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2010, Number 1

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Rev Mex Ing Biomed 2010; 31 (1)

Lactic acid modelling during ischemia in high performance athletes

Leminszka MA, Dieck-Assad G, Martínez SO, Garza JE
Full text How to cite this article

Language: Spanish
References: 14
Page: 57-72
PDF size: 729.86 Kb.


Key words:

Lactic acid, ischaemia, lactate.

ABSTRACT

The following article proposes a dynamic model to measure lactic acid for high performance athletes in ischaemia, in other words, when there is a blood flow reduction (source of oxygen). An introduction to the lactate regulation in ischaemia is presented to describe the parameters involved in the dynamic modeling. The results indicate that the dynamic model predicts effectively the amount of lactate in physical tests performed to three athletes. When comparing the model results with samples of blood measurements from an electronic analyzer, the dynamic model obtains an maximum efficiency (accuracy) of 96.46% having an error range between 3.5% to 11.8%. Those results improve the predictions from an ideal model, where an efficiency of 90.61% is obtained. The efficiencies are indicative of how close the model can be to measurements performed by an electronic blood sample analyzer device.


REFERENCES

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  2. Janssen P. Technical Report, Training Lactate Pulse-Rate, Finlandia: Enero 1989.

  3. Zhou L, Stanley WC, Saidel GM, Yu X, Cabrera ME. Regulation of lactate production at the onset of ischaemia is independent of mitochondrial NADH/NAD+: insights from in silico studies. The Journal of Physiology 2005; 569: 925-937. Abstract disponible: http://jp.physoc.org/cgi/content/abstract/jphysiol.2005.093146v1.

  4. McKee T, McKee JR, McKee T, McKee JR. Bioquímica, la base molecular de la vida, Mc Graw-Hill (España), Tercera edición, 2003.

  5. Vázquez-Contreras E. Reporte Técnico, Precursores Gluconeogénicos. Bioquímica y Biología Molecular en Línea, Comité asesor de publicaciones, Facultad de Medicina e Instituto de Química, UNAM, Octubre 2003. [Online]. Disponible en: http://laguna.fmedic.unam.mx/~evazquez/0403/sustratos%20gluconeogenesis1.html.

  6. Marco F. Gluconeogénesis. Universidad Valencia, Departamento de Bioquímica y Biología Molecular, 2006. [Online]. Disponible en: http://www.uv.es/marcof/Tema17.pdf.

  7. Domach MM. Introduction to Biomedical Engineering, Pearson Prentice Hall, 2004.

  8. Janssen P. Technical Report. Lactate Threshold Training. USA: 2001.

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  10. Ben S. Technical Report, “VO2Max - a Measure of Athletic Fitness. bbc.co.uk, Enero de 2002. [Online]. Disponible en: http://www.bbc.co.uk/dna/h2g2/A660223.

  11. Seiler S. Technical report. Maximal Oxygen Consumption- The VO2Max, 2005. [Online]. Disponible en: http://home.hia.no/~stephens/vo2max.htm.

  12. Hernández-Cortés R, Cebrián G, Fernández-Ruiz A, Ruiz-Cabello Jiménez Mª A. Technical Report. Patología de la Altitud. UNINET, 2006. [Online]. Disponible en: http://www.uninet.edu/tratado/c090502.html.

  13. Litebol SRL. Technical Report. Tabla de conversiones Internacionales de Pesos, Volúmenes, Líquidos, Longitudes, Superficies y Temperaturas. Línea Terrestre Boliviana, Santa Cruz Bolivia, 2004. [Online]. Disponible en: http://www.litebol.com/imagenes/informacion/conversiones/conversiones.htm.

  14. Lactate.com, Technical Report, “Lactate Testing -Basic Concepts”, Diciembre 30, 1998. [Online]. Disponible en: http://www.lactate.com/pitesbas.html. 1998.




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C?MO CITAR (Vancouver)

Rev Mex Ing Biomed. 2010;31