{"id":"https://openalex.org/W2798389614","doi":"https://doi.org/10.1109/acssc.2017.8335721","title":"Data-driven estimation of mutual information using frequency domain and its application to epilepsy","display_name":"Data-driven estimation of mutual information using frequency domain and its application to epilepsy","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2798389614","doi":"https://doi.org/10.1109/acssc.2017.8335721","mag":"2798389614"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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/A5051279777","display_name":"Rakesh Malladi","orcid":"https://orcid.org/0000-0002-7569-5332"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Malladi","raw_affiliation_strings":["Linked In Corporation, Sunnyvale, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Linked In Corporation, Sunnyvale, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007605696","display_name":"Don H. Johnson","orcid":"https://orcid.org/0000-0001-7460-2686"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Don H Johnson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041924687","display_name":"Giridhar P. Kalamangalam","orcid":"https://orcid.org/0000-0002-0178-4332"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giridhar P Kalamangalam","raw_affiliation_strings":["Department of Neurology, University of Texas Health Science Center, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurology, University of Texas Health Science Center, Houston, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040141277","display_name":"Nitin Tandon","orcid":"https://orcid.org/0000-0002-2752-2365"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitin Tandon","raw_affiliation_strings":["Department of Neurosurgery, Health Science Center, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Health Science Center, Houston, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061405587","display_name":"Behnaam Aazhang","orcid":"https://orcid.org/0000-0001-9536-7734"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnaam Aazhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5243,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66020449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"2015","last_page":"2019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.8595665693283081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624331474304199},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5913453102111816},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5785746574401855},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5311875343322754},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44821375608444214},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4372095465660095},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.4334963858127594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4168425500392914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3904874324798584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36488431692123413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23540455102920532},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16544902324676514},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09221601486206055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09123876690864563}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.8595665693283081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624331474304199},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5913453102111816},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5785746574401855},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5311875343322754},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44821375608444214},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4372095465660095},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.4334963858127594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4168425500392914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3904874324798584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36488431692123413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23540455102920532},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16544902324676514},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09221601486206055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09123876690864563},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2017.8335721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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":25,"referenced_works":["https://openalex.org/W1581043462","https://openalex.org/W1990855012","https://openalex.org/W1995875735","https://openalex.org/W2004214799","https://openalex.org/W2040150032","https://openalex.org/W2046948162","https://openalex.org/W2062229853","https://openalex.org/W2067058552","https://openalex.org/W2091739476","https://openalex.org/W2091891040","https://openalex.org/W2092939357","https://openalex.org/W2095324495","https://openalex.org/W2099111195","https://openalex.org/W2165730296","https://openalex.org/W2165808853","https://openalex.org/W2210387432","https://openalex.org/W2280655674","https://openalex.org/W2768018809","https://openalex.org/W2783457401","https://openalex.org/W2797602122","https://openalex.org/W2993383518","https://openalex.org/W3016175113","https://openalex.org/W4243863038","https://openalex.org/W4256217162","https://openalex.org/W6745922634"],"related_works":["https://openalex.org/W2101924850","https://openalex.org/W2188315358","https://openalex.org/W4387724891","https://openalex.org/W2530029028","https://openalex.org/W2137853824","https://openalex.org/W1947057263","https://openalex.org/W2594350003","https://openalex.org/W2136482299","https://openalex.org/W31749436","https://openalex.org/W2337819340"],"abstract_inverted_index":{"We":[0,20,50,104],"consider":[1],"the":[2,40,47,62,86,90,112],"problem":[3,13,48],"of":[4,25,34,82,125],"estimating":[5],"mutual":[6,26,77,87],"information":[7,27,55,78,88],"between":[8,64,89],"dependent":[9,91],"data,":[10],"an":[11],"important":[12],"in":[14,28,38,56,128],"many":[15],"science":[16],"and":[17,60,95,101],"engineering":[18],"applications.":[19],"propose":[21],"a":[22,52,80,123],"data-driven":[23],"estimator":[24],"this":[29],"paper.":[30],"The":[31],"main":[32],"novelty":[33],"our":[35,107],"solution":[36,75],"lies":[37],"transforming":[39],"data":[41,92],"to":[42,45,84,110],"frequency":[43,57,69,83],"domain":[44],"make":[46],"tractable.":[49],"define":[51],"novel":[53],"metric-mutual":[54],"(Ml-in-frequency)-to":[58],"detect":[59],"quantify":[61],"dependence":[63],"two":[65],"random":[66],"processes":[67],"across":[68],"using":[70],"Cramer's":[71],"spectral":[72],"representation.":[73],"Our":[74],"calculates":[76],"as":[79],"function":[81],"estimate":[85],"over":[93],"time":[94],"validate":[96],"its":[97],"performance":[98],"on":[99],"linear":[100],"nonlinear":[102],"models.":[103],"then":[105],"use":[106],"MI-in-frequency":[108],"metric":[109],"infer":[111],"cross-frequency":[113],"coupling":[114],"during":[115],"epileptic":[116],"seizures,":[117],"by":[118],"analyzing":[119],"electrocorticographic":[120],"recordings":[121],"from":[122],"total":[124],"eleven":[126],"seizures":[127],"four":[129],"medial":[130],"temporal":[131],"lobe":[132],"epilepsy":[133],"patients.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}