{"id":"https://openalex.org/W3018706236","doi":"https://doi.org/10.1109/tbme.2020.2990071","title":"A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System","display_name":"A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3018706236","doi":"https://doi.org/10.1109/tbme.2020.2990071","mag":"3018706236","pmid":"https://pubmed.ncbi.nlm.nih.gov/32340930"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2020.2990071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2020.2990071","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-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/A5041015853","display_name":"Sayemul Islam","orcid":"https://orcid.org/0000-0001-6062-1974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Islam","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Temple University"],"raw_orcid":"https://orcid.org/0000-0001-6062-1974","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Temple University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027377907","display_name":"VISHRUT SHAH","orcid":"https://orcid.org/0000-0001-5193-0206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Shah","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Temple University"],"raw_orcid":"https://orcid.org/0000-0001-5193-0206","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Temple University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091828058","display_name":"Sai Teja Reddy Gidde","orcid":"https://orcid.org/0000-0003-3153-3902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S.T.R. Gidde","raw_affiliation_strings":["Department of Mechanical Engineering at Temple University"],"raw_orcid":"https://orcid.org/0000-0003-3153-3902","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering at Temple University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071236120","display_name":"Parsaoran Hutapea","orcid":"https://orcid.org/0000-0001-6917-1252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Hutapea","raw_affiliation_strings":["Department of Mechanical Engineering at Temple University"],"raw_orcid":"https://orcid.org/0000-0001-6917-1252","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering at Temple University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088743759","display_name":"Seung Hyun Song","orcid":"https://orcid.org/0000-0002-6181-4660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. H. Song","raw_affiliation_strings":["Department of Electronics Engineering at Sookmyung Women's University"],"raw_orcid":"https://orcid.org/0000-0002-6181-4660","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering at Sookmyung Women's University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004343613","display_name":"J. Picone","orcid":"https://orcid.org/0000-0001-6836-7886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Picone","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Temple University"],"raw_orcid":"https://orcid.org/0000-0001-6836-7886","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Temple University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081934282","display_name":"Albert Kim","orcid":"https://orcid.org/0000-0003-1539-1246"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering at Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1539-1246","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering at Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5915,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68478223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"67","issue":"12","first_page":"3521","last_page":"3530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10416","display_name":"Traumatic Brain Injury Research","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10416","display_name":"Traumatic Brain Injury Research","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11487","display_name":"Automotive and Human Injury Biomechanics","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848136782646179},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.6343367099761963},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5262079834938049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5006251335144043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4878883361816406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4803094267845154},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4481564462184906},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.41934001445770264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3838517367839813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36107760667800903},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.34579381346702576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3011041283607483},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14690202474594116}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848136782646179},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6343367099761963},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5262079834938049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5006251335144043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4878883361816406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4803094267845154},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4481564462184906},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.41934001445770264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3838517367839813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36107760667800903},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.34579381346702576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3011041283607483},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14690202474594116},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D051381","descriptor_name":"Rats","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059346","descriptor_name":"Magnets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059346","descriptor_name":"Magnets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059346","descriptor_name":"Magnets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2020.2990071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2020.2990071","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:32340930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32340930","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312387","display_name":"Temple