School of Engineering for Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85281, United States of America.
Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85281, United States of America.
J Breath Res. 2021 Jan 22;15(2). doi: 10.1088/1752-7163/abd52f.
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) 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 COconcentration monitoring within a sealed office space, and assessment of carbon dioxide production rate (VCO). 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 VCOand 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) for stress (= 0.609) and body weight (= 0.597) for the two subjects. The new SmartPad method was demonstrated to be a promising technique for EE measurement under free-living conditions.
体重紊乱在全球范围内非常普遍,可能会导致一系列潜在致命疾病,从 II 型糖尿病到冠心病。这些紊乱有一个共同的原因:热量摄入和消耗不平衡。由于能量消耗(EE)(千卡/天)构成了热量平衡方程的一半(另一半是食物摄入),因此对患有体重紊乱的人来说,测量 EE 可能具有重要意义。本文提出了一种非接触式评估 EE 的技术,该技术仅依赖于密封办公空间内的 CO 浓度监测和二氧化碳产生率(VCO)的评估。在一项横断面研究中,对 20 名健康受试者进行了测试,以评估上述技术在使用提出的系统(“SmartPad”)和美国食品和药物管理局(FDA)批准的 EE 测量金标准参考仪器测量静息 EE(REE)和运动 EE 方面的性能。对于 VCO 和 EE 测量,该方法的相关斜率分别为 1.00 和 1.03,回归系数分别为 0.99 和 0.99,Bland-Altman 图的平均偏差相对于参考仪器为-0.232%。此外,还对两名受试者进行了测试,作为概念验证性纵向研究的一部分,使用智能手表在一个月的时间内同时跟踪 EE 模式、体重、睡眠、压力和步数,以确定上述参数与 EE 之间的相关性。分析显示,两名受试者的压力(=0.609)和体重(=0.597)的相关系数(Pearson's)较高。新的 SmartPad 方法被证明是一种有前途的自由生活条件下 EE 测量技术。