On a model of human bioenergetics II

Rh, Morton

doi:10.1007/bf00422743

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…It does include a limitation of the power depending on the level of emptying of the non-oxidative reservoirs. However, Morton showed that the predictions of the model were not all realistic 11 , 12 . Therefore, Morton upgraded Margaria’s model by introducing elevation differences between reservoirs 13 , aiming to reproduce human physiology phenomena more accurately, namely what he defines as the “anaerobic threshold” or “onset of lactate production”.…”

Section: Introductionmentioning

confidence: 99%

Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the Margaria–Morton model

Boillet,

Messonnier,

Cohen

2024

Sci Rep

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Performance in many racing sports depends on the ability of the athletes to produce and maintain the highest possible work i.e., the highest power for the duration of the race. To model this energy production in an individualized way, an adaptation and a reinterpretation (including a physiological meaning of parameters) of the three-component Margaria–Morton model were performed. The model is applied to the muscles involved in a given task. The introduction of physiological meanings was possible thanks to the measurement of physiological characteristics for a given athlete. A method for creating a digital twin was therefore proposed and applied for national-level cyclists. The twins thus created were validated by comparison with field performance, experimental observations, and literature data. Simulations of record times and 3-minute all-out tests were consistent with experimental data. Considering the literature, the model provided good estimates of the time course of muscle metabolite concentrations (e.g., lactate and phosphocreatine). It also simulated the behavior of oxygen kinetics at exercise onset and during recovery. This methodology has a wide range of applications, including prediction and optimization of the performance of individually modeled athletes.

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Section: Introductionmentioning

confidence: 99%

Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the Margaria–Morton model

Boillet,

Messonnier,

Cohen

2024

Sci Rep

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“…A schematic description of the bioenergetic model can be seen in Figure 3. The M-M-S model is based on the work of Margaria, 31 Morton, 27,32–34 and Behncke 35 and, in conformity with those models, it works as a coupled hydraulic system of several fluid compartments. The fluid in each compartment represents the energy content of separate energetic substrates and the flow of liquid between compartments is regarded as the rate of energy conversion.…”

Section: Methodsmentioning

confidence: 99%

“…The starting speed in all simulations was v = 1 mÁs 21 , so the initial maximal power output was P = 229:4 W constrained by the force-velocity relationship in equation (33). As the rider was wearing equipment with a mass of 1.7 kg while riding his 7.2-kg bicycle, the total mass of the rider-bicycle system was m = 83:9 kg.…”

Section: Mechanical Simulation Modelmentioning

confidence: 99%

Optimization of pacing strategies for variable wind conditions in road cycling

Sundström

Bäckström

2017

Proceedings of the Institution of Mechanical Engineers, Part P:

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It has been shown theoretically that performance can be enhanced by varying power in parallel with variable ambient conditions. However, no theoretical model has considered aerobic substrate utilization dynamics, limited carbohydrate stores, force-velocity relationships, and proper efficiency modelling. Furthermore, no study has investigated optimal pacing for courses with continuously variable ambient wind directions. Therefore, the aim of this study was to develop a model for the optimization of pacing strategies in road cycling with an updated bioenergetic model. The purpose of this model was to optimize pacing strategies for courses with continuously variable wind directions on both short (2 km) and long (100 km) courses. For this purpose, a numerical model consisting of three sub-models was programmed into the MATLAB software. This model consisted of one mechanical simulation model for cycling locomotion, one bioenergetic model based on the Margaria-Morton-Sundströ m model, and the method of moving asymptotes for optimization of the pacing strategy. Results showed that by optimizing the pacing strategies, time gains of 4.9% and 5.7% were attained for the 2-km courses with and without an ambient wind of 5 mÁs 21 , respectively. The corresponding time gains for the 100-km courses were 1.4% and 2.0% with and without ambient wind, respectively. The theoretical model in this study further resulted in all-out strategies for the flat 2-km courses with and without ambient wind. Moreover, the 100-km course without wind was met with a positive pacing strategy and the 100-km course with ambient wind was met with a compromise of positive pacing and variable power distribution in parallel with the variable ambient wind conditions. In conclusion, the model presented in this study performed more detailed bioenergetic simulations than previous pacing strategy optimization studies, and this resulted in more detailed pacing strategies for long courses.

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“…No estimates of 0, 2 or tp are available, so suppose 0 = 0.65, 2 = 0.1 and tp = 0.05. Following an earlier example (Morton 1986b …”

Section: G-d;--imentioning

confidence: 99%

“…In particular in this paper I investigate the implications of certain hypotheses concerning the shortage of chemical fuel as a subgroup of the possible causes of fatigue, on the time course of maximal power and on endurance at various workloads. Some simpler aspects of these two questions (Morton 1986b(Morton , 1987 are indicative of the potential of this approach.…”

Section: Introductionmentioning

confidence: 99%

Modelling human power and endurance

Morton

1990

J. Math. Biol.

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A generalised three component hydraulic model has been proposed to represent the human bioenergetic processes relating internal energy stores to performance during exercise, and into recovery. Further development of the model allows testable predictions to be made. In particular in this paper I examine certain hypotheses of chemical fuel shortage as a subgroup of the potential causes of fatigue, and their implications for maximal power and for endurance. The assumption that the limitation to sustainable power is direct proportionality to the glycogen store remaining, appears the most feasible. Based on this assumption, equations for the decline in maximum attainable power over time, the endurance at fixed workrates and the endurance at incremental tests (as a function of the increment slope) are obtained. Using published data for fit males, the maximum exertable power declines after about 6 s at 972 W to very low levels after about 2 min. For constant powers selected between 208 and 927 W, endurance declines from ad infinitum to only 6 s. Endurance at VO2max is predicted to be about 9 min. For incremental exercise tests of slope ranging from 30 W/min to 60 W/min, endurance lessens from 14 to 9 min. In these tests the anaerobic threshold is reached in times between 6 and 3 min. Although the power at termination of a test increases with incremental slope, terminal oxygen consumption is effectively constant. Almost all these model predictions are observed to correspond well with published experimental findings. These results suggest that the model can be used to represent an adequate overview of the operation of the human bioenergetic system.

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On a model of human bioenergetics II

Cited by 10 publications

References 5 publications

Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the Margaria–Morton model

Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the Margaria–Morton model

Optimization of pacing strategies for variable wind conditions in road cycling

Modelling human power and endurance

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