293159484863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21223649382591248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1385696530342102},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12329056859016418}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6818869113922119},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.6473633646965027},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5865293145179749},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5506146550178528},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5460110902786255},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.522093653678894},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5071711540222168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4733852446079254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3500173091888428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33764487504959106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31975293159484863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21223649382591248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1385696530342102},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12329056859016418},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2017.7946619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2017.7946619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W144454689","https://openalex.org/W596238075","https://openalex.org/W1486210143","https://openalex.org/W1526753291","https://openalex.org/W1549386224","https://openalex.org/W1586977179","https://openalex.org/W1991566301","https://openalex.org/W2035793643","https://openalex.org/W2076183637","https://openalex.org/W2095409369","https://openalex.org/W2102368730","https://openalex.org/W2154187696","https://openalex.org/W2162800060","https://openalex.org/W2165061769","https://openalex.org/W2261714614","https://openalex.org/W2267136012","https://openalex.org/W2293055739","https://openalex.org/W2465769872","https://openalex.org/W2500087697","https://openalex.org/W2548837091","https://openalex.org/W3140579943","https://openalex.org/W4251489240"],"related_works":["https://openalex.org/W4389397071","https://openalex.org/W1919101720","https://openalex.org/W2023045191","https://openalex.org/W4390822878","https://openalex.org/W2952839243","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Accelerated":[0],"acquisition":[1],"of":[2,43,60,75,95],"long-term":[3],"and":[4,13,27,106],"longitudinal":[5,129],"signals":[6],"has":[7,19],"motivated":[8],"new":[9],"approaches":[10],"for":[11,23,67,119,128],"processing":[12],"analysis.":[14],"Topological":[15],"data":[16],"analysis":[17],"(TDA)":[18],"recently":[20],"been":[21],"proposed":[22],"analyzing":[24,68],"these":[25],"large":[26],"complex":[28,124],"data.":[29],"TDA":[30,45,52,102],"provides":[31],"significant":[32],"insight":[33],"through":[34],"coarse,":[35],"global":[36],"structures,":[37],"while":[38],"maintaining":[39],"the":[40],"local":[41],"structure":[42,54],"measurements.":[44],"visualizations":[46,103],"enhance":[47],"its":[48],"interpretive":[49],"power.":[50],"However,":[51],"recovers":[53],"only":[55],"with":[56],"a":[57,65,72,79,93,116],"judicious":[58],"choice":[59],"parameters.":[61],"In":[62],"this":[63],"paper,":[64],"method":[66],"time":[69,96,125],"series":[70],"involving":[71],"time-delay":[73],"lift":[74],"that":[76],"signal":[77],"to":[78,99],"higher":[80],"dimension":[81],"is":[82,87],"proposed,":[83],"wherein":[84],"useful":[85],"information":[86],"obtained":[88],"by":[89],"considering":[90],"lifts":[91],"across":[92],"range":[94],"delays.":[97],"Applied":[98],"ECG":[100],"records,":[101],"uncover":[104],"ectopic":[105],"other":[107],"abnormal":[108],"occurrences":[109],"in":[110],"long":[111],"signals.":[112,131],"The":[113],"results":[114],"indicate":[115],"promising":[117],"direction":[118],"providing":[120],"further":[121],"insights":[122],"into":[123],"series,":[126],"particularly":[127],"physiological":[130]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}