A Dynamic Fitting Strategy for Physiological Models: A Case Study of a Cardiorespiratory Model for the Simulation of Incremental Aerobic Exercise DOI Open Access
C. A. Sarmiento, A. M. Hernández, Miguel Ángel Mañanas

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(4), P. 406 - 406

Published: April 11, 2024

Using mathematical models of physiological systems in medicine has allowed for the development diagnostic, treatment, and medical educational tools. However, their complexity restricts, most cases, application predictive, preventive, personalized purposes. Although there are strategies that reduce applying based on fitting techniques, them focused a single instant time, neglecting effect system’s temporal evolution. The objective this research was to introduce dynamic strategy with an extensive array parameters constrained amount experimental data. proposed obtaining better predictions trends being capable predicting future states. study utilized cardiorespiratory model as case study. Experimental data from longitudinal healthy adult subjects undergoing aerobic exercise were used validation. obtained steady state using traditional single-fit approach compared. successful outcomes primarily linked strategy, exhibiting overall results regarding accuracy behavior than population at time. evidenced usefulness highlighting its use applications.

Language: Английский

A culture of health promotion in healthcare: Can't pour from an empty cup DOI Creative Commons
Richard Severin, Ross Arena

Progress in Cardiovascular Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1
Physical activity fragmentation—a new frontier in physical health? DOI Creative Commons
Ahmed Sayed, Leandro Slipczuk, Carl J. Lavie

et al.

The Lancet Regional Health - Americas, Journal Year: 2025, Volume and Issue: 44, P. 101051 - 101051

Published: March 8, 2025

Language: Английский

Citations

0
A Dynamic Fitting Strategy for Physiological Models: A Case Study of a Cardiorespiratory Model for the Simulation of Incremental Aerobic Exercise DOI Open Access
C. A. Sarmiento, A. M. Hernández, Miguel Ángel Mañanas

et al.

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(4), P. 406 - 406

Published: April 11, 2024

Using mathematical models of physiological systems in medicine has allowed for the development diagnostic, treatment, and medical educational tools. However, their complexity restricts, most cases, application predictive, preventive, personalized purposes. Although there are strategies that reduce applying based on fitting techniques, them focused a single instant time, neglecting effect system’s temporal evolution. The objective this research was to introduce dynamic strategy with an extensive array parameters constrained amount experimental data. proposed obtaining better predictions trends being capable predicting future states. study utilized cardiorespiratory model as case study. Experimental data from longitudinal healthy adult subjects undergoing aerobic exercise were used validation. obtained steady state using traditional single-fit approach compared. successful outcomes primarily linked strategy, exhibiting overall results regarding accuracy behavior than population at time. evidenced usefulness highlighting its use applications.

Language: Английский

Citations

0