A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units

Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medical & biological engineering & computing 2020-04, Vol.58 (4), p.785-804
Hauptverfasser: Cesareo, Ambra, Biffi, Emilia, Cuesta-Frau, David, D’Angelo, Maria G., Aliverti, Andrea
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 804
container_issue 4
container_start_page 785
container_title Medical & biological engineering & computing
container_volume 58
creator Cesareo, Ambra
Biffi, Emilia
Cuesta-Frau, David
D’Angelo, Maria G.
Aliverti, Andrea
description Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated the feasibility of deriving f B by measuring inclination changes due to breathing using accelerometers or inertial measurement units (IMU). Nevertheless, few studies faced the problem of motion artifacts that limit the use of IMU-based systems for continuous monitoring. Moreover, few attempts have been made to move towards real portability and wearability of such devices. This paper proposes a wearable IMU-based device that communicates via Bluetooth with a smartphone, uploading data on a web server to allow remote monitoring. Two IMU units are placed on thorax and abdomen to record breathing-related movements, while a third IMU unit records body/trunk motion and is used as reference. The performance of the proposed system was evaluated in terms of long-acquisition-platform reliability showing good performances in terms of duration and data loss amount. The device was preliminarily tested in terms of accuracy in breathing temporal parameter measurement, in static condition, during postural changes, and during slight indoor activities showing favorable comparison against the reference methods (mean error breathing frequency
doi_str_mv 10.1007/s11517-020-02125-9
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2350093388</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2389523548</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-b1b5b1d8b8b7f1eec85bb3188142aea8881412299c10d97c7f1ee91aed026dfd3</originalsourceid><addsrcrecordid>eNp9kU1v3CAQhlHVqLv5-AM9REi95OKGAVPj42rVJpEi9ZKcEdjjlMiGXcCR8u-Ls2ki5dADMMDzzozmJeQrsO_AWHOZACQ0FeOsLOCyaj-RNTQ1VKyu689kzaAuXwBqRY5TemSFkrz-QlaCl7iRYk2mDfXhCUdquv3skssueLobTR5CnGjZ6Bj8Q5Wx3GxEk_84_0CHiPsZffdMp-BdDnF5tCZhT4vceYzZmZFOaNIccUKf6Vy4dEqOBjMmPHs9T8j9r5932-vq9vfVzXZzW3WikbmyYKWFXlllmwEQOyWtFaAU1NygUUsAnLdtB6xvm-4FasFgz_iPfujFCbk45N3FUBpNWU8udTiOxmOYk-ZCMtYKoVRBv31AH8McfemuUKqVBa0Xih-oLoaUIg56F91k4rMGphcz9MEMXczQL2botojOX1PPdsL-TfJv-gUQByDtlglifK_9n7R_ARwlll0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2389523548</pqid></control><display><type>article</type><title>A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units</title><source>MEDLINE</source><source>SpringerNature Journals</source><source>EBSCOhost Business Source Complete</source><creator>Cesareo, Ambra ; Biffi, Emilia ; Cuesta-Frau, David ; D’Angelo, Maria G. ; Aliverti, Andrea</creator><creatorcontrib>Cesareo, Ambra ; Biffi, Emilia ; Cuesta-Frau, David ; D’Angelo, Maria G. ; Aliverti, Andrea</creatorcontrib><description>Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated the feasibility of deriving f B by measuring inclination changes due to breathing using accelerometers or inertial measurement units (IMU). Nevertheless, few studies faced the problem of motion artifacts that limit the use of IMU-based systems for continuous monitoring. Moreover, few attempts have been made to move towards real portability and wearability of such devices. This paper proposes a wearable IMU-based device that communicates via Bluetooth with a smartphone, uploading data on a web server to allow remote monitoring. Two IMU units are placed on thorax and abdomen to record breathing-related movements, while a third IMU unit records body/trunk motion and is used as reference. The performance of the proposed system was evaluated in terms of long-acquisition-platform reliability showing good performances in terms of duration and data loss amount. The device was preliminarily tested in terms of accuracy in breathing temporal parameter measurement, in static condition, during postural changes, and during slight indoor activities showing favorable comparison against the reference methods (mean error breathing frequency &lt; 5%). Graphical abstract Proof of concept of a wearable, wireless, modular respiratory Holter based on inertial measurement units (IMUS) for the continuous breathing pattern monitoring through the detection of chest wall breathing-related movements.</description><identifier>ISSN: 0140-0118</identifier><identifier>EISSN: 1741-0444</identifier><identifier>DOI: 10.1007/s11517-020-02125-9</identifier><identifier>PMID: 32002753</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accelerometers ; Adult ; Algorithms ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Bluetooth ; Computer Applications ; Computers ; Data loss ; Equipment Design ; Exercise ; Feasibility studies ; Female ; Healthy Volunteers ; Human Physiology ; Humans ; Imaging ; Inclination ; Inertial platforms ; Internet ; Male ; Mobile Applications ; Monitoring ; Monitoring, Physiologic - instrumentation ; Monitoring, Physiologic - methods ; Original Article ; Posture ; Radiology ; Reliability analysis ; Remote monitoring ; Reproducibility of Results ; Respiration ; Servers ; Signal