A simple model implementation to measure breath by breath the VO2 and VCO2 by the indirect calorimetry technique


Por: Cadena M., Sacristan E., Infante O., Rodriguez F., Escalante B., Pérez P., Azpiroz J.

Publicada: 1 ene 2006
Resumen:
This paper proposes a discrete random time series modeling for the VO2 and VCO2 measurement in the Indirect Calorimetry Technique (ICT). Mathematical equations are developed in order to establish clear differences between the breath-by-breath and mixing chamber measurement based calorimeters. This simple model offers not only a physiological ICT definition approach but also defines the idea of VO2 and VCO2 short-term variability information for research. The preliminary results show a new physiological information when a computer oriented algorithm model implementation was applied to a data acquisition system in order to obtain the power spectrum analysis from a typical observation subject submitted to the clino-ortho maneuver. © 2006 IEEE.

Filiaciones:
Cadena M.:
 Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico

 Department of Electrical Engineering, DEPFI, Universidad Nacional Autonoma de Mexico, Mexico

Sacristan E.:
 Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico

Infante O.:
 Department of Electromechanical Instrumentation, Instituto Nacional de Cardiologia, Ignacio Chavez, Mexico

Rodriguez F.:
 Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico

Escalante B.:
 Department of Electrical Engineering, DEPFI, Universidad Nacional Autonoma de Mexico, Mexico

Pérez P.:
 Department of Electrical Engineering, DEPFI, Universidad Nacional Autonoma de Mexico, Mexico

Azpiroz J.:
 Department of Electrical Engineering, Universidad Autonoma Metropolitana, Iztapalapa, Mexico
ISSN: 05891019
Editorial
Alliance for Engineering in Medicine & Biology, Bethesda, MD, USA, 345 E 47TH ST, NEW YORK, NY 10017 USA, Estados Unidos America
Tipo de documento: Conference Paper
Volumen: Número:
Páginas: 5084-5087
ID de PubMed: 17946672