Dataset from spirometer and sEMG wireless sensor for diaphragmatic respiratory activity monitoring
We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the...
Saved in:
Published in | Data in brief Vol. 25; p. 104217 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier Inc
01.08.2019
Elsevier |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the Department of Industrial Enginering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy. This article describes data recorded from 8 subjects, and includes 8 air flow and 8 surface electromyographic (sEMG) signals for diaphragmatic respiratory activity monitoring, measured with a sampling frequency of 2 kHz. |
---|---|
AbstractList | We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the Department of Industrial Enginering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy. This article describes data recorded from 8 subjects, and includes 8 air flow and 8 surface electromyographic (sEMG) signals for diaphragmatic respiratory activity monitoring, measured with a sampling frequency of 2 kHz. Keywords: Diaphragm surface electromyographic signal, Spirometer signal, sEMG wireless sensor, Respiratory activity monitoring We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow. The data presented had been originally collected for a research project jointly developed by the Department of Information Engineering and the Department of Industrial Enginering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy. This article describes data recorded from 8 subjects, and includes 8 air flow and 8 surface electromyographic (sEMG) signals for diaphragmatic respiratory activity monitoring, measured with a sampling frequency of 2 kHz. |
ArticleNumber | 104217 |
Author | Falaschetti, Laura Biagetti, Giorgio Turchetti, Claudio Scalise, Lorenzo Scacchia, Valentina Carnielli, Virgilio Paolo Crippa, Paolo |
AuthorAffiliation | a Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy c Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy b Maternal and Child Health Institute, Polytechnic University of Marche and Salesi Hospital, Ancona, Italy |
AuthorAffiliation_xml | – name: b Maternal and Child Health Institute, Polytechnic University of Marche and Salesi Hospital, Ancona, Italy – name: a Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy – name: c Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy |
Author_xml | – sequence: 1 givenname: Giorgio orcidid: 0000-0002-6601-0039 surname: Biagetti fullname: Biagetti, Giorgio organization: Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy – sequence: 2 givenname: Virgilio Paolo surname: Carnielli fullname: Carnielli, Virgilio Paolo organization: Maternal and Child Health Institute, Polytechnic University of Marche and Salesi Hospital, Ancona, Italy – sequence: 3 givenname: Paolo orcidid: 0000-0003-4504-7550 surname: Crippa fullname: Crippa, Paolo organization: Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy – sequence: 4 givenname: Laura orcidid: 0000-0003-3183-7682 surname: Falaschetti fullname: Falaschetti, Laura email: l.falaschetti@univpm.it organization: Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy – sequence: 5 givenname: Valentina surname: Scacchia fullname: Scacchia, Valentina organization: Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy – sequence: 6 givenname: Lorenzo surname: