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Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry
Cardiorespiratory fitness (CRF) provides important diagnostic and prognostic information. It is measured directly via laboratory maximal testing or indirectly via submaximal protocols making use of predictor parameters such as submaximal [Image: see text] , heart rate, workload, and perceived exerti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587281/ https://www.ncbi.nlm.nih.gov/pubmed/28877186 http://dx.doi.org/10.1371/journal.pone.0183740 |
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author | Papini, Gabriele Bonomi, Alberto G. Stut, Wim Kraal, Jos J. Kemps, Hareld M. C. Sartor, Francesco |
author_facet | Papini, Gabriele Bonomi, Alberto G. Stut, Wim Kraal, Jos J. Kemps, Hareld M. C. Sartor, Francesco |
author_sort | Papini, Gabriele |
collection | PubMed |
description | Cardiorespiratory fitness (CRF) provides important diagnostic and prognostic information. It is measured directly via laboratory maximal testing or indirectly via submaximal protocols making use of predictor parameters such as submaximal [Image: see text] , heart rate, workload, and perceived exertion. We have established an innovative methodology, which can provide CRF prediction based only on body motion during a periodic movement. Thirty healthy subjects (40% females, 31.3 ± 7.8 yrs, 25.1 ± 3.2 BMI) and eighteen male coronary artery disease (CAD) (56.6 ± 7.4 yrs, 28.7 ± 4.0 BMI) patients performed a [Image: see text] test on a cycle ergometer as well as a 45 second squatting protocol at a fixed tempo (80 bpm). A tri-axial accelerometer was used to monitor movements during the squat exercise test. Three regression models were developed to predict CRF based on subject characteristics and a new accelerometer-derived feature describing motion decay. For each model, the Pearson correlation coefficient and the root mean squared error percentage were calculated using the leave-one-subject-out cross-validation method (r(cv), RMSE(cv)). The model built with all healthy individuals’ data showed an r(cv) = 0.68 and an RMSE(cv) = 16.7%. The CRF prediction improved when only healthy individuals with normal to lower fitness (CRF<40 ml/min/kg) were included, showing an r(cv) = 0.91 and RMSE(cv) = 8.7%. Finally, our accelerometry-based CRF prediction CAD patients, the majority of whom taking β-blockers, still showed high accuracy (r(cv) = 0.91; RMSE(cv) = 9.6%). In conclusion, motion decay and subject characteristics could be used to predict CRF in healthy people as well as in CAD patients taking β-blockers, accurately. This method could represent a valid alternative for patients taking β-blockers, but needs to be further validated in a larger population. |
format | Online Article Text |
id | pubmed-5587281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55872812017-09-15 Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry Papini, Gabriele Bonomi, Alberto G. Stut, Wim Kraal, Jos J. Kemps, Hareld M. C. Sartor, Francesco PLoS One Research Article Cardiorespiratory fitness (CRF) provides important diagnostic and prognostic information. It is measured directly via laboratory maximal testing or indirectly via submaximal protocols making use of predictor parameters such as submaximal [Image: see text] , heart rate, workload, and perceived exertion. We have established an innovative methodology, which can provide CRF prediction based only on body motion during a periodic movement. Thirty healthy subjects (40% females, 31.3 ± 7.8 yrs, 25.1 ± 3.2 BMI) and eighteen male coronary artery disease (CAD) (56.6 ± 7.4 yrs, 28.7 ± 4.0 BMI) patients performed a [Image: see text] test on a cycle ergometer as well as a 45 second squatting protocol at a fixed tempo (80 bpm). A tri-axial accelerometer was used to monitor movements during the squat exercise test. Three regression models were developed to predict CRF based on subject characteristics and a new accelerometer-derived feature describing motion decay. For each model, the Pearson correlation coefficient and the root mean squared error percentage were calculated using the leave-one-subject-out cross-validation method (r(cv), RMSE(cv)). The model built with all healthy individuals’ data showed an r(cv) = 0.68 and an RMSE(cv) = 16.7%. The CRF prediction improved when only healthy individuals with normal to lower fitness (CRF<40 ml/min/kg) were included, showing an r(cv) = 0.91 and RMSE(cv) = 8.7%. Finally, our accelerometry-based CRF prediction CAD patients, the majority of whom taking β-blockers, still showed high accuracy (r(cv) = 0.91; RMSE(cv) = 9.6%). In conclusion, motion decay and subject characteristics could be used to predict CRF in healthy people as well as in CAD patients taking β-blockers, accurately. This method could represent a valid alternative for patients taking β-blockers, but needs to be further validated in a larger population. Public Library of Science 2017-09-06 /pmc/articles/PMC5587281/ /pubmed/28877186 http://dx.doi.org/10.1371/journal.pone.0183740 Text en © 2017 Papini et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Papini, Gabriele Bonomi, Alberto G. Stut, Wim Kraal, Jos J. Kemps, Hareld M. C. Sartor, Francesco Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title | Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title_full | Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title_fullStr | Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title_full_unstemmed | Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title_short | Proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
title_sort | proof of concept of a 45-second cardiorespiratory fitness self-test for coronary artery disease patients based on accelerometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587281/ https://www.ncbi.nlm.nih.gov/pubmed/28877186 http://dx.doi.org/10.1371/journal.pone.0183740 |
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