{"id":"https://openalex.org/W3040858016","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138265","title":"Clean-Breathing: a Novel Sensor Fusion Algorithm Based on ICA to Remove Motion Artifacts from Breathing Signal","display_name":"Clean-Breathing: a Novel Sensor Fusion Algorithm Based on ICA to Remove Motion Artifacts from Breathing Signal","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3040858016","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138265","mag":"3040858016"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot48571.2020.9138265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT","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/A5014677351","display_name":"Luigi Raiano","orcid":"https://orcid.org/0000-0002-3242-4057"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luigi Raiano","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039573438","display_name":"Joshua Di Tocco","orcid":"https://orcid.org/0000-0002-9841-7861"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Joshua Di Tocco","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048168670","display_name":"Carlo Massaroni","orcid":"https://orcid.org/0000-0002-3090-5623"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Massaroni","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060286851","display_name":"Giovanni Di Pino","orcid":"https://orcid.org/0000-0001-5046-5816"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Di Pino","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026033118","display_name":"Emiliano Schena","orcid":"https://orcid.org/0000-0002-9696-1265"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emiliano Schena","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, Unit of Measurements, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081207088","display_name":"Domenico Formica","orcid":"https://orcid.org/0000-0003-0240-1265"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Formica","raw_affiliation_strings":["Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Campus Bio-Medico di Roma, NeXT Lab, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014677351"],"corresponding_institution_ids":["https://openalex.org/I155125353"],"apc_list":null,"apc_paid":null,"fwci":0.6693,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6613909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976000189781189,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breathing","display_name":"Breathing","score":0.606388509273529},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.605613648891449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040137410163879},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5959583520889282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5355994701385498},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49012550711631775},{"id":"https://openalex.org/keywords/piezoresistive-effect","display_name":"Piezoresistive effect","score":0.47432559728622437},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4652911424636841},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4620923399925232},{"id":"https://openalex.org/keywords/torso","display_name":"Torso","score":0.4361085891723633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4340786933898926},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41543304920196533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37670624256134033},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17919084429740906}],"concepts":[{"id":"https://openalex.org/C39300077","wikidata":"https://www.wikidata.org/wiki/Q9530","display_name":"Breathing","level":2,"score":0.606388509273529},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.605613648891449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040137410163879},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5959583520889282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5355994701385498},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49012550711631775},{"id":"https://openalex.org/C198490522","wikidata":"https://www.wikidata.org/wiki/Q1932915","display_name":"Piezoresistive effect","level":2,"score":0.47432559728622437},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4652911424636841},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4620923399925232},{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.4361085891723633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4340786933898926},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41543304920196533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37670624256134033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17919084429740906},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot48571.2020.9138265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT","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":24,"referenced_works":["https://openalex.org/W206975375","https://openalex.org/W2031938950","https://openalex.org/W2055729089","https://openalex.org/W2069179269","https://openalex.org/W2118630306","https://openalex.org/W2122923962","https://openalex.org/W2123350533","https://openalex.org/W2123649031","https://openalex.org/W2136489697","https://openalex.org/W2154215889","https://openalex.org/W2625378349","https://openalex.org/W2751874971","https://openalex.org/W2774419417","https://openalex.org/W2889198312","https://openalex.org/W2908492678","https://openalex.org/W2917388343","https://openalex.org/W2942244239","https://openalex.org/W2944928173","https://openalex.org/W2948175183","https://openalex.org/W2967524150","https://openalex.org/W2982688549","https://openalex.org/W6608496071","https://openalex.org/W6739621464","https://openalex.org/W6769255955"],"related_works":["https://openalex.org/W4381953457","https://openalex.org/W2037557144","https://openalex.org/W2285739514","https://openalex.org/W2579089916","https://openalex.org/W2058088690","https://openalex.org/W2052143774","https://openalex.org/W2158185825","https://openalex.org/W4308297792","https://openalex.org/W2086597735","https://openalex.org/W2907711023"],"abstract_inverted_index":{"Although":[0,209],"smart-textile":[1],"solutions":[2],"based":[3],"on":[4,214],"piezoresistive":[5,53],"technology":[6],"have":[7],"emerged":[8],"as":[9],"a":[10,44,113,124,147,193,195,205,207,267],"tool":[11],"to":[12,25,38,58,64,89,103,129,180,222,253],"assess":[13,130],"unobtrusively":[14],"breathing":[15,66,106,182],"activity,":[16,67],"their":[17],"signals":[18,96],"are":[19],"affected":[20],"by":[21,51,73,79,98],"the":[22,26,48,65,69,95,99,105,135,143,159,163,181,189,202,210,218,227,231,235,254,259],"artifacts":[23,93],"related":[24,179,187,200,252],"subjects'":[27],"movements":[28,62],"during":[29,123,192,204],"common":[30],"activities":[31],"(e.g.":[32],"walking":[33],"or":[34],"running).":[35],"In":[36,127],"order":[37,128],"remove":[39],"such":[40,266],"artifacts,":[41],"we":[42,118,133,157],"implemented":[43],"novel":[45],"algorithm":[46,87,111,141],"combining":[47],"information":[49],"recorded":[50,72,97],"four":[52],"textile":[54],"sensors,":[55,101],"which":[56,117],"allowed":[57,88],"measure":[59],"rib":[60],"cage":[61],"due":[63],"with":[68,142,188,201],"data":[70],"synchronously":[71],"an":[74,81],"inertial":[75],"measurement":[76],"unit.":[77],"Specifically,":[78,257],"using":[80],"Independent":[82],"Component":[83],"Analysis":[84],"(ICA),":[85],"our":[86,110,131,140],"blindly":[90],"reduce":[91],"movement":[92],"from":[94],"piezo":[100],"leading":[102],"highlight":[104],"activity.":[107,256],"We":[108],"tested":[109],"in":[112,116],"pilot":[114],"study,":[115],"enrolled":[119],"one":[120,144,215],"healthy":[121],"subject":[122],"free-running":[125],"task.":[126,208],"approach,":[132],"compared":[134,158],"signal":[136],"spectrum":[137],"obtained":[138,220],"applying":[139],"computed":[145,168],"after":[146,169],"standard":[148],"band-pass":[149],"filter":[150],"at":[151],"0.05-3":[152],"Hz.":[153],"To":[154],"this":[155],"aim,":[156],"average":[160,232],"amplitude":[161],"of":[162,234],"Power":[164,236],"Spectral":[165,237],"Densities":[166],"(PSDs),":[167],"both":[170],"approaches,":[171],"along":[172],"three":[173],"frequency":[174,250],"ranges:":[175],"i)":[176],"[0\u20131]":[177,229],"Hz,":[178,186,199,230],"activity;":[183],"ii)":[184],"[1-2]":[185,261],"torso":[190],"rotation,":[191],"running":[194,206],"task;":[196],"iii)":[197],"[2-3]":[198,264],"pace,":[203],"study":[211],"was":[212],"performed":[213],"single":[216],"subject,":[217],"results":[219],"seem":[221],"be":[223],"promising.":[224],"Indeed,":[225],"within":[226,249],"range":[228,251],"reduction":[233,268],"Density":[238],"(PSD)":[239],"is":[240,246,269],"only":[241],"about":[242],"4%,":[243],"while":[244],"it":[245],"considerably":[247],"higher":[248],"walking/running":[255],"considering":[258],"ranges":[260],"Hz":[262,265],"and":[263,272],"around":[270],"39%":[271],"36%":[273],"respectively.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}