{"id":"https://openalex.org/W4401072425","doi":"https://doi.org/10.1109/memea60663.2024.10596840","title":"Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning","display_name":"Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4401072425","doi":"https://doi.org/10.1109/memea60663.2024.10596840"},"language":"en","primary_location":{"id":"doi:10.1109/memea60663.2024.10596840","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/memea60663.2024.10596840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.tue.nl/ws/files/339697185/Measurement_of_Sweat_Gland_Activity_by_Sweat_Sensing_and_Deep_Learning_1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039521927","display_name":"Jelte R. Haakma","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jelte Haakma","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,the Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106205079","display_name":"Esmee Esselaar","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Esmee Esselaar","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,the Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028019759","display_name":"Elisabetta Peri","orcid":"https://orcid.org/0000-0002-1231-9372"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Elisabetta Peri","raw_affiliation_strings":["Electrical Engineering,Eindhoven,the Netherlands"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003896730","display_name":"Simona Turco","orcid":"https://orcid.org/0000-0002-1520-3930"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Simona Turco","raw_affiliation_strings":["Electrical Engineering,Eindhoven,the Netherlands"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050399847","display_name":"Massimo Mischi","orcid":"https://orcid.org/0000-0002-1179-5385"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Massimo Mischi","raw_affiliation_strings":["Electrical Engineering,Eindhoven,the Netherlands"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering,Eindhoven,the Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039521927"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.1908,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46750631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9958000183105469,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9657999873161316,"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/sweat","display_name":"SWEAT","score":0.9064517617225647},{"id":"https://openalex.org/keywords/sweat-gland","display_name":"Sweat gland","score":0.8326250910758972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.526518702507019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3315083086490631},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16284221410751343},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08593034744262695}],"concepts":[{"id":"https://openalex.org/C63398376","wikidata":"https://www.wikidata.org/wiki/Q7395168","display_name":"SWEAT","level":2,"score":0.9064517617225647},{"id":"https://openalex.org/C2778040839","wikidata":"https://www.wikidata.org/wiki/Q243784","display_name":"Sweat gland","level":3,"score":0.8326250910758972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.526518702507019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3315083086490631},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16284221410751343},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08593034744262695}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/memea60663.2024.10596840","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/memea60663.2024.10596840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire/59044fc6-a423-48e1-b9c3-616208ebb249","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/59044fc6-a423-48e1-b9c3-616208ebb249","pdf_url":"https://pure.tue.nl/ws/files/339697185/Measurement_of_Sweat_Gland_Activity_by_Sweat_Sensing_and_Deep_Learning_1.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Haakma, J, Esselaar, E, Peri, E, Turco, S & Mischi, M 2024, Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning. in 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024., 10596840, Institute of Electrical and Electronics Engineers, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024, Eindhoven, Netherlands, 26/06/24. https://doi.org/10.1109/MeMeA60663.2024.10596840","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/59044fc6-a423-48e1-b9c3-616208ebb249","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/59044fc6-a423-48e1-b9c3-616208ebb249","pdf_url":"https://pure.tue.nl/ws/files/339697185/Measurement_of_Sweat_Gland_Activity_by_Sweat_Sensing_and_Deep_Learning_1.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Haakma, J, Esselaar, E, Peri, E, Turco, S & Mischi, M 2024, Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning. in 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024., 10596840, Institute of Electrical and Electronics Engineers, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024, Eindhoven, Netherlands, 26/06/24. https://doi.org/10.1109/MeMeA60663.2024.10596840","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401072425.pdf","grobid_xml":"https://content.openalex.org/works/W4401072425.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2004905658","https://openalex.org/W2072376880","https://openalex.org/W2119527242","https://openalex.org/W2179538146","https://openalex.org/W2194775991","https://openalex.org/W2735557231","https://openalex.org/W2952611328","https://openalex.org/W3010240226","https://openalex.org/W3092411750","https://openalex.org/W3119094744","https://openalex.org/W4289655797","https://openalex.org/W4309990385"],"related_works":["https://openalex.org/W1983920672","https://openalex.org/W1533505969","https://openalex.org/W1581205581","https://openalex.org/W3016271487","https://openalex.org/W2099021002","https://openalex.org/W2140232637","https://openalex.org/W1996112767","https://openalex.org/W2119527242","https://openalex.org/W1967863708","https://openalex.org/W2105688948"],"abstract_inverted_index":{"Semi-continuous":[0],"monitoring":[1],"of":[2,34,47,53,57,66,91,119,143,155,159,176,184,193,208],"general":[3],"ward":[4],"patients":[5],"is":[6,13,50,74,76,200],"expected":[7],"to":[8,25,31,78,86,115,133,167,204],"reduce":[9],"hospital":[10],"mortality.":[11],"Sweat":[12],"a":[14,35,104,121,130,173,190,201,209],"biomarker-rich":[15],"biofluid":[16],"with":[17,152,189],"potential":[18],"for":[19],"non-invasive,":[20],"semi-continuous":[21],"patient":[22,36],"monitoring.":[23],"Efforts":[24],"correlate":[26],"the":[27,32,51,58,64,72,89,98,135,141,149,153,157,169,206],"biomarkers":[28,49,92],"in":[29,94],"sweat":[30,48,59,68,73,99,102,136,145,170],"condition":[33],"have":[37],"yielded":[38],"only":[39,43],"limited":[40],"results.":[41],"The":[42,182],"clinically":[44],"approved":[45],"use":[46],"diagnosis":[52],"cystic":[54],"fibrosis.":[55],"Knowledge":[56],"rate":[60,100,137,171],"per":[61,101,138],"gland":[62,103],"and":[63,80,140],"number":[65,142,183],"active":[67,144],"glands":[69,185],"from":[70],"which":[71],"sampled":[75],"difficult":[77],"obtain":[79],"yet":[81],"plays":[82],"an":[83],"important":[84],"role":[85],"accurately":[87],"estimate":[88,97,134,168],"concentration":[90],"found":[93],"sweat.":[95],"To":[96],"discrete":[105,122,210],"sweat-sensing":[106,123,211],"device":[107],"can":[108],"be":[109,187],"used.":[110],"A":[111],"model":[112],"was":[113],"created":[114],"generate":[116],"synthetic":[117],"signals":[118,207],"such":[120],"device.":[124,212],"In":[125],"this":[126,160],"work,":[127],"we":[128],"adopt":[129],"deep-learning":[131],"strategy":[132],"gland,":[139],"glands,":[146],"based":[147],"on":[148],"simulated":[150],"signals,":[151],"aim":[154],"demonstrating":[156],"feasibility":[158],"approach.":[161],"Our":[162],"approach":[163],"demonstrated":[164],"its":[165],"capability":[166],"within":[172],"10%":[174],"margin":[175],"error":[177],"across":[178],"all":[179],"tested":[180],"datasets.":[181],"could":[186],"estimated":[188],"minimum":[191],"accuracy":[192],"70%.":[194],"This":[195],"shows":[196],"that":[197],"deep":[198],"learning":[199],"promising":[202],"method":[203],"interpret":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}