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Sensors 2017, 17(11), 2441; doi:10.3390/s17112441

Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management

1
The University of Chinese Academy of Sciences, Beijing 100049, China
2
Jiangsu Province Hospital, No. 200 Guangzhou Road, Nanjing 210008, China
3
Ottawa Hospital Research Institute, 1053 Carling Ave, Ottawa, ON K1Y 4E9, Canada
*
Author to whom correspondence should be addressed.
Received: 30 August 2017 / Revised: 7 October 2017 / Accepted: 19 October 2017 / Published: 25 October 2017
(This article belongs to the Special Issue Sensors and Analytics for Precision Medicine)
View Full-Text   |   Download PDF [909 KB, uploaded 25 October 2017]   |  

Abstract

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. View Full-Text
Keywords: chronotropic competence indices (CCI); chronotropic incompetence (CI); cardiopulmunary exercise test (CPET); wearable sensors chronotropic competence indices (CCI); chronotropic incompetence (CI); cardiopulmunary exercise test (CPET); wearable sensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wu, J.; Li, J.; Seely, A.; Zhu, Y.; Huang, S.; Wang, X.; Zhao, L.; Wang, H.; Christophe, H. Chronotropic Competence Indices Extracted from Wearable Sensors for Cardiovascular Diseases Management. Sensors 2017, 17, 2441.

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