In-Ear PPG for Vital Signs
Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We re...
Gespeichert in:
| Veröffentlicht in: | IEEE pervasive computing 2022-01, Vol.21 (1), p.65-74 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 74 |
|---|---|
| container_issue | 1 |
| container_start_page | 65 |
| container_title | IEEE pervasive computing |
| container_volume | 21 |
| creator | Ferlini, Andrea Montanari, Alessandro Min, Chulhong Li, Hongwei Sassi, Ugo Kawsar, Fahim |
| description | Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We report a systematic characterization of in-ear photoplethysmography (PPG) in measuring vital signs: heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO_22), and respiration rate (RR). We explore in-ear PPG inaccuracies stemming from different sensor placements and motion-induced artifacts. We observe statistically significant differences across sensor placements and between artifact types, with ITC placement showing the lowest intersubject variability. However, our study shows the absolute error climbs up to 29.84, 24.09, 3.28, and 30.80%, respectively, for HR, HRV, SpO_22, and RR during motion activities. Our preliminary results suggest that in-ear PPG is reasonably accurate in detecting vital signs but demands careful mechanical design and signal processing treatment. |
| doi_str_mv | 10.1109/MPRV.2021.3121171 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9642255</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9642255</ieee_id><sourcerecordid>2639930565</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-aaf474cf30d9e8cd5486bf4c55522e6d90b6944c2732c4350a14bed016c1e2663</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EEqXwAcAmEmsXz_iReImqtlQqIuLRreU4DkpVkmKnC_6eRKlYzV2ce0c6hNwCmwEw_fiSv21nyBBmHBAghTMyASkzilKz8yFzRQFVdkmuYtwxBpnWekLu1g1d2JDk-Sqp2pBs687uk_f6q4nX5KKy--hvTndKPpeLj_kz3byu1vOnDXWoeUetrUQqXMVZqX3mSikyVVTCSSkRvSo1K5QWwmHK0QkumQVR-JKBcuBRKT4lD-PuIbQ_Rx87s2uPoelfGlRca86kkj0FI-VCG2PwlTmE-tuGXwPMDArMoMAMCsxJQd-5Hzu19_6f10ogSsn_AJWZU_I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2639930565</pqid></control><display><type>article</type><title>In-Ear PPG for Vital Signs</title><source>IEEE Electronic Library (IEL)</source><creator>Ferlini, Andrea ; Montanari, Alessandro ; Min, Chulhong ; Li, Hongwei ; Sassi, Ugo ; Kawsar, Fahim</creator><creatorcontrib>Ferlini, Andrea ; Montanari, Alessandro ; Min, Chulhong ; Li, Hongwei ; Sassi, Ugo ; Kawsar, Fahim</creatorcontrib><description>Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We report a systematic characterization of in-ear photoplethysmography (PPG) in measuring vital signs: heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO_22), and respiration rate (RR). We explore in-ear PPG inaccuracies stemming from different sensor placements and motion-induced artifacts. We observe statistically significant differences across sensor placements and between artifact types, with ITC placement showing the lowest intersubject variability. However, our study shows the absolute error climbs up to 29.84, 24.09, 3.28, and 30.80%, respectively, for HR, HRV, SpO_22, and RR during motion activities. Our preliminary results suggest that in-ear PPG is reasonably accurate in detecting vital signs but demands careful mechanical design and signal processing treatment.</description><identifier>ISSN: 1536-1268</identifier><identifier>EISSN: 1558-2590</identifier><identifier>DOI: 10.1109/MPRV.2021.3121171</identifier><identifier>CODEN: IPCECF</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Arteries ; Biomedical signal processing ; Ear ; Error analysis ; Health care ; Heart rate ; Heart rate variability ; Irrigation ; Oxygen content ; Photoplethysmography ; Sensor placement ; Signal processing ; Systematics</subject><ispartof>IEEE pervasive computing, 2022-01, Vol.21 (1), p.65-74</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-aaf474cf30d9e8cd5486bf4c55522e6d90b6944c2732c4350a14bed016c1e2663</citedby><cites>FETCH-LOGICAL-c293t-aaf474cf30d9e8cd5486bf4c55522e6d90b6944c2732c4350a14bed016c1e2663</cites><orcidid>0000-0001-5057-9557 ; 0000-0003-0768-4735 ; 0000-0002-5197-9840</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9642255$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9642255$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ferlini, Andrea</creatorcontrib><creatorcontrib>Montanari, Alessandro</creatorcontrib><creatorcontrib>Min, Chulhong</creatorcontrib><creatorcontrib>Li, Hongwei</creatorcontrib><creatorcontrib>Sassi, Ugo</creatorcontrib><creatorcontrib>Kawsar, Fahim</creatorcontrib><title>In-Ear PPG for Vital Signs</title><title>IEEE pervasive computing</title><addtitle>MPRV</addtitle><description>Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We report a systematic characterization of in-ear photoplethysmography (PPG) in measuring vital signs: heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO_22), and respiration rate (RR). We explore in-ear PPG inaccuracies stemming from different sensor placements and motion-induced artifacts. We observe statistically significant differences across sensor placements and between artifact types, with ITC placement showing the lowest intersubject variability. However, our study shows the absolute error climbs up to 29.84, 24.09, 3.28, and 30.80%, respectively, for HR, HRV, SpO_22, and RR during motion activities. Our preliminary results suggest that in-ear PPG is reasonably accurate in detecting vital signs but demands careful mechanical design and signal processing treatment.