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Deng, Yue

https://orcid.org/0009-0003-2329-9914

Mayo Clinic

Arizona State University

Citations 2

An Unobstructive Sensing Method for Indoor Air Quality Optimization and Metabolic Assessment within Vehicles
Deng, Yue , Sprowls, Mark , Mora, Sabrina , Kulick, Doina , Tao, Nongjian , Destaillats, Hugo , Forzani, Erica , Mora, S Jimena

Sensors | December 16, 2020 | Volume: 20 | Issue: 24 | Pages: 7202

10.3390/s20247202 Get It

This work investigates the use of an intelligent and unobstructive sensing technique for maintaining vehicle cabin’s indoor air quality while simultaneously assessing the driver metabolic rate. CO2 accumulation patterns are of great interest because CO2 can have negative cognitive effects at higher concentrations and also since CO2 accumulation rate can potentially be used to determine a person’s metabolic rate. The management of the vehicle’s ventilation system was controlled by periodically alternating the air recirculation mode within the cabin, which was actuated based on the CO2 levels inside the vehicle’s cabin. The CO2 accumulation periods were used to assess the driver’s metabolic rate, using a model that considered the vehicle’s air exchange rate. In the process of the method optimization, it was found that the vehicle’s air exchange rate (λ [h−1]) depends on the vehicle speeds, following the relationship: λ = 0.060 × (speed) − 0.88 when driving faster than 17 MPH. An accuracy level of 95% was found between the new method to assess the driver’s metabolic rate (1620 ± 140 kcal/day) and the reference method of indirect calorimetry (1550 ± 150 kcal/day) for a total of N = 16 metabolic assessments at various vehicle speeds. The new sensing method represents a novel approach for unobstructive assessment of driver metabolic rate while maintaining indoor air quality within the vehicle cabin.
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.