Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data

Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data

Abstract Regular aerobic physical activity is of utmost importance in maintaining a good health status and preventing cardiovascular diseases (CVDs). Although cardiopulmonary exercise testing (CPX) is an essential examination for noninvasive estimation of ventilatory threshold (VT), defined as the c...

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Bibliographic Details
Main Authors: Kotaro Miura, Shinichi Goto, Yoshinori Katsumata, Hidehiko Ikura, Yasuyuki Shiraishi, Kazuki Sato, Keiichi Fukuda
Format: Article
Language:English
Published: Nature Publishing Group 2020-10-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-020-00348-6

Internet

https://doi.org/10.1038/s41746-020-00348-6

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