Processing, Computer-Assisted ; Smartphones ; Thorax ; Torso ; Wearable Electronic Devices</subject><ispartof>Medical &amp; biological engineering &amp; computing, 2020-04, Vol.58 (4), p.785-804</ispartof><rights>International Federation for Medical and Biological Engineering 2020</rights><rights>International Federation for Medical and Biological Engineering 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-b1b5b1d8b8b7f1eec85bb3188142aea8881412299c10d97c7f1ee91aed026dfd3</citedby><cites>FETCH-LOGICAL-c375t-b1b5b1d8b8b7f1eec85bb3188142aea8881412299c10d97c7f1ee91aed026dfd3</cites><orcidid>0000-0002-2568-9735</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11517-020-02125-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11517-020-02125-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32002753$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cesareo, Ambra</creatorcontrib><creatorcontrib>Biffi, Emilia</creatorcontrib><creatorcontrib>Cuesta-Frau, David</creatorcontrib><creatorcontrib>D’Angelo, Maria G.</creatorcontrib><creatorcontrib>Aliverti, Andrea</creatorcontrib><title>A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units</title><title>Medical &amp; biological engineering &amp; computing</title><addtitle>Med Biol Eng Comput</addtitle><addtitle>Med Biol Eng Comput</addtitle><description>Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated the feasibility of deriving f B by measuring inclination changes due to breathing using accelerometers or inertial measurement units (IMU). Nevertheless, few studies faced the problem of motion artifacts that limit the use of IMU-based systems for continuous monitoring. Moreover, few attempts have been made to move towards real portability and wearability of such devices. This paper proposes a wearable IMU-based device that communicates via Bluetooth with a smartphone, uploading data on a web server to allow remote monitoring. Two IMU units are placed on thorax and abdomen to record breathing-related movements, while a third IMU unit records body/trunk motion and is used as reference. The performance of the proposed system was evaluated in terms of long-acquisition-platform reliability showing good performances in terms of duration and data loss amount. The device was preliminarily tested in terms of accuracy in breathing temporal parameter measurement, in static condition, during postural changes, and during slight indoor activities showing favorable comparison against the reference methods (mean error breathing frequency &lt; 5%). Graphical abstract Proof of concept of a wearable, wireless, modular respiratory Holter based on inertial measurement units (IMUS) for the continuous breathing pattern monitoring through the detection of chest wall breathing-related movements.</description><subject>Accelerometers</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Bluetooth</subject><subject>Computer Applications</subject><subject>Computers</subject><subject>Data loss</subject><subject>Equipment Design</subject><subject>Exercise</subject><subject>Feasibility studies</subject><subject>Female</subject><subject>Healthy Volunteers</subject><subject>Human Physiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Inclination</subject><subject>Inertial platforms</subject><subject>Internet</subject><subject>Male</subject><subject>Mobile Applications</subject><subject>Monitoring</subject><subject>Monitoring, Physiologic - instrumentation</subject><subject>Monitoring, Physiologic - methods</subject><subject>Original Article</subject><subject>Posture</subject><subject>Radiology</subject><subject>Reliability analysis</subject><subject>Remote monitoring</subject><subject>Reproducibility of Results</subject><subject>Respiration</subject><subject>Servers</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Smartphones</subject><subject>Thorax</subject><subject>Torso</subject><subject>Wearable Electronic Devices</subject><issn>0140-0118</issn><issn>1741-0444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1v3CAQhlHVqLv5-AM9REi95OKGAVPj42rVJpEi9ZKcEdjjlMiGXcCR8u-Ls2ki5dADMMDzzozmJeQrsO_AWHOZACQ0FeOsLOCyaj-RNTQ1VKyu689kzaAuXwBqRY5TemSFkrz-QlaCl7iRYk2mDfXhCUdquv3skssueLobTR5CnGjZ6Bj8Q5Wx3GxEk_84_0CHiPsZffdMp-BdDnF5tCZhT4vceYzZmZFOaNIccUKf6Vy4dEqOBjMmPHs9T8j9r5932-vq9vfVzXZzW3WikbmyYKWFXlllmwEQOyWtFaAU1NygUUsAnLdtB6xvm-4FasFgz_iPfujFCbk45N3FUBpNWU8udTiOxmOYk-ZCMtYKoVRBv31AH8McfemuUKqVBa0Xih-oLoaUIg56F91k4rMGphcz9MEMXczQL2botojOX1PPdsL-TfJv-gUQByDtlglifK_9n7R_ARwlll0</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Cesareo, Ambra</creator><creator>Biffi, Emilia</creator><creator>Cuesta-Frau, David</creator><creator>D’Angelo, Maria G.