Scalise fullname: Scalise, Lorenzo organization: Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, Ancona, Italy – sequence: 7 givenname: Claudio surname: Turchetti fullname: Turchetti, Claudio organization: Department of Information Engineering, Polytechnic University of Marche, Ancona, Italy |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31440545$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kU9vEzEQxS1UREvpB-CCfOSS4PGf9a6QkFAppVIRFzhbXns2dbS7DraTKt8eh5SqvXCwxn5-8_PI7zU5meOMhLwFtgQGzYf10od-yRl09Sw56BfkjAvFF0Ky7uTJ_pRc5LxmjIGSVVSvyKkAKZmS6oz0X2yxGQsdUpxo3oRasGCidvY0X32_pvch4Yg504xzjokOdflgN3fJriZbgqMJD322xLSn1pWwC2VPpziHqoR59Ya8HOyY8eKhnpNfX69-Xn5b3P64vrn8fLtwCnRZ-LaTvGFOKYltA8MAGji3TcsRQAknW2Y5KNb10Ajoeic491VqpPScKyvOyc2R66Ndm00Kk017E20wf4WYVsamOu-IRgiPHBB8o3vZet46EApRs95xLR2vrE9H1mbbT-gdziXZ8Rn0-c0c7swq7kzTdK3WugLePwBS_L3FXMwUssNxtDPGbTZciOpstBLVCkerSzHnhMPjM8DMIWqzNjVqc4jaHKOuPe-ezvfY8S_Yavh4NGD98V3AZLILODv0NU5X6peE_-D_AO4Qu4c |
CitedBy_id | crossref_primary_10_1007_s42979_023_02351_6 crossref_primary_10_1080_03772063_2023_2176368 crossref_primary_10_1016_j_compbiomed_2022_105338 |
Cites_doi | 10.1016/j.resp.2006.06.002 10.1109/TCE.2016.7613192 10.3390/s8042174 10.1016/j.jelekin.2019.01.002 10.1152/japplphysiol.00914.2003 |
ContentType | Journal Article |
Copyright | 2019 The Author(s) 2019 The Author(s) 2019 |
Copyright_xml | – notice: 2019 The Author(s) – notice: 2019 The Author(s) 2019 |
DBID | 6I. AAFTH NPM AAYXX CITATION 7X8 5PM DOA |
DOI | 10.1016/j.dib.2019.104217 |
DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access PubMed CrossRef MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | PubMed CrossRef MEDLINE - Academic |
DatabaseTitleList | PubMed |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Sciences (General) Engineering |
EISSN | 2352-3409 |
EndPage | 104217 |
ExternalDocumentID | oai_doaj_org_article_33de21e1d67b48d28c135ee70bc274c2 10_1016_j_dib_2019_104217 31440545 S2352340919305712 |
Genre | Journal Article |
GroupedDBID | 0R~ 0SF 4.4 457 53G 5VS 6I. AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE ADRAZ AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ AOIJS BAWUL BCNDV DIK EBS EJD FDB GROUPED_DOAJ HYE IPNFZ KQ8 M41 M48 M~E NCXOZ O9- OK1 RIG ROL RPM SSZ AKRWK NPM AAYXX ADVLN CITATION 7X8 5PM |
ID | FETCH-LOGICAL-c517t-d894260c554e861ff17122a682e1153c480a21509b16319bc322d0a2644d225a3 |
IEDL.DBID | RPM |
ISSN | 2352-3409 |
IngestDate | Thu Jul 04 21:07:35 EDT 2024 Tue Sep 17 21:12:38 EDT 2024 Wed Jul 17 03:52:38 EDT 2024 Fri Aug 23 03:53:49 EDT 2024 Thu May 23 23:49:11 EDT 2024 Tue Jul 25 21:10:24 EDT 2023 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Respiratory activity monitoring Diaphragm surface electromyographic signal Spirometer signal sEMG wireless sensor |
Language | English |
License | This is an open access article under the CC BY license. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c517t-d894260c554e861ff17122a682e1153c480a21509b16319bc322d0a2644d225a3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0003-4504-7550 0000-0002-6601-0039 0000-0003-3183-7682 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698777/ |
PMID | 31440545 |
PQID | 2336986753 |
PQPubID | 23479 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_33de21e1d67b48d28c135ee70bc274c2 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6698777 proquest_miscellaneous_2336986753 crossref_primary_10_1016_j_dib_2019_104217 pubmed_primary_31440545 elsevier_sciencedirect_doi_10_1016_j_dib_2019_104217 |
