A statistical process model is proposed to model relationship between heart rate and activity. Multiple models are built and each of them is corresponding�...
The multi-phase model is the first model which also describes the variability of heart rate changes with exercise, besides kinetics, and makes it more�...
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sign in. Inproceedings,. An exercise-driven heart rate statistical process model. Y. Yang, L. Ji, H. Wu, and J. Wu. FUSION, page 432-438. IEEE, (2012 ). 1. 1�...
Nov 15, 2023 � We propose a hybrid approach that combines a physiological model with flexible neural network components to learn a personalized, multidimensional�...
Jul 27, 2024 � This study proposes a method for controlling heart rate that does not require excessive exercise for modeling. In this study, a heart rate�...
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We introduce a hybrid machine learning model that combines a physiological model of HR and demand during exercise with neural network embeddings.
Missing: statistical | Show results with:statistical
“An exercise-driven heart rate statistical process model,” in Information Fusion (FUSION), 2012 15th International Conference on (Singapore: IEEE), 432–438.
The objective of the present study was to formulate a simple and at the same time effective mathematical model of heart rate kinetics in response to�...
HRV metrics are used as markers of human cardiovascular health and risk stratification, or as measures of load quantification, exercise response and performance�...
Apr 21, 2021 � Characterisation of heart rate (HR) dynamics and their dependence on exercise intensity provides a basis for feedback design of automatic HR�...
Missing: driven | Show results with:driven
