NDLI: Metabolic Variability Analysis Using a Mixing Chamber-Breath by Breath based Indirect Calorimeter and the Clino-Ortho Maneuver

Content Provider	IEEE Xplore Digital Library
Author	Cadena, M. Infante, O. Escalante, B. Sacristan, E. Rodriguez, F.J. Medel, L.H. Azpiroz, J.
Copyright Year	2007
Description	Author affiliation: Univ. Autonoma Metropolitana, Iztapalapa (Cadena, M.)
Abstract	This work proposes the clino-ortho maneuver to analyze the metabolic energy expenditure variability by Indirect Calorimetry (IC). This analysis uses a hybrid calorimeter which includes simultaneously the mixing- chamber (MC) and the breath by breath (BbB) IC techniques. VO2 and VCO2 short-term variability was characterized as metabolic variability in the MC technique by intra-group standard deviation averages. When the BbB technique was used the metabolic variability characterization was done by VO2 and VCO2 discrete time series power spectrum analysis in the 0-0.5 Hz band. Thus a statistical population of 17 young healthy volunteers was studied using a clino-ortho maneuver with 30-30 minutes in each position after 8 hours of fasting. The results showed an energy expenditure change of 40% in Kcal/day (p<0.01). The metabolic variability was partially significant using the MC technique while BbB total power spectrum changed from 35 to 60 for the VO2 and from 24 to 37 for the VCO2 $(ml/bth)^{2},$ (p<0.05) in the region from 0 to 0.04 Hz. It was concluded that using this new measurement technique and the clino-ortho maneuver metabolic variability information not yet studied was revealed.
Starting Page	4652
Ending Page	4655
File Size	359106
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steady-state Testing Instruments Calorimetry Measurement standards Biochemistry Energy measurement Face detection Manufacturing Frequency estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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