Loading…
A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions
The present research describes the development and validation of a cardiovascular sub-model (CVR Model) for use in conjunction with advanced thermophysiological models, where usually only a total cardiac output is estimated. The CVR Model detailed herein estimates cardio-dynamic parameters (changes...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Default Article |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/19961327.v1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1818165830944292864 |
|---|---|
| author | Alex Lloyd Dusan Fiala Christian Heyde George Havenith |
| author_facet | Alex Lloyd Dusan Fiala Christian Heyde George Havenith |
| author_sort | Alex Lloyd (1260555) |
| collection | Figshare |
| description | The present research describes the development and validation of a cardiovascular sub-model (CVR Model) for use in conjunction with advanced thermophysiological models, where usually only a total cardiac output is estimated. The CVR Model detailed herein estimates cardio-dynamic parameters (changes in cardiac output, stroke volume, heart rate), regional blood flow, and muscle oxygen extraction, in response to rest and physical workloads, across a range of ages and aerobic fitness levels, as well as during exposure to heat, dehydration, and altitude. The model development strategy was to first establish basic resting and exercise predictions for cardiodynamic parameters in an 'ideal' environment (cool, sea level, hydrated person). This basic model was then advanced for increasing levels of altitude, heat strain and dehydration, using meta-analysis and reaggregation of published data. Using the estimated altitude- and heat-induced changes in maximum oxygen extraction and maximum cardiac output, the decline in maximum oxygen consumption at high-altitude and in the heat was also modelled. A validation of predicted cardiovascular strain using heart rate was conducted using a dataset of 101 heterogeneous individuals (1371 data points) during rest and exercise in the heat and at altitude, demonstrating that the CVR model performs well (R2 = 0.82-0.84) in predicting cardiovascular strain, particularly at a group mean level (R2 = 0.97). The development of the CVR Model is aimed at providing the FPC Model and other complex thermophysiological models with improved estimations of cardiac strain and exercise tolerance, across a range of individuals during acute exposure to environmental stressors. |
| format | Default Article |
| id | rr-article-19961327 |
| institution | Loughborough University |
| publishDate | 2022 |
| record_format | Figshare |
| spelling | rr-article-199613272022-06-02T00:00:00Z A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions Alex Lloyd (1260555) Dusan Fiala (7149500) Christian Heyde (4276099) George Havenith (1383810) Cardiovascular strain Thermoregulation Simulation Mathematical modelling Rest and exercise <p>The present research describes the development and validation of a cardiovascular sub-model (CVR Model) for use in conjunction with advanced thermophysiological models, where usually only a total cardiac output is estimated. The CVR Model detailed herein estimates cardio-dynamic parameters (changes in cardiac output, stroke volume, heart rate), regional blood flow, and muscle oxygen extraction, in response to rest and physical workloads, across a range of ages and aerobic fitness levels, as well as during exposure to heat, dehydration, and altitude. The model development strategy was to first establish basic resting and exercise predictions for cardiodynamic parameters in an 'ideal' environment (cool, sea level, hydrated person). This basic model was then advanced for increasing levels of altitude, heat strain and dehydration, using meta-analysis and reaggregation of published data. Using the estimated altitude- and heat-induced changes in maximum oxygen extraction and maximum cardiac output, the decline in maximum oxygen consumption at high-altitude and in the heat was also modelled. A validation of predicted cardiovascular strain using heart rate was conducted using a dataset of 101 heterogeneous individuals (1371 data points) during rest and exercise in the heat and at altitude, demonstrating that the CVR model performs well (R<sup>2</sup> = 0.82-0.84) in predicting cardiovascular strain, particularly at a group mean level (R<sup>2</sup> = 0.97). The development of the CVR Model is aimed at providing the FPC Model and other complex thermophysiological models with improved estimations of cardiac strain and exercise tolerance, across a range of individuals during acute exposure to environmental stressors.</p> 2022-06-02T00:00:00Z Text Journal contribution 2134/19961327.v1 https://figshare.com/articles/journal_contribution/A_mathematical_model_for_predicting_cardiovascular_responses_at_rest_and_during_exercise_in_demanding_environmental_conditions/19961327 CC BY 4.0 |
| spellingShingle | Cardiovascular strain Thermoregulation Simulation Mathematical modelling Rest and exercise Alex Lloyd Dusan Fiala Christian Heyde George Havenith A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title | A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title_full | A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title_fullStr | A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title_full_unstemmed | A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title_short | A mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| title_sort | mathematical model for predicting cardiovascular responses at rest and during exercise in demanding environmental conditions |
| topic | Cardiovascular strain Thermoregulation Simulation Mathematical modelling Rest and exercise |
| url | https://hdl.handle.net/2134/19961327.v1 |