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Published on: May 8, 2014
Walking-induced inertial effects on the cardiovascular system
Aurora Rosato1, Emanuele Perra1, Eric Rullman2
1Intelligent Heart Technology Lab, Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
This study introduces a cardiovascular model incorporating inertial forces from walking, revealing how body motion affects blood pressure. The model accurately simulates hemodynamic responses during exercise, improving our understanding of cardiac-locomotor interactions.
Area of Science:
- Physiology
- Biomedical Engineering
- Computational Modeling
Background:
- Cardiovascular and locomotor systems interact dynamically during exercise.
- Mechanisms of cardiovascular-locomotor coupling during walking are not fully understood.
- Existing computational models lack the inclusion of inertial forces from body motion.
Purpose of the Study:
- To develop and validate a closed-loop cardiovascular model that incorporates inertial effects during walking.
- To investigate the influence of body motion-induced inertial forces on hemodynamics.
- To enhance understanding of physiological network adaptations to exercise.
Main Methods:
- Developed a 25-compartment lumped parameter cardiovascular model with heart dynamics, pressures, and baroreflex.
- Modeled inertial effects as hydrodynamic pressure sources due to blood mass acceleration.
- Validated the model using head-up tilt tests, synthetic walking simulations, and a human walking experiment.
Main Results:
- The model accurately reproduced physiological responses to head-up tilt.
- Inertial effects during synthetic walking led to pressure augmentation, varying with heart rate and step rate phasing.
- The model successfully replicated beat-wise hemodynamic changes in human subjects, showing improved waveform similarity with inertial effects included.
Conclusions:
- Body acceleration-induced hydrodynamic pressure is a valid method to model walking's inertial effects on hemodynamics.
- This research provides a foundation for studying cardiac-locomotor interactions during exercise.
- The findings contribute to characterizing physiological network adaptations during physical activity.
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