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A Smart System for the Contactless Measurement of Energy Expenditure.

Authors :
Sprowls M
Victor S
Mora SJ
Osorio O
Pyznar G
Destaillats H
Wheatley-Guy C
Johnson B
Kulick D
Forzani E
Source :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 10; Vol. 22 (4). Date of Electronic Publication: 2022 Feb 10.
Publication Year :
2022

Abstract

Energy Expenditure (EE) (kcal/day), a key element to guide obesity treatment, is measured from CO <subscript>2</subscript> production, VCO <subscript>2</subscript> (mL/min), and/or O <subscript>2</subscript> consumption, VO <subscript>2</subscript> (mL/min). Current technologies are limited due to the requirement of wearable facial accessories. A novel system, the Smart Pad, which measures EE via VCO <subscript>2</subscript> from a room's ambient CO <subscript>2</subscript> concentration transients was evaluated. Resting EE (REE) and exercise VCO <subscript>2</subscript> measurements were recorded using Smart Pad and a reference instrument to study measurement duration's influence on accuracy. The Smart Pad displayed 90% accuracy (±1 SD) for 14-19 min of REE measurement and for 4.8-7.0 min of exercise, using known room's air exchange rate. Additionally, the Smart Pad was validated measuring subjects with a wide range of body mass indexes (BMI = 18.8 to 31.4 kg/m <superscript>2</superscript> ), successfully validating the system accuracy across REE's measures of ~1200 to ~3000 kcal/day. Furthermore, high correlation between subjects' VCO <subscript>2</subscript> and λ for CO <subscript>2</subscript> accumulation was observed ( p < 0.00001, R = 0.785) in a 14.0 m <superscript>3</superscript> sized room. This finding led to development of a new model for REE measurement from ambient CO <subscript>2</subscript> without λ calibration using a reference instrument. The model correlated in nearly 100% agreement with reference instrument measures ( y = 1.06 x , R = 0.937) using an independent dataset (N = 56).

Details

Language :
English
ISSN :
1424-8220
Volume :
22
Issue :
4
Database :
MEDLINE
Journal :
Sensors (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
35214262
Full Text :
https://doi.org/10.3390/s22041355