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Forzani, Erica

https://orcid.org/0000-0003-2407-8251

Mayo Clinic

University of Arizona

Citations 22

Evaluation of a Thermal-Based Flow Meter for Assessment of Mobile Resting Metabolic Rate Measures
Liu, Nai-Yuan , Deng, Yue , Tsow, Francis , Bridgeman, Devon, Dean, Jane J., Wilson, Janet, Tao, Nongjian , Kulick, Doina , Forzani, Erica , Forzani, Erica S , Xian, Xiaojun , Wilson, Janet L.

Journal of Sensors | October 9, 2018 | Volume: 2018 | Issue: No issue available | Pages: 1-8

10.1155/2018/9186475 Get It

This work evaluates the use of a new flow meter to assess exhalation rate. A mobile indirect calorimeter (MIC) was designed and used to measure resting metabolic rate (RMR), which relies on the measure of O2 consumption rate (VO2) and CO2 production rate (VCO2). The device was produced from a commercially available and well-established indirect calorimeter and implemented with a new flow meter for the purpose of this study. VO2 and VCO2 were assessed by measuring exhalation rates using the new flow meter and O2 and CO2 concentrations in breath using the original colorimetric sensors of the indirect calorimeter. The new flow meter was based on a thermal flow meter (TFM) affixed to an orifice with a diameter of 6.8 mm used as a passage for exhaled breath from 16 subjects. The results were compared with a metabolic cart (Medical Graphics), which was connected in series to the modified device. We found that 69% of the results had more than a 10% difference between the modified MIC device and the reference instrument, suggesting that the sensitivity of the thermal flow meter changed over time, which precluded its use as a flow meter for breath flow rate measurement.
Assessing metabolic rate and indoor air quality with passive environmental sensors
Sprowls, Mark , Deng, Yue , Kulick, Doina , Destaillats, Hugo , Forzani, Erica , Deng, Yue , Forzani, Erica S , Ruiz, Iván

Journal of Breath Research | February 13, 2018 | Volume: 12 | Issue: 3 | Pages: 036012

10.1088/1752-7163/aaaec9 Get It

Abstract The present work introduces the use of environmental sensors to assess indoor air quality (IAQ) in combination with human biometrics. The sensor array included temperature, relative humidity, carbon dioxide, and noise monitors. The array was used in a classroom as well as in a vehicle cabin to assess the carbon dioxide production rate of individuals in a closed ventilation environment. Analysis of carbon dioxide production allowed for the quantification of the average metabolic rate of the group of individuals in the classroom, and for one individual in the vehicle cabin. These results yielded a mere 5% difference from the values assessed using commercial metabolic rate instruments, and averaged values from epidemiological studies. The results presented in this work verify the feasibility of determining an individual’s metabolic rate using passive environmental sensors; these same sensors are able to provide a metric of IAQ that helps characterize the safety of the environment in which the individual is present.