A system for contact free energy expenditure assessment under free-living conditions: monitoring metabolism for weight loss using carbon dioxide emission

被引:3
|
作者
Sprowls, Mark [1 ,2 ]
Victor, Shaun [1 ,2 ]
Serhan, Michael [1 ,2 ]
Destaillats, Hugo [3 ]
Wheatley-Guy, Courtney [4 ]
Johnson, Bruce [4 ]
Kulick, Doina [4 ]
Forzani, Erica [1 ,2 ]
机构
[1] Arizona State Univ, Sch Engn Matter Transport & Energy, Tempe, AZ 85281 USA
[2] Arizona State Univ, Biodesign Inst, Ctr Bioelect & Biosensors, Tempe, AZ 85281 USA
[3] Lawrence Berkeley Natl Lab, Indoor Environm Grp, Berkeley, CA USA
[4] Mayo Clin, Scottsdale, AZ 85259 USA
关键词
ambient biometrics; point of care; minimally invasive biomedical diagnostic; smart home biosensor; internet of things (IoT); INDIRECT CALORIMETRY; MENTAL STRESS; SLEEP-DEPRIVATION; PHYSICAL-ACTIVITY; BALANCE; EQUATION; HUMANS; DIET;
D O I
10.1088/1752-7163/abd52f
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Weight disorders are strikingly prevalent globally and can contribute to a wide array of potentially fatal diseases spanning from type II diabetes to coronary heart disease. These disorders have a common cause: poor calorie balance. Since energy expenditure (EE) (kcal d(-1)) constitutes one half of the calorie balance equation (the other half being food intake), its measurement could be of great value to those suffering from weight disorders. A technique for contact free assessment of EE is presented, which only relies on CO2 concentration monitoring within a sealed office space, and assessment of carbon dioxide production rate (VCO2). Twenty healthy subjects were tested in a cross-sectional study to evaluate the performance of the aforementioned technique in measuring both resting EE (REE) and exercise EE using the proposed system (the 'SmartPad') and a U.S. Food and Drug Administration (FDA) cleared gold standard reference instrument for EE measurement. For VCO2 and EE measurements, the method showed a correlation slope of 1.00 and 1.03 with regression coefficients of 0.99 and 0.99, respectively, and Bland-Altman plots with a mean bias = -0.232% with respect to the reference instrument. Furthermore, two subjects were also tested as part of a proof-of-concept longitudinal study where EE patterns were simultaneously tracked with body weight, sleep, stress, and step counts using a smartwatch over the course of a month, to determine correlation between the aforementioned parameters and EE. Analysis revealed moderately high correlation coefficients (Pearson's r) for stress (r(average) = 0.609) and body weight (r(average) = 0.597) for the two subjects. The new SmartPad method was demonstrated to be a promising technique for EE measurement under free-living conditions.
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页数:11
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