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Validated caloric expenditure estimation using a single body-worn sensor

机译:使用单个穿戴式传感器的经过验证的热量支出估算

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In 2007, approximately 30% of US adults were obese, with related health care costs exceeding 100 billion dollars. Clearly, the obesity epidemic represents a growing societal concern. One challenge in weight control is the difficulty of tracking food calories consumed and calories expended by activity. This paper presents a system for automatic monitoring of calories expended using a single body-worn accelerometer. Our system uses activity inference combined with signal analysis to estimate calories expended in real-time using regression formulas developed by the American College of Sports Medicine. To validate our system, we have collected data from 51 subjects in a laboratory setting using a treadmill and a more natural field test. Actual caloric expenditure was determined using the medical "gold standard" measurement, of oxygen consumption. We are able to achieve 89% accuracy with lab data and 79% with field data -- both high enough to be useful in practice.
机译:2007年,约30%的美国成年人肥胖,相关的医疗保健费用超过1000亿美元。显然,肥胖流行代表着越来越多的社会关注。体重控制中的一项挑战是难以追踪食物所消耗的卡路里和运动所消耗的卡路里。本文提出了一种使用单次穿戴式加速度计自动监测消耗的卡路里的系统。我们的系统将活动推断与信号分析结合起来,使用美国运动医学学院开发的回归公式实时估算消耗的卡路里。为了验证我们的系统,我们在实验室环境中使用跑步机和更自然的现场测试从51位受试者中收集了数据。实际的热量消耗是使用医学上的“黄金标准”氧气消耗量来确定的。利用实验室数据,我们能够达到89%的准确度;对于现场数据,我们能够达到79%的准确度-两者都足够高,可以在实践中使用。

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