{"id":"https://openalex.org/W2072121634","doi":"https://doi.org/10.1109/icacci.2013.6637482","title":"Cumulant based Teager energy operator for ECG signal modeling","display_name":"Cumulant based Teager energy operator for ECG signal modeling","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2072121634","doi":"https://doi.org/10.1109/icacci.2013.6637482","mag":"2072121634"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5079605564","display_name":"V. Sharmila","orcid":"https://orcid.org/0000-0001-5312-1066"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"V. Sharmila","raw_affiliation_strings":["Department of ECE, Kamala Institute of Technology and Science, Huzurabad, Andhra Pradesh, India","Dept. of ECE, Kamala Inst. of Technol. & Sci., Huzurabad, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, Kamala Institute of Technology and Science, Huzurabad, Andhra Pradesh, India","institution_ids":[]},{"raw_affiliation_string":"Dept. of ECE, Kamala Inst. of Technol. & Sci., Huzurabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074340054","display_name":"E. Hari Krishna","orcid":"https://orcid.org/0000-0001-6668-7245"},"institutions":[{"id":"https://openalex.org/I28210344","display_name":"Kakatiya University","ror":"https://ror.org/012zpbg81","country_code":"IN","type":"education","lineage":["https://openalex.org/I28210344"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Hari Krishna","raw_affiliation_strings":["Department of ECE, KU CE&T, Kakatiya University, Warangal, Andhra Pradesh, India","Dept. of ECE, Kakatiya Univ., Warangal, India"],"affiliations":[{"raw_affiliation_string":"Department of ECE, KU CE&T, Kakatiya University, Warangal, Andhra Pradesh, India","institution_ids":["https://openalex.org/I28210344"]},{"raw_affiliation_string":"Dept. of ECE, Kakatiya Univ., Warangal, India","institution_ids":["https://openalex.org/I28210344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108078990","display_name":"K. Ashoka Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I28210344","display_name":"Kakatiya University","ror":"https://ror.org/012zpbg81","country_code":"IN","type":"education","lineage":["https://openalex.org/I28210344"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Ashoka Reddy","raw_affiliation_strings":["Departmentof E &I Engineering, Kakatiya Institute of Technology and Science, Warangal, Andhra Pradesh, India","Dept..of E &I Eng., Kakatiya Inst. of Technol. & Sci., Warangal, India"],"affiliations":[{"raw_affiliation_string":"Departmentof E &I Engineering, Kakatiya Institute of Technology and Science, Warangal, Andhra Pradesh, India","institution_ids":["https://openalex.org/I28210344"]},{"raw_affiliation_string":"Dept..of E &I Eng., Kakatiya Inst. of Technol. & Sci., Warangal, India","institution_ids":["https://openalex.org/I28210344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079605564"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.143204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1959","last_page":"1963"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.983299970626831,"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/energy-operator","display_name":"Energy operator","score":0.8575515747070312},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.678101122379303},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6272945404052734},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.615373432636261},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.6130578517913818},{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.6011896133422852},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5692293047904968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5388756394386292},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5055050849914551},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49294447898864746},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48243388533592224},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.475251168012619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44415953755378723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4389197826385498},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.41740575432777405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4061020314693451},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.383057177066803},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2736000120639801},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11521050333976746},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1038544774055481}],"concepts":[{"id":"https://openalex.org/C19579662","wikidata":"https://www.wikidata.org/wiki/Q461145","display_name":"Energy operator","level":3,"score":0.8575515747070312},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.678101122379303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6272945404052734},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.615373432636261},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.6130578517913818},{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.6011896133422852},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5692293047904968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5388756394386292},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5055050849914551},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49294447898864746},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48243388533592224},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.475251168012619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44415953755378723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4389197826385498},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.41740575432777405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4061020314693451},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.383057177066803},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11521050333976746},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1038544774055481},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W173069007","https://openalex.org/W631502863","https://openalex.org/W1966513640","https://openalex.org/W2026741736","https://openalex.org/W2123108487","https://openalex.org/W2137619570","https://openalex.org/W2160986881","https://openalex.org/W2162933594","https://openalex.org/W2163070602","https://openalex.org/W6606931913"],"related_works":["https://openalex.org/W2907162295","https://openalex.org/W2003857655","https://openalex.org/W2543302838","https://openalex.org/W1983172016","https://openalex.org/W2026563148","https://openalex.org/W2144304265","https://openalex.org/W1956865565","https://openalex.org/W2162241048","https://openalex.org/W2115014067","https://openalex.org/W2403892550"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,84],"cumulant":[4],"based":[5],"Teager":[6,102],"energy":[7,68,103,145],"operator":[8],"(TEO)":[9],"method":[10,134],"is":[11],"proposed":[12,133],"to":[13,96,116,139],"enhance":[14],"the":[15,49,61,121,129,132,137,144],"morphological":[16],"features":[17],"of":[18,51,82,94,101,131],"noisy":[19,88],"stress":[20],"ECG":[21,86],"signals":[22],"which":[23],"are":[24,120],"corrupted":[25],"with":[26,44,90],"Gaussian":[27,62],"noise,":[28],"and":[29,53,64,74,112,142,148],"other":[30],"artifacts":[31],"like":[32],"baseline":[33],"wander.":[34],"It":[35,77],"uses":[36],"higher":[37],"order":[38,58],"statistical":[39,122],"(HOS)":[40],"cumulants":[41,59],"in":[42,72,105,114,135,146],"combination":[43],"nonlinear":[45,52,70],"TEO":[46,65],"required":[47],"for":[48,125],"analysis":[50],"non":[54],"stationary":[55],"signals.":[56],"Higher":[57],"suppress":[60],"noise":[63,117,140],"derives":[66],"an":[67,79],"from":[69,87],"components":[71],"time":[73,106,147],"frequency":[75,110,149],"domains.":[76,150],"exhibits":[78],"attractive":[80],"feature":[81],"retrieving":[83],"clean":[85],"recordings":[89],"extremely":[91],"poor":[92],"SNR":[93],"up":[95],"10":[97],"dB.":[98],"The":[99],"mean":[100],"(TE)":[104],"as":[107,109],"well":[108],"domains":[111],"improvement":[113],"signal":[115,138],"ratio":[118,141],"(SNRI)":[119],"measures":[123],"used":[124],"classification.":[126],"Results":[127],"reveal":[128],"efficacy":[130],"improving":[136],"computing":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}