</description><subject>Arteries</subject><subject>Biomedical signal processing</subject><subject>Ear</subject><subject>Error analysis</subject><subject>Health care</subject><subject>Heart rate</subject><subject>Heart rate variability</subject><subject>Irrigation</subject><subject>Oxygen content</subject><subject>Photoplethysmography</subject><subject>Sensor placement</subject><subject>Signal processing</subject><subject>Systematics</subject><issn>1536-1268</issn><issn>1558-2590</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwAcAmEmsXz_iReImqtlQqIuLRreU4DkpVkmKnC_6eRKlYzV2ce0c6hNwCmwEw_fiSv21nyBBmHBAghTMyASkzilKz8yFzRQFVdkmuYtwxBpnWekLu1g1d2JDk-Sqp2pBs687uk_f6q4nX5KKy--hvTndKPpeLj_kz3byu1vOnDXWoeUetrUQqXMVZqX3mSikyVVTCSSkRvSo1K5QWwmHK0QkumQVR-JKBcuBRKT4lD-PuIbQ_Rx87s2uPoelfGlRca86kkj0FI-VCG2PwlTmE-tuGXwPMDArMoMAMCsxJQd-5Hzu19_6f10ogSsn_AJWZU_I</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Ferlini, Andrea</creator><creator>Montanari, Alessandro</creator><creator>Min, Chulhong</creator><creator>Li, Hongwei</creator><creator>Sassi, Ugo</creator><creator>Kawsar, Fahim</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-5057-9557</orcidid><orcidid>https://orcid.org/0000-0003-0768-4735</orcidid><orcidid>https://orcid.org/0000-0002-5197-9840</orcidid></search><sort><creationdate>20220101</creationdate><title>In-Ear PPG for Vital Signs</title><author>Ferlini, Andrea ; Montanari, Alessandro ; Min, Chulhong ; Li, Hongwei ; Sassi, Ugo ; Kawsar, Fahim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-aaf474cf30d9e8cd5486bf4c55522e6d90b6944c2732c4350a14bed016c1e2663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Arteries</topic><topic>Biomedical signal processing</topic><topic>Ear</topic><topic>Error analysis</topic><topic>Health care</topic><topic>Heart rate</topic><topic>Heart rate variability</topic><topic>Irrigation</topic><topic>Oxygen content</topic><topic>Photoplethysmography</topic><topic>Sensor placement</topic><topic>Signal processing</topic><topic>Systematics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ferlini, Andrea</creatorcontrib><creatorcontrib>Montanari, Alessandro</creatorcontrib><creatorcontrib>Min, Chulhong</creatorcontrib><creatorcontrib>Li, Hongwei</creatorcontrib><creatorcontrib>Sassi, Ugo</creatorcontrib><creatorcontrib>Kawsar, Fahim</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE pervasive computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ferlini, Andrea</au><au>Montanari, Alessandro</au><au>Min, Chulhong</au><au>Li, Hongwei</au><au>Sassi, Ugo</au><au>Kawsar, Fahim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In-Ear PPG for Vital Signs</atitle><jtitle>IEEE pervasive computing</jtitle><stitle>MPRV</stitle><date>2022-01-01</date><risdate>2022</risdate><volume>21</volume><issue>1</issue><spage>65</spage><epage>74</epage><pages>65-74</pages><issn>1536-1268</issn><eissn>1558-2590</eissn><coden>IPCECF</coden><abstract>Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We report a systematic characterization of in-ear photoplethysmography (PPG) in measuring vital signs: heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO_22), and respiration rate (RR). We explore in-ear PPG inaccuracies stemming from different sensor placements and motion-induced artifacts. We observe statistically significant differences across sensor placements and between artifact types, with ITC placement showing the lowest intersubject variability. However, our study shows the absolute error climbs up to 29.84, 24.09, 3.28, and 30.80%, respectively, for HR, HRV, SpO_22, and RR during motion activities. Our preliminary results suggest that in-ear PPG is reasonably accurate in detecting vital signs but demands careful mechanical design and signal processing treatment.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/MPRV.2021.3121171</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5057-9557</orcidid><orcidid>https://orcid.org/0000-0003-0768-4735</orcidid><orcidid>https://orcid.org/0000-0002-5197-9840</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1536-1268 |
| ispartof | IEEE pervasive computing, 2022-01, Vol.21 (1), p.65-74 |
| issn | 1536-1268 1558-2590 |
| language | eng |
| recordid | cdi_ieee_primary_9642255 |
| source | IEEE Electronic Library (IEL) |
| subjects | Arteries Biomedical signal processing Ear Error analysis Health care Heart rate Heart rate variability Irrigation Oxygen content Photoplethysmography Sensor placement Signal processing Systematics |
| title | In-Ear PPG for Vital Signs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T08%3A33%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=In-Ear%20PPG%20for%20Vital%20Signs&rft.jtitle=IEEE%20pervasive%20computing&rft.au=Ferlini,%20Andrea&rft.date=2022-01-01&rft.volume=21&rft.issue=1&rft.spage=65&rft.epage=74&rft.pages=65-74&rft.issn=1536-1268&rft.eissn=1558-2590&rft.coden=IPCECF&rft_id=info:doi/10.1109/MPRV.2021.3121171&rft_dat=%3Cproquest_RIE%3E2639930565%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2639930565&rft_id=info:pmid/&rft_ieee_id=9642255&rfr_iscdi=true |