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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...

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Autores principales: Papini, Gabriele, Bonomi, Alberto G., Stut, Wim, Kraal, Jos J., Kemps, Hareld M. C., Sartor, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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