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Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management
Chronotropic incompetence (CI) has been proven to be an important factor in the diagnosis and management of cardiovascular diseases. In this paper, we extend the existing CI parameters and propose chronotropic competence indices (CCI) to describe the exercise response of the cardiopulmonary system....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713041/ https://www.ncbi.nlm.nih.gov/pubmed/29068357 http://dx.doi.org/10.3390/s17112441 |
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author | Wu, Jiankang Li, Jianan Seely, Andrew Zhu, Yi Huang, Sisi Wang, Xiaoqin Zhao, Lei Wang, Hongliang Christophe, Herry |
author_facet | Wu, Jiankang Li, Jianan Seely, Andrew Zhu, Yi Huang, Sisi Wang, Xiaoqin Zhao, Lei Wang, Hongliang Christophe, Herry |
author_sort | Wu, Jiankang |
collection | PubMed |
description | Chronotropic incompetence (CI) has been proven to be an important factor in the diagnosis and management of cardiovascular diseases. In this paper, we extend the existing CI parameters and propose chronotropic competence indices (CCI) to describe the exercise response of the cardiopulmonary system. A cardiac chronotropic competence Test (3CT), dedicated to CCI measurement using a wearable device, is also presented. Preliminary clinical trials are presented for the validation of 3CT measurement accuracy, and to show the potential of CCI in the prevention and rehabilitation of cardiovascular diseases. |
format | Online Article Text |
id | pubmed-5713041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57130412017-12-07 Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management Wu, Jiankang Li, Jianan Seely, Andrew Zhu, Yi Huang, Sisi Wang, Xiaoqin Zhao, Lei Wang, Hongliang Christophe, Herry Sensors (Basel) Article Chronotropic incompetence (CI) has been proven to be an important factor in the diagnosis and management of cardiovascular diseases. In this paper, we extend the existing CI parameters and propose chronotropic competence indices (CCI) to describe the exercise response of the cardiopulmonary system. A cardiac chronotropic competence Test (3CT), dedicated to CCI measurement using a wearable device, is also presented. Preliminary clinical trials are presented for the validation of 3CT measurement accuracy, and to show the potential of CCI in the prevention and rehabilitation of cardiovascular diseases. MDPI 2017-10-25 /pmc/articles/PMC5713041/ /pubmed/29068357 http://dx.doi.org/10.3390/s17112441 Text en © 2017 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Jiankang Li, Jianan Seely, Andrew Zhu, Yi Huang, Sisi Wang, Xiaoqin Zhao, Lei Wang, Hongliang Christophe, Herry Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title | Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title_full | Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title_fullStr | Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title_full_unstemmed | Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title_short | Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management |
title_sort | chronotropic competence indices extracted from wearable sensors for cardiovascular diseases management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713041/ https://www.ncbi.nlm.nih.gov/pubmed/29068357 http://dx.doi.org/10.3390/s17112441 |
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