</creator><creator>Aliverti, Andrea</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7SC</scope><scope>7TB</scope><scope>7TS</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2568-9735</orcidid></search><sort><creationdate>20200401</creationdate><title>A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units</title><author>Cesareo, Ambra ; Biffi, Emilia ; Cuesta-Frau, David ; D’Angelo, Maria G. ; Aliverti, Andrea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-b1b5b1d8b8b7f1eec85bb3188142aea8881412299c10d97c7f1ee91aed026dfd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accelerometers</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biomedicine</topic><topic>Bluetooth</topic><topic>Computer Applications</topic><topic>Computers</topic><topic>Data loss</topic><topic>Equipment Design</topic><topic>Exercise</topic><topic>Feasibility studies</topic><topic>Female</topic><topic>Healthy Volunteers</topic><topic>Human Physiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Inclination</topic><topic>Inertial platforms</topic><topic>Internet</topic><topic>Male</topic><topic>Mobile Applications</topic><topic>Monitoring</topic><topic>Monitoring, Physiologic - instrumentation</topic><topic>Monitoring, Physiologic - methods</topic><topic>Original Article</topic><topic>Posture</topic><topic>Radiology</topic><topic>Reliability analysis</topic><topic>Remote monitoring</topic><topic>Reproducibility of Results</topic><topic>Respiration</topic><topic>Servers</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Smartphones</topic><topic>Thorax</topic><topic>Torso</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cesareo, Ambra</creatorcontrib><creatorcontrib>Biffi, Emilia</creatorcontrib><creatorcontrib>Cuesta-Frau, David</creatorcontrib><creatorcontrib>D’Angelo, Maria G.</creatorcontrib><creatorcontrib>Aliverti, Andrea</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Medical &amp; biological engineering &amp; computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cesareo, Ambra</au><au>Biffi, Emilia</au><au>Cuesta-Frau, David</au><au>D’Angelo, Maria G.</au><au>Aliverti, Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units</atitle><jtitle>Medical &amp; biological engineering &amp; computing</jtitle><stitle>Med Biol Eng Comput</stitle><addtitle>Med Biol Eng Comput</addtitle><date>2020-04-01</date><risdate>2020</risdate><volume>58</volume><issue>4</issue><spage>785</spage><epage>804</epage><pages>785-804</pages><issn>0140-0118</issn><eissn>1741-0444</eissn><abstract>Continuous monitoring of breathing frequency (f B ) could foster early prediction of adverse clinical effects and exacerbation of medical conditions. Current solutions are invasive or obtrusive and thus not suitable for prolonged monitoring outside the clinical setting. Previous studies demonstrated the feasibility of deriving f B by measuring inclination changes due to breathing using accelerometers or inertial measurement units (IMU). Nevertheless, few studies faced the problem of motion artifacts that limit the use of IMU-based systems for continuous monitoring. Moreover, few attempts have been made to move towards real portability and wearability of such devices. This paper proposes a wearable IMU-based device that communicates via Bluetooth with a smartphone, uploading data on a web server to allow remote monitoring. Two IMU units are placed on thorax and abdomen to record breathing-related movements, while a third IMU unit records body/trunk motion and is used as reference. The performance of the proposed system was evaluated in terms of long-acquisition-platform reliability showing good performances in terms of duration and data loss amount. The device was preliminarily tested in terms of accuracy in breathing temporal parameter measurement, in static condition, during postural changes, and during slight indoor activities showing favorable comparison against the reference methods (mean error breathing frequency &lt; 5%). Graphical abstract Proof of concept of a wearable, wireless, modular respiratory Holter based on inertial measurement units (IMUS) for the continuous breathing pattern monitoring through the detection of chest wall breathing-related movements.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32002753</pmid><doi>10.1007/s11517-020-02125-9</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-2568-9735</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0140-0118
ispartof Medical & biological engineering & computing, 2020-04, Vol.58 (4), p.785-804
issn 0140-0118
1741-0444
language eng
recordid cdi_proquest_miscellaneous_2350093388
source MEDLINE; SpringerNature Journals; EBSCOhost Business Source Complete
subjects Accelerometers
Adult
Algorithms
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Bluetooth
Computer Applications
Computers
Data loss
Equipment Design
Exercise
Feasibility studies
Female
Healthy Volunteers
Human Physiology
Humans
Imaging
Inclination
Inertial platforms
Internet
Male
Mobile Applications
Monitoring
Monitoring, Physiologic - instrumentation
Monitoring, Physiologic - methods
Original Article
Posture
Radiology
Reliability analysis
Remote monitoring
Reproducibility of Results
Respiration
Servers
Signal Processing, Computer-Assisted
Smartphones
Thorax
Torso
Wearable Electronic Devices
title A novel acquisition platform for long-term breathing frequency monitoring based on inertial measurement units
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T10%3A55%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20novel%20acquisition%20platform%20for%20long-term%20breathing%20frequency%20monitoring%20based%20on%20inertial%20measurement%20units&rft.jtitle=Medical%20&%20biological%20engineering%20&%20computing&rft.au=Cesareo,%20Ambra&rft.date=2020-04-01&rft.volume=58&rft.issue=4&rft.spage=785&rft.epage=804&rft.pages=785-804&rft.issn=0140-0118&rft.eissn=1741-0444&rft_id=info:doi/10.1007/s11517-020-02125-9&rft_dat=%3Cproquest_cross%3E2389523548%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2389523548&rft_id=info:pmid/32002753&rfr_iscdi=true