Prediction for blood lactate during exercise using an artificial intelligence—Enabled electrocardiogram: a feasibility study

Prediction for blood lactate during exercise using an artificial intelligence—Enabled electrocardiogram: a feasibility study

Introduction: The acquisition of blood lactate concentration (BLC) during exercise is beneficial for endurance training, yet a convenient method to measure it remains unavailable. BLC and electrocardiogram (ECG) both exhibit variations with changes in exercise intensity and duration. In this study,...

Full description

Bibliographic Details
Main Authors: Shu-Chun Huang, Chen-Hung Lee, Chih-Chin Hsu, Sing-Ya Chang, Yu-An Chen, Chien-Hung Chiu, Ching-Chung Hsiao, Hong-Ren Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Physiology
Subjects:
exercise
convolutional neural network
long short-term memory
recurrent neural network
residual network
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1253598/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1253598/full

Similar Items