Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake
The value of maximal oxygen uptake (VO ) is a key health indicator. Usually, VO is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor...
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| creator | Schulenburg, Robert Schmidt, Samuel Emil Schröder, Jan Harth, Volker Reer, Rüdiger |
| description | The value of maximal oxygen uptake (VO
) is a key health indicator. Usually, VO
is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit
, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO
.
A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit
measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion.
The CPET VO
was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit
estimates at 37.5 (8.1) mL/min/kg (
= 0.28) and 37.3 (7.8) mL/min/kg (
= 0.66). Post-exercise Seismofit
was 33.8 (7.1) mL/min/kg (
< 0.001). The correlation between the CPET and the Seismofit
was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit
measurement was 0.993, indicating excellent test-retest reliability.
The novel Seismofit
VO
estimate correlates well with CPET VO
, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit
estimates obtained at rest was very high. |
| doi_str_mv | 10.3390/healthcare12212162 |
| format | Article |
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) is a key health indicator. Usually, VO
is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit
, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO
.
A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit
measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion.
The CPET VO
was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit
estimates at 37.5 (8.1) mL/min/kg (
= 0.28) and 37.3 (7.8) mL/min/kg (
= 0.66). Post-exercise Seismofit
was 33.8 (7.1) mL/min/kg (
< 0.001). The correlation between the CPET and the Seismofit
was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit
measurement was 0.993, indicating excellent test-retest reliability.
The novel Seismofit
VO
estimate correlates well with CPET VO
, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit
estimates obtained at rest was very high.</description><identifier>ISSN: 2227-9032</identifier><identifier>EISSN: 2227-9032</identifier><identifier>DOI: 10.3390/healthcare12212162</identifier><identifier>PMID: 39517374</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Accelerometers ; Algorithms ; Cardiac function ; Chronic illnesses ; Disease ; Equipment and supplies ; Exercise physiology ; Health aspects ; Heart function tests ; Heart rate ; Laboratories ; Medical equipment ; Metabolism ; Methods ; Mortality ; Physical fitness ; Pre-existing conditions ; Principal components analysis ; Sensors ; Smartphones ; Software ; Sports medicine ; Standard error of estimate</subject><ispartof>Healthcare (Basel), 2024-11, Vol.12 (21), p.2162</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c323t-e3a4ce7f2fcaeee20031ed50448cbc56b64c044b6745329e6b6249597be08c603</cites><orcidid>0000-0001-9484-1334 ; 0000-0002-0917-634X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39517374$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schulenburg, Robert</creatorcontrib><creatorcontrib>Schmidt, Samuel Emil</creatorcontrib><creatorcontrib>Schröder, Jan</creatorcontrib><creatorcontrib>Harth, Volker</creatorcontrib><creatorcontrib>Reer, Rüdiger</creatorcontrib><title>Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake</title><title>Healthcare (Basel)</title><addtitle>Healthcare (Basel)</addtitle><description>The value of maximal oxygen uptake (VO
) is a key health indicator. Usually, VO
is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit
, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO
.
A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit
measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion.
The CPET VO
was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit
estimates at 37.5 (8.1) mL/min/kg (
= 0.28) and 37.3 (7.8) mL/min/kg (
= 0.66). Post-exercise Seismofit
was 33.8 (7.1) mL/min/kg (
< 0.001). The correlation between the CPET and the Seismofit
was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit
measurement was 0.993, indicating excellent test-retest reliability.
