{"id":"https://openalex.org/W2899428876","doi":"https://doi.org/10.1109/embc.2018.8512262","title":"Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals","display_name":"Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2899428876","doi":"https://doi.org/10.1109/embc.2018.8512262","mag":"2899428876","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440370"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5008058142","display_name":"Niraj Goel","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niraj Goel","raw_affiliation_strings":["Texas A&M University College Station, College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station, College Station, TX, US","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029799530","display_name":"Theodora Chaspari","orcid":"https://orcid.org/0000-0002-7603-8633"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodora Chaspari","raw_affiliation_strings":["Texas A&M University College Station, College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station, College Station, TX, US","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040096171","display_name":"Bobak J. Mortazavi","orcid":"https://orcid.org/0000-0002-2655-2095"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bobak J. Mortazavi","raw_affiliation_strings":["Texas A&M University College Station, College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station, College Station, TX, US","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009504441","display_name":"Temiloluwa Prioleau","orcid":"https://orcid.org/0000-0001-6750-202X"},"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":"Temiloluwa Prioleau","raw_affiliation_strings":["Rice University, Houston, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, US","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072109473","display_name":"Ashutosh Sabharwal","orcid":"https://orcid.org/0000-0003-1898-5787"},"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":"Ashutosh Sabharwal","raw_affiliation_strings":["Rice University, Houston, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, US","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062423099","display_name":"Ricardo Guti\u00e9rrez\u2010Osuna","orcid":"https://orcid.org/0000-0003-2817-2085"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ricardo Gutierrez-Osuna","raw_affiliation_strings":["Texas A&M University College Station, College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station, College Station, TX, US","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20320716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"191","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9908999800682068,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9876000285148621,"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/matching-pursuit","display_name":"Matching pursuit","score":0.9194573760032654},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7505779266357422},{"id":"https://openalex.org/keywords/continuous-glucose-monitoring","display_name":"Continuous glucose monitoring","score":0.6658480167388916},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5731626152992249},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5673898458480835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5432184934616089},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5407514572143555},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5395466685295105},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5325238704681396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5315634608268738},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4570094048976898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4458169937133789},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4224678874015808},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4132486581802368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39290744066238403},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.34490227699279785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3309575915336609},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.32401877641677856},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16419541835784912},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15541240572929382},{"id":"https://openalex.org/keywords/type-1-diabetes","display_name":"Type 1 diabetes","score":0.11302703619003296},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08211326599121094}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9194573760032654},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7505779266357422},{"id":"https://openalex.org/C2986379492","wikidata":"https://www.wikidata.org/wiki/Q1638492","display_name":"Continuous glucose monitoring","level":4,"score":0.6658480167388916},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5731626152992249},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5673898458480835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5432184934616089},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5407514572143555},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5395466685295105},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5325238704681396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5315634608268738},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4570094048976898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4458169937133789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4224678874015808},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4132486581802368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39290744066238403},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.34490227699279785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3309575915336609},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.32401877641677856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16419541835784912},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15541240572929382},{"id":"https://openalex.org/C2781232474","wikidata":"https://www.wikidata.org/wiki/Q124407","display_name":"Type 1 diabetes","level":3,"score":0.11302703619003296},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08211326599121094},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8512262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30440370","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440370","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1239497932","https://openalex.org/W1590816314","https://openalex.org/W1757921042","https://openalex.org/W1972871522","https://openalex.org/W1993579114","https://openalex.org/W2019652008","https://openalex.org/W2031534975","https://openalex.org/W2041172791","https://openalex.org/W2046262211","https://openalex.org/W2096493178","https://openalex.org/W2124355883","https://openalex.org/W2127372143","https://openalex.org/W2128044793","https://openalex.org/W2128659236","https://openalex.org/W2169083628","https://openalex.org/W2499889115","https://openalex.org/W2519293149","https://openalex.org/W2569283527","https://openalex.org/W2617104111"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2382972663","https://openalex.org/W2388133936","https://openalex.org/W2465351041","https://openalex.org/W1555738523","https://openalex.org/W2103001330","https://openalex.org/W2946877649","https://openalex.org/W2340242818","https://openalex.org/W4200575023","https://openalex.org/W2012574959"],"abstract_inverted_index":{"Continuous":[0],"glucose":[1,147],"monitoring":[2],"(CGM)":[3],"of":[4,12,19,29,49,65,69,82,142],"patients":[5,118],"with":[6,43,107,120],"diabetes":[7],"allows":[8],"the":[9,13,17,27,37,79,83,91,99,128,138,143],"effective":[10],"management":[11],"disease":[14],"and":[15,40,47],"reduces":[16],"risk":[18],"hypoglycemic":[20,149],"or":[21],"hyperglycemic":[22],"episodes.":[23],"Towards":[24],"this":[25],"goal,":[26],"development":[28],"reliable":[30],"CGM":[31,59,84,144],"models":[32],"is":[33,88],"essential":[34],"for":[35],"representing":[36],"corresponding":[38],"signals":[39],"interpreting":[41],"them":[42],"respect":[44],"to":[45,57,77,137],"factors":[46],"outcomes":[48],"interest.":[50],"We":[51],"propose":[52],"a":[53,62,66,112],"sparse":[54],"decomposition":[55,87],"model":[56,101],"approximate":[58],"time-series":[60],"as":[61],"linear":[63],"combination":[64],"small":[67],"set":[68],"exemplar":[70],"atoms,":[71],"appropriately":[72],"designed":[73],"through":[74,90],"parametric":[75],"functions":[76],"capture":[78],"main":[80],"fluctuations":[81],"signal.":[85],"Sparse":[86],"performed":[89],"orthogonal":[92],"matching":[93],"pursuit":[94],"(OMP).":[95],"Results":[96],"indicate":[97],"that":[98],"proposed":[100],"provides":[102],"0.1":[103],"relative":[104],"reconstruction":[105],"error":[106],"0.8":[108],"compression":[109],"rate":[110],"on":[111],"publicly":[113],"available":[114],"dataset":[115],"containing":[116],"25":[117],"diagnosed":[119],"Type":[121],"1":[122],"diabetes.":[123],"The":[124],"atoms":[125],"selected":[126],"from":[127],"OMP":[129],"procedure":[130],"can":[131],"be":[132],"further":[133],"interpreted":[134],"in":[135],"relation":[136],"clinically":[139],"meaningful":[140],"components":[141],"signal":[145],"(e.g.":[146],"spikes,":[148],"episodes,":[150],"etc.":[151]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}