University","ror":"https://ror.org/00kx1jb78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1482910955","https://openalex.org/W1583079212","https://openalex.org/W1928451406","https://openalex.org/W1970473913","https://openalex.org/W1971873251","https://openalex.org/W1975938969","https://openalex.org/W1980272788","https://openalex.org/W1984373612","https://openalex.org/W1985712316","https://openalex.org/W1994727135","https://openalex.org/W1995807478","https://openalex.org/W1998292846","https://openalex.org/W2000489529","https://openalex.org/W2004950446","https://openalex.org/W2023694353","https://openalex.org/W2028253537","https://openalex.org/W2032618685","https://openalex.org/W2037900218","https://openalex.org/W2039162483","https://openalex.org/W2056141001","https://openalex.org/W2062590009","https://openalex.org/W2075262070","https://openalex.org/W2075711464","https://openalex.org/W2077582498","https://openalex.org/W2078293303","https://openalex.org/W2092899809","https://openalex.org/W2094728031","https://openalex.org/W2101234009","https://openalex.org/W2121893022","https://openalex.org/W2128907102","https://openalex.org/W2145691535","https://openalex.org/W2156044730","https://openalex.org/W2217491342","https://openalex.org/W2242464395","https://openalex.org/W2264904503","https://openalex.org/W2294418644","https://openalex.org/W2332271625","https://openalex.org/W2488339866","https://openalex.org/W2492591945","https://openalex.org/W2595085771","https://openalex.org/W2612451290","https://openalex.org/W2736507014","https://openalex.org/W2780988358","https://openalex.org/W2787454112","https://openalex.org/W2796152998","https://openalex.org/W2800701562","https://openalex.org/W2885013695","https://openalex.org/W2885144522","https://openalex.org/W2889312301","https://openalex.org/W2910264261","https://openalex.org/W2911964244","https://openalex.org/W2921827865","https://openalex.org/W2982377219","https://openalex.org/W2984648219","https://openalex.org/W2989854092","https://openalex.org/W3025256146","https://openalex.org/W3034750614","https://openalex.org/W3150224073","https://openalex.org/W4243997710","https://openalex.org/W6640640916","https://openalex.org/W6675354045","https://openalex.org/W6813009337"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"A":[0],"leading":[1],"cause":[2],"of":[3,43,51,66,96],"traumatic":[4],"brain":[5,10,45,82,189,256],"injury":[6],"(TBI)":[7],"is":[8,18],"intracranial":[9,44],"deformation":[11,17,83,154,190],"due":[12],"to":[13,143],"mechanical":[14],"impact.":[15],"This":[16],"viscoelastic":[19],"and":[20,56,117,138,145,168,215],"differs":[21],"from":[22],"a":[23,32,63,119],"traditional":[24],"rigid":[25],"transformation.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"describe":[31],"machine":[33,103,158,242],"learning":[34,78,104,159,243],"enabled":[35,244],"wireless":[36],"sensing":[37,48,64],"system":[38,49,246],"that":[39,239],"predicts":[40,80],"the":[41,81,86,92,97,165,240],"trajectory":[42],"deformation.":[46,257],"The":[47,150,186],"consists":[50],"an":[52,57,249],"implantable":[53],"soft":[54,99],"magnet":[55],"external":[58],"magnetic":[59,87],"sensor":[60,88,245],"array":[61],"with":[62,164,180,206,226],"volume":[65],"12":[67,69],"\u00d7":[68,70],"4":[71],"mm":[72],"<sup":[73],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[75],".":[76],"Machine":[77],"algorithm":[79],"by":[84,91,156,192],"interpreting":[85],"outputs":[89],"created":[90],"change":[93],"in":[94,130,139,151,187,254],"position":[95],"implanted":[98],"magnet.":[100],"Three":[101],"different":[102],"models":[105,125,160,194],"were":[106,126],"trained":[107],"on":[108],"calibration":[109],"data:":[110],"(1)":[111],"random":[112],"forests,":[113],"(2)":[114],"k-nearest":[115],"neighbors,":[116],"(3)":[118],"multi-layer":[120],"perceptron-based":[121],"neural":[122],"network.":[123],"These":[124,236],"validated":[127],"using":[128],"both":[129],"vitro":[131,152],"(a":[132],"needle":[133],"inserted":[134],"into":[135],"PVC":[136],"gel)":[137],"vivo":[140,188],"(blast":[141],"exposure":[142],"live":[144,233],"dead":[146,213],"rat":[147],"brains)":[148],"experiments.":[149],"gel":[153],"predicted":[155,191],"these":[157,193],"showed":[161],"excellent":[162],"agreement":[163],"camera":[166],"measurements":[167],"had":[169,195],"absolute":[170,196,216],"error":[171,197,217],"=":[172,177,184,198,203,210,218,223,230],"138":[173],"\u03bcm,":[174,200,220],"Fr\u00e9chet":[175,201,221],"distance":[176,202,222],"372":[178],"\u03bcm":[179,205,225],"normalized":[181,207,227],"Procrustes":[182,208,228],"disparity":[183,209,229],"0.034.":[185],"50":[199],"95":[204],"0.055":[211],"for":[212,232,252],"animal":[214,234],"125":[219],"289":[224],"0.2":[231],"respectively.":[235],"results":[237],"suggest":[238],"proposed":[241],"can":[247],"be":[248],"effective":[250],"tool":[251],"measuring":[253],"situ":[255]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
