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Modelling Heart Rate Kinetics

Overview of attention for article published in PLOS ONE, April 2015
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Title
Modelling Heart Rate Kinetics
Published in
PLOS ONE, April 2015
DOI 10.1371/journal.pone.0118263
Pubmed ID
Authors

Maria S. Zakynthinaki

Abstract

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 movement (exercise). Based on an existing model, a system of two coupled differential equations which give the rate of change of heart rate and the rate of change of exercise intensity is used. The modifications introduced to the existing model are justified and discussed in detail, while models of blood lactate accumulation in respect to time and exercise intensity are also presented. The main modification is that the proposed model has now only one parameter which reflects the overall cardiovascular condition of the individual. The time elapsed after the beginning of the exercise, the intensity of the exercise, as well as blood lactate are also taken into account. Application of the model provides information regarding the individual's cardiovascular condition and is able to detect possible changes in it, across the data recording periods. To demonstrate examples of successful numerical fit of the model, constant intensity experimental heart rate data sets of two individuals have been selected and numerical optimization was implemented. In addition, numerical simulations provided predictions for various exercise intensities and various cardiovascular condition levels. The proposed model can serve as a powerful tool for a complete means of heart rate analysis, not only in exercise physiology (for efficiently designing training sessions for healthy subjects) but also in the areas of cardiovascular health and rehabilitation (including application in population groups for which direct heart rate recordings at intense exercises are not possible or not allowed, such as elderly or pregnant women).

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The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 19%
Student > Ph. D. Student 19 18%
Student > Bachelor 17 16%
Researcher 10 9%
Student > Doctoral Student 7 6%
Other 10 9%
Unknown 25 23%
Readers by discipline Count As %
Sports and Recreations 24 22%
Engineering 15 14%
Nursing and Health Professions 8 7%
Agricultural and Biological Sciences 7 6%
Medicine and Dentistry 6 6%
Other 19 18%
Unknown 29 27%