PublicationCentury | 2000 |
PublicationDate | 2019-08-01 |
PublicationDateYYYYMMDD | 2019-08-01 |
PublicationDate_xml | – month: 08 year: 2019 text: 2019-08-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Netherlands |
PublicationPlace_xml | – name: Netherlands |
PublicationTitle | Data in brief |
PublicationTitleAlternate | Data Brief |
PublicationYear | 2019 |
Publisher | Elsevier Inc Elsevier |
Publisher_xml | – name: Elsevier Inc – name: Elsevier |
References | Duiverman, van Eykern, Vennik, Koeter, Maarsingh, Wijkstra (bib2) 2004; 96 Biagetti, Crippa, Falaschetti, Orcioni, Turchetti (bib6) Aug. 2016; 62 Chien, Wu, Chang (bib3) 2008; 8 Hawkes, Nowicky, McConnell (bib1) 2007; 155 Dos Reis, Ohara, Januario, Basso-Vanelli, Oliveira, Jamami (bib5) 2019; 44 Kusche, Ryschka (bib4) 2019 Duiverman (10.1016/j.dib.2019.104217_bib2) 2004; 96 Chien (10.1016/j.dib.2019.104217_bib3) 2008; 8 Biagetti (10.1016/j.dib.2019.104217_bib6) 2016; 62 Hawkes (10.1016/j.dib.2019.104217_bib1) 2007; 155 Kusche (10.1016/j.dib.2019.104217_bib4) 2019 Dos Reis (10.1016/j.dib.2019.104217_bib5) 2019; 44 |
References_xml | – volume: 44 start-page: 139 year: 2019 end-page: 155 ident: bib5 article-title: Surface electromyography in inspiratory muscles in adults and elderly individuals: a systematic review publication-title: J. Electromyogr. Kinesiol. contributor: fullname: Jamami – start-page: 847 year: 2019 end-page: 850 ident: bib4 article-title: Respiration Monitoring by Combining EMG and Bioimpedance measurements. World Congress on Medical Physics and Biomedical Engineering 2018 contributor: fullname: Ryschka – volume: 62 start-page: 258 year: Aug. 2016 end-page: 266 ident: bib6 article-title: Wireless surface electromyograph and electrocardiograph system on 802.15.4 publication-title: IEEE Trans. Consum. Electron. contributor: fullname: Turchetti – volume: 8 start-page: 2174 year: 2008 end-page: 2187 ident: bib3 article-title: Assessment of diaphragm and external intercostals fatigue from surface EMG using cervical magnetic stimulation publication-title: Sensors contributor: fullname: Chang – volume: 96 start-page: 1723 year: 2004 end-page: 1729 ident: bib2 article-title: Reproducibility and responsiveness of a noninvasive EMG technique of the respiratory muscles in COPD patients and in healthy subjects publication-title: J. Appl. Physiol. contributor: fullname: Wijkstra – volume: 155 start-page: 213 year: 2007 end-page: 219 ident: bib1 article-title: Diaphragm and intercostal surface EMG and muscle performance after acute inspiratory muscle loading publication-title: Respir. Physiol. Neurobiol. contributor: fullname: McConnell – volume: 155 start-page: 213 issue: 3 year: 2007 ident: 10.1016/j.dib.2019.104217_bib1 article-title: Diaphragm and intercostal surface EMG and muscle performance after acute inspiratory muscle loading publication-title: Respir. Physiol. Neurobiol. doi: 10.1016/j.resp.2006.06.002 contributor: fullname: Hawkes – volume: 62 start-page: 258 issue: 3 year: 2016 ident: 10.1016/j.dib.2019.104217_bib6 article-title: Wireless surface electromyograph and electrocardiograph system on 802.15.4 publication-title: IEEE Trans. Consum. Electron. doi: 