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Development of a Portable Respiratory Gas Analyzer for Measuring Indirect Resting Energy Expenditure (REE)
Author(s) -
Hyo-Chang Seo,
Daehyeon Shin,
Chae Hun Leem,
Segyeong Joo
Publication year - 2021
Publication title -
journal of healthcare engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.509
H-Index - 29
eISSN - 2040-2309
pISSN - 2040-2295
DOI - 10.1155/2021/8870749
Subject(s) - exhalation , respiratory quotient , gas analyzer , resting energy expenditure , respiratory system , breath gas analysis , spectrum analyzer , gas analysis , medicine , energy expenditure , biomedical engineering , chemistry , anesthesia , computer science , environmental chemistry , telecommunications , anatomy
Objective A rapidly growing home healthcare market has resulted in the development of many portable or wearable products. Most of these products measure, estimate, or calculate physiologic signals or parameters, such as step counts, blood pressure, or electrocardiogram. One of the most important applications in home healthcare is monitoring one's metabolic state since the change of metabolic state could reveal minor or major changes in one's health condition. A simple and noninvasive way to measure metabolism is through breath monitoring. With breath monitoring by breath gas analysis, two important indicators like the respiratory quotient (RQ) and resting energy exposure (REE) can be calculated. Therefore, we developed a portable respiratory gas analyzer for breath monitoring to monitor metabolic state, and the performance of the developed device was tested in a clinical trial. Approach . The subjects consisted of 40 healthy men and women. Subjects begin to measure exhalation gas using Vmax 29 for 15 minutes. After that, subjects begin to measure exhalation gas via the developed respiratory gas analyzer. Finally, the recorded data on the volume of oxygen (VO 2 ), volume of carbon dioxide (VCO 2 ), RQ, and REE were used to validate correlations between Vmax 29 and the developed respiratory gas analyzer.Results The results showed that the root-mean-square errors (RMSE) values of VCO 2 , VO 2 , RQ, and REE are 0.0315, 0.0417, 0.504, and 0.127. Bland-Altman plots showed that most of the VCO 2 , VO 2 , RQ, and REE values are within 95% of the significance level.Conclusions We have successfully developed and tested a portable respiratory gas analyzer for home healthcare. However, there are limitations of the clinical trial; the number of subjects is small in size, and the age and race of subjects are confined. The developed portable respiratory gas analyzer is a cost-efficient method for measuring metabolic state and a new application of home healthcare.

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