Algorithm to improve accuracy of energy expended in a room calorimeter.
The whole-room indirect calorimeter is considered as important equipment for human energy expenditure measurement, but noise reduction in the system remains a challenge. A selective filtering method (SFM) was designed to improve the accuracy of the computation of O2 consumption rate ([Formula: see t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1215 - 1226 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485692&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485692 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2017 vid: 55 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485692 124485692 144165018 NLM27766518 124485692 10.1007/s11517-016-1583-9 NLM27766518 124485692 ppf: 1215 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Algorithm to improve accuracy of energy expended in a room calorimeter. aug: au: Quan, Haiying Hao, Wenrui Li, Lu Sun, Ming Zhang, Kuan affil: MiniSun LLC , 935 Millcreek Drive Fresno 93720 USA sug: subj: Calorimetry Methods Oxygen Consumption Physiology Algorithms Artifacts Energy Metabolism Physiology Calorimetry Equipment and Supplies Sensitivity and Specificity Reproducibility of Results Equipment Design Equipment Failure Carbon Dioxide Metabolism Exercise Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: The whole-room indirect calorimeter is considered as important equipment for human energy expenditure measurement, but noise reduction in the system remains a challenge. A selective filtering method (SFM) was designed to improve the accuracy of the computation of O2 consumption rate ([Formula: see text]) and CO2 production rate ([Formula: see text]), based on two facts: (1) the rapid changes of [Formula: see text], [Formula: see text] and respiratory quotient (RQ) in human should be accompanied by physical activity; (2) the oxygen consumption and the carbon dioxide production should not be negative because living humans do not generate oxygen, nor consume carbon dioxide. The performance of SFM was compared with the moving average method, the central difference method and the wavelet de-noising method. The range of [Formula: see text] and [Formula: see text] in the empty room (the background noise) is reduced from -130.00-146.00 ml/min to -26.00-24.00 ml/min, and from -20.50-12.50 ml/min to -3.99-4.19 ml/min, by SFM. The background noise was added to simulated rectangular and sinusoidal signals that were used to evaluate the four methods over different time periods (64, 32, 16 and 8 min). The highest signal-to-noise ratio and the lowest deviation were achieved by SFM. Abnormal metabolic rates and RQs were corrected and compensated with measurement accuracy of 98.51 ± 0.3 % for 24-h alcohol burning tests. The results of the study showed that SFM can significantly improve [Formula: see text] and [Formula: see text] measurements. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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