10.1109/TCE.2016.7613192 contributor: fullname: Biagetti – volume: 8 start-page: 2174 issue: 4 year: 2008 ident: 10.1016/j.dib.2019.104217_bib3 article-title: Assessment of diaphragm and external intercostals fatigue from surface EMG using cervical magnetic stimulation publication-title: Sensors doi: 10.3390/s8042174 contributor: fullname: Chien – start-page: 847 year: 2019 ident: 10.1016/j.dib.2019.104217_bib4 contributor: fullname: Kusche – volume: 44 start-page: 139 year: 2019 ident: 10.1016/j.dib.2019.104217_bib5 article-title: Surface electromyography in inspiratory muscles in adults and elderly individuals: a systematic review publication-title: J. Electromyogr. Kinesiol. doi: 10.1016/j.jelekin.2019.01.002 contributor: fullname: Dos Reis – volume: 96 start-page: 1723 issue: 5 year: 2004 ident: 10.1016/j.dib.2019.104217_bib2 article-title: Reproducibility and responsiveness of a noninvasive EMG technique of the respiratory muscles in COPD patients and in healthy subjects publication-title: J. Appl. Physiol. doi: 10.1152/japplphysiol.00914.2003 contributor: fullname: Duiverman |
SSID | ssj0001542355 |
Score | 2.160658 |
Snippet | We introduce a dataset to provide insights into the relationship between the diaphragm surface electromyographic (sEMG) signal and the respiratory air flow.... |
SourceID | doaj pubmedcentral proquest crossref pubmed elsevier |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Publisher |
StartPage | 104217 |
SubjectTerms | Diaphragm surface electromyographic signal Engineering Respiratory activity monitoring sEMG wireless sensor Spirometer signal |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fb9MwELamPe1lYoxB2UBG4mEgRcR2mjiPMDYmpO2JSXuz_KtQxNKpzf5_vrOTrR0SvCBVqpRWac535_uud_6OsbeIMC2xrhcUfYuqVWWhie4O0d63WtkZXtRtcVmfX1Vfr6fXa6O-qCcs0wPnhfugVIhSRBHqxlU6SO2FmsbYlM4jofJ59xXTtWQqnw8GTEgjT_EmC4UsZixppuauMHfU1tVSiVOmYWUPQSlx92_Epj-x5-MWyrWYdPaE7Q5gkn_MQuyxrdg9ZXuDu6748cAp_W6fuc-2R7zqOR0n4VRdX9xQIwy3XeCr04svnDiLf2Hb4ysktoslB5jlsB3o2n5PtK58-VCV53QcgqZO8Ju0J9Cfg8_Y1dnpt5PzYhivUPipaPoi6Jbo6T0ARdS1mM1EI6S0tZYRC6p8pUsLQFC2DphNtM7D9wMuAUEF7AJWHbDtbtHFF4w764NTFt4sPfIZrePMA8roVKetSjVh78f1NbeZRcOM7WU_DZRhSBkmK2PCPpEG7r9IBNjpAszCDGZh_mUWE1aN-jMDlsgYAbea_-2334y6NvAzKp7YLi7uVkYqVbca6RWEeZ51f_-EiirkgKIT1mxYxYYIm5908x-Jy7vGTZumefk_ZD5kOyRKbk88Ytv98i6-AmTq3evkHb8BX8wQqA priority: 102 providerName: Directory of Open Access Journals – databaseName: Scholars Portal Open Access Journals dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB6VcuGCKM8tDxmJAyAFJXY2cQ4I8WipkMqJlXqzHNtbitqkJKlE_32_yaMlUHFCWmmlZOWNPTOebzLjb4hewMMUzLoesfeN0kLFkWa6O3h7V2hl1_hwtcXXbG-VfjlYHmzQ1N5qXMD22tCO-0mtmuM3v36ev4PBv72q1fII--HJCs5YAmPfoJsyVSkr_P6I9odDw8AOfR9UfMlIIbSZ8pzXjTLzVD2h_8xh_Q1I_6yr_M1R7d6h2yPCFO8HldiijVDdpa3RhlvxciSafnWPyk-2gxPrBJ8xEZxyr0-4OkbYyot2Z_-zYCLjY-yFokW0WzcCCFdAoaAA9rDnehXNVape8BkJbkUhTvqNgt8Y3qfV7s63j3vR2HMhcssk7yKvC-asd0AZQWfJep3kiZQ20zIAOyqX6tgCJcRFCSCXFKXDhuBxCbDKY2uw6gFtVnUVHpEorfOlsjBx6RDkaB3WDvhG98nbNFYLej2trzkdqDXMVHP2w0AYhoVhBmEs6ANL4PKHzIrdX6ibQzMamVHKB5mExGd5mWovtUvUMoQ8Lh2CbycXlE7yMyPAGIADhjr6138_n2RtYHycUbFVqM9aI5XKCo2YC5N5OMj-8gkVp82BTxeUz7RiNoX5neroe0_wnWHQPM-3_8ecH9MtnspQs_iENrvmLDwFjurKZ711XABE5xim priority: 102 providerName: Scholars Portal |
Title | Dataset from spirometer and sEMG wireless sensor for diaphragmatic respiratory activity monitoring |
