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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...
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/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. |
format | Online Article Text |
id | pubmed-5663433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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