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...
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Veröffentlicht in: | Medical & biological engineering & computing 2020-04, Vol.58 (4), p.785-804 |
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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 |
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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 < 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 & biological engineering & 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 & biological engineering & 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 < 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 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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 < 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> |
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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 |
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