URI | https://dx.doi.org/10.1016/j.dib.2019.104217 https://www.ncbi.nlm.nih.gov/pubmed/31440545 https://search.proquest.com/docview/2336986753 https://pubmed.ncbi.nlm.nih.gov/PMC6698777 https://doaj.org/article/33de21e1d67b48d28c135ee70bc274c2 |
Volume | 25 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1La9tAEB7ygJIeSpO2ifswW8ghLSiWtHqsjq2TNBSc5NCA6WXZl1OXWAqW8v87s5JSu4UcAkYH2bJWmtmdbzTffAI4xAhTkOp6QNE3SAoeBoLk7jDam0JwNcMPsS0usvPr5Ps0nW5A2vfCeNK-0fPj8nZxXM5_eW7l3cKMep7Y6GoyzrKCZOxGm7CZc76SoretwYgQ0rSvYHoul51rYnEVVNFEDL4DzzgVNVNqYloJR161fy0q_Y86_yVPrkSjs5fwooOR7Es73F3YcOUePF8RF9yD3W7a1uyo05b-9Ar0iWowbjWM2koYVdmrBRFimCotq08n3xhpF-MNqFmNCW61ZAhqGfoQ2lzdeHlXtvxbnWfUFkFvn2ALvzbQmV_D9dnpj_F50L1mITBplDeBFQXJ1BsEFk5k0WwW5VEcq0zEDuEiN4kIFQKDsNCI3aJCG1wDLO5CJGVxNVD8DWyVVekOgGllrOYKZ3VsMK8Rws0MQhrh67VJyAfwub_b8q5V05A9zey3RCtJspJsrTSAr2SPhx-SELbfUS1vZOcOknPr4shFNst1ImwsTMRT5_JQG8y3TTyApLem7DBFixXwr-aPnftjb3mJ842KKKp01X0tY87R-zDNwovZbz3hYYS9Uw0gX_ORtUtY_wZd3Gt6dy799slHvoMdGn_LTXwPW83y3n1AvNTooX_OgNtJIoawfTGeXv4c-jnzBwXoF2w |
link.rule.ids | 230,315,733,786,790,870,891,2115,24346,27957,27958,53827,53829 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nb9NAEB2VIkE5AC1QwucicQAkJ7bXH-sjlJYATcWhRb2tdtebkkLsKnYu_Hpm1t6SFAkJpJzsJJvJzO680bx5BniJGaYg1fWAsm-QFDwMBMndYbY3heBqii9iWxxl45Pk02l6ugGpn4VxpH2jZ8Pqx3xYzb45buXF3Iw8T2z0ZbKXZQXJ2I2uwXXcr3G-UqR3w8GIEdLU9zAdm6ucaeJxFdTTRBS-BTc4tTVTGmNaSUhOt38tL_2JO6_SJ1fy0cEd-Oot6Wgo34fLVg_Nzysij_9s6l243SNU9ra7vQ0bttqBWyu6hTuw3Z8IDXvVy1a_vgf6vWoxJbaMJlYYNfDrOXFtmKpK1uxPPjCSRcYFG9Zg7VwvGOJlhuGJ4aTOnHIsW_xu_DOauKAHW7C5O3Zo5ftwcrB_vDcO-ic4BCaN8jYoRUEK-AYxixVZNJ1GeRTHKhOxRSTKTSJChZgjLDTCwqjQBo-XEi8hSCvxoFH8AWxWdWUfAtPKlJorPDBigyWTEHZqEC0J1wpOQj6AN96N8qIT6pCewXYu0f2S3C879w_gHTn68o2kse0u1Isz2f_9kvPSxpGNyizXiShjYSKeWpuH2mApb-IBJD5MZA9XOhiCXzX729ovfEhJ3MrUn1GVrZeNjDlHb2MFh8bsdiF2-Qt9tA4gXwu-NRPW72BIObnwPoQe_fcnn8PN8fHkUB5-PPr8GLbIlo4C-QQ228XSPkVY1upnbhP-Ah_4NfI |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nb9QwEB1BkapyAFooXT6NxAGQspvE-XCO0HYpH616oFLFxbIdpyxlk9Ume-HXM-MkJVskDpX2lE3iWH72vNE8PwO8xgiTkeu6R9HXizLue4Ls7jDam0xwVeCP1BYnydFZ9Pk8Ph8c9eVE-0bPxuWv-bic_XDaysXcTHqd2OT0eD9JMrKxmyzyYnIb7uCcDbNBot5uEEaeEMd9HdMpuvKZJi1XRnVNZOJbsMmptBnTVqZBUHLe_Wux6V_ueV1COYhJ0_vwve9NK0W5HK8aPTa_rxk93qi7D-Bex1TZ-_aWbbhlyx24O_Av3IHtbmWo2ZvOvvrtQ9AHqsHQ2DDaucKokF_NSXPDVJmz-vD4IyN7ZGy0ZjXm0NWSIW9mCFOElbpwDrJs-VcAwGjnBR1wweZu-aGWH8HZ9PDb_pHXneTgmThIGy8XGTnhG-QuViRBUQRpEIYqEaFFRspNJHyF3MPPNNLDINMGl5kcLyFZy3HBUXwXNsqqtHvAtDK55goXjtBg6iSELQyyJuFKwpHPR_CuH0q5aA07ZK9k-ykRApIgIFsIjOADDfbVjeS17S5UywvZDYHkPLdhYIM8SXUk8lCYgMfWpr42mNKbcARRDxXZ0ZaWjuCrZv9r-1UPK4lTmuo0qrTVqpYh5zjimMlhZx63MLv6wh6xI0jXALjWhfV_EFbONryD0ZMbP_kSNk8PpvLrp5MvT2GLutIqIZ_BRrNc2efIzhr9ws3DP8meOHI |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Dataset+from+spirometer+and+sEMG+wireless+sensor+for+diaphragmatic+respiratory+activity+monitoring&rft.jtitle=Data+in+brief&rft.au=Giorgio+Biagetti&rft.au=Virgilio+Paolo+Carnielli&rft.au=Paolo+Crippa&rft.au=Laura+Falaschetti&rft.date=2019-08-01&rft.pub=Elsevier&rft.issn=2352-3409&rft.eissn=2352-3409&rft.volume=25&rft_id=info:doi/10.1016%2Fj.dib.2019.104217&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_33de21e1d67b48d28c135ee70bc274c2 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-3409&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-3409&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-3409&client=summon |