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Dedicated cardiac rehabilitation wearable sensor and its clinical potential

We describe a wearable sensor developed for cardiac rehabilitation (CR) exercise. To effectively guide CR exercise, the dedicated CR wearable sensor (DCRW) automatically recommends the exercise intensity to the patient by comparing heart rate (HR) measured in real time with a predefined target heart...

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Detalles Bibliográficos
Autores principales: Lee, Hooseok, Chung, Heewon, Ko, Hoon, Jeong, Changwon, Noh, Se-Eung, Kim, Chul, Lee, Jinseok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663433/
https://www.ncbi.nlm.nih.gov/pubmed/29088260
http://dx.doi.org/10.1371/journal.pone.0187108
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author Lee, Hooseok
Chung, Heewon
Ko, Hoon
Jeong, Changwon
Noh, Se-Eung
Kim, Chul
Lee, Jinseok
author_facet Lee, Hooseok
Chung, Heewon
Ko, Hoon
Jeong, Changwon
Noh, Se-Eung
Kim, Chul
Lee, Jinseok
author_sort Lee, Hooseok
collection PubMed
description We describe a wearable sensor developed for cardiac rehabilitation (CR) exercise. To effectively guide CR exercise, the dedicated CR wearable sensor (DCRW) automatically recommends the exercise intensity to the patient by comparing heart rate (HR) measured in real time with a predefined target heart rate zone (THZ) during exercise. The CR exercise includes three periods: pre-exercise, exercise with intensity guidance, and post-exercise. In the pre-exercise period, information such as THZ, exercise type, exercise stage order, and duration of each stage are set up through a smartphone application we developed for iPhones and Android devices. The set-up information is transmitted to the DCRW via Bluetooth communication. In the period of exercise with intensity guidance, the DCRW continuously estimates HR using a reflected pulse signal in the wrist. To achieve accurate HR measurements, we used multichannel photo sensors and increased the chances of acquiring a clean signal. Subsequently, we used singular value decomposition (SVD) for de-noising. For the median and variance of RMSEs in the measured HRs, our proposed method with DCRW provided lower values than those from a single channel-based method and template-based multiple-channel method for the entire exercise stage. In the post-exercise period, the DCRW transmits all the measured HR data to the smartphone application via Bluetooth communication, and the patient can monitor his/her own exercise history.
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spelling pubmed-56634332017-11-09 Dedicated cardiac rehabilitation wearable sensor and its clinical potential Lee, Hooseok Chung, Heewon Ko, Hoon Jeong, Changwon Noh, Se-Eung Kim, Chul Lee, Jinseok PLoS One Research Article We describe a wearable sensor developed for cardiac rehabilitation (CR) exercise. To effectively guide CR exercise, the dedicated CR wearable sensor (DCRW) automatically recommends the exercise intensity to the patient by comparing heart rate (HR) measured in real time with a predefined target heart rate zone (THZ) during exercise. The CR exercise includes three periods: pre-exercise, exercise with intensity guidance, and post-exercise. In the pre-exercise period, information such as THZ, exercise type, exercise stage order, and duration of each stage are set up through a smartphone application we developed for iPhones and Android devices. The set-up information is transmitted to the DCRW via Bluetooth communication. In the period of exercise with intensity guidance, the DCRW continuously estimates HR using a reflected pulse signal in the wrist. To achieve accurate HR measurements, we used multichannel photo sensors and increased the chances of acquiring a clean signal. Subsequently, we used singular value decomposition (SVD) for de-noising. For the median and variance of RMSEs in the measured HRs, our proposed method with DCRW provided lower values than those from a single channel-based method and template-based multiple-channel method for the entire exercise stage. In the post-exercise period, the DCRW transmits all the measured HR data to the smartphone application via Bluetooth communication, and the patient can monitor his/her own exercise history. Public Library of Science 2017-10-31 /pmc/articles/PMC5663433/ /pubmed/29088260 http://dx.doi.org/10.1371/journal.pone.0187108 Text en © 2017 Lee 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
Lee, Hooseok
Chung, Heewon
Ko, Hoon
Jeong, Changwon
Noh, Se-Eung
Kim, Chul
Lee, Jinseok
Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title_full Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title_fullStr Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title_full_unstemmed Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title_short Dedicated cardiac rehabilitation wearable sensor and its clinical potential
title_sort dedicated cardiac rehabilitation wearable sensor and its clinical potential
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663433/
https://www.ncbi.nlm.nih.gov/pubmed/29088260
http://dx.doi.org/10.1371/journal.pone.0187108
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