The novel Seismofit
VO
estimate correlates well with CPET VO
, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit
estimates obtained at rest was very high.</description><subject>Accelerometers</subject><subject>Algorithms</subject><subject>Cardiac function</subject><subject>Chronic illnesses</subject><subject>Disease</subject><subject>Equipment and supplies</subject><subject>Exercise physiology</subject><subject>Health aspects</subject><subject>Heart function tests</subject><subject>Heart rate</subject><subject>Laboratories</subject><subject>Medical equipment</subject><subject>Metabolism</subject><subject>Methods</subject><subject>Mortality</subject><subject>Physical fitness</subject><subject>Pre-existing conditions</subject><subject>Principal components analysis</subject><subject>Sensors</subject><subject>Smartphones</subject><subject>Software</subject><subject>Sports medicine</subject><subject>Standard error of estimate</subject><issn>2227-9032</issn><issn>2227-9032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkUlPwzAQhS0EAlT6BzggS1y4BLxlOyIUFonCAXriEDnOpDUkcbAT1P57XLXs2AePR997Gr1B6JCSU85TcjYHWfdzJS1QxiijEdtC-4yxOEgJZ9vf6j00du6Z-JNSnvBwF-3xNKQxj8U-esreZD3IXrcz_ADaNcZbltrMrOzmSywdlvjOtEG2AKu0AzyBfm5KXBmLM9frZi2dyIUva3y_WM6gxdOuly9wgHYqWTsYb94Rml5mjxfXwe391c3F-W2gOON9AFwKBXHFKiUBgBHCKZQhESJRhQqjIhLKf4ooFiFnKfgGE2mYxgWQREWEj9DJ2rez5nUA1-eNdgrqWrZgBpdzypJYEMEijx7_Qp_NYFs_3YqKiAh9mF_UTNaQ67YyvZVqZZqfJzT0-fv8PHX6D-VvCY1WpoVK-_4PAVsLlDXOWajyzvrU7DKnJF8tNf-7VC862kw8FA2Un5KPFfJ3B3KdNg</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Schulenburg, Robert</creator><creator>Schmidt, Samuel Emil</creator><creator>Schröder, Jan</creator><creator>Harth, Volker</creator><creator>Reer, Rüdiger</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9484-1334</orcidid><orcidid>https://orcid.org/0000-0002-0917-634X</orcidid></search><sort><creationdate>20241101</creationdate><title>Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake</title><author>Schulenburg, Robert ; 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) is a key health indicator. Usually, VO
is determined with cardiopulmonary exercise testing (CPET), which is cumbersome and time-consuming, making it impractical in many testing scenarios. The aim of this study is to validate a novel seismocardiography sensor (Seismofit
, VentriJect DK, Hellerup, Denmark) for non-exercise estimation of VO
.
A cohort of 94 healthy subjects (52% females, 48.2 (8.7) years old) were included in this study. All subjects performed an ergometer CPET. Seismofit
measurements were obtained 10 and 5 min before CPET in resting condition and 5 min after exhaustion.
The CPET VO
was 37.2 (8.6) mL/min/kg, which was not different from the two first Seismofit
estimates at 37.5 (8.1) mL/min/kg (
= 0.28) and 37.3 (7.8) mL/min/kg (
= 0.66). Post-exercise Seismofit
was 33.8 (7.1) mL/min/kg (
< 0.001). The correlation between the CPET and the Seismofit
was r = 0.834 and r = 0.832 for the two first estimates, and the mean average percentage error was 11.4% and 11.2%. Intraclass correlation coefficients between the first and second Seismofit
measurement was 0.993, indicating excellent test-retest reliability.
The novel Seismofit
VO
estimate correlates well with CPET VO
, and the accuracy is acceptable for general health assessment. The repeatability of Seismofit
estimates obtained at rest was very high.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39517374</pmid><doi>10.3390/healthcare12212162</doi><orcidid>https://orcid.org/0000-0001-9484-1334</orcidid><orcidid>https://orcid.org/0000-0002-0917-634X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central |
| subjects | Accelerometers Algorithms Cardiac function Chronic illnesses Disease Equipment and supplies Exercise physiology Health aspects Heart function tests Heart rate Laboratories Medical equipment Metabolism Methods Mortality Physical fitness Pre-existing conditions Principal components analysis Sensors Smartphones Software Sports medicine Standard error of estimate |
| title | Evaluating Seismocardiography as a Non-Exercise Method for Estimating Maximal Oxygen Uptake |
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