Suppr超能文献

基于加速度计的耳机,用于监测和量化身体活动。

An accelerometer-based earpiece to monitor and quantify physical activity.

机构信息

Endocrine Research Unit, Mayo Clinic, Rochester, MN, USA.

出版信息

J Phys Act Health. 2009 Nov;6(6):781-9. doi: 10.1123/jpah.6.6.781.

Abstract

BACKGROUND

Physical activity is important in ill-health. Inexpensive, accurate and precise devices could help assess daily activity. We integrated novel activity-sensing technology into an earpiece used with portable music-players and phones; the physical-activity-sensing earpiece (PASE). Here we examined whether the PASE could accurately and precisely detect physical activity and measure its intensity and thence predict energy expenditure.

METHODS

Experiment 1: 18 subjects wore PASE with different body postures and during graded walking. Energy expenditure was measured using indirect calorimetry. Experiment 2: 8 subjects wore the earpiece and walked a known distance. Experiment 3: 8 subjects wore the earpiece and 'jogged' at 3.5 mph.

RESULTS

The earpiece correctly distinguished lying from sitting/standing and distinguished standing still from walking (76/76 cases). PASE output showed excellent sequential increases with increased in walking velocity and energy expenditure (r2 > .9). The PASE prediction of free-living walking velocity was, 2.5 +/- (SD) 0.18 mph c.f. actual velocity, 2.5 +/- 0.16 mph. The earpiece successfully distinguished walking at 3.5 mph from 'jogging' at the same velocity (P < .001).

CONCLUSIONS

The subjects tolerated the earpiece well and were comfortable wearing it. The PASE can therefore be used to reliably monitor free-living physical activity and its associated energy expenditure.

摘要

背景

身体活动对健康很重要。便宜、准确和精确的设备可以帮助评估日常活动。我们将新型活动感应技术集成到一个与便携式音乐播放器和手机一起使用的耳机中;这个活动感应耳机(PASE)。在这里,我们研究了 PASE 是否能够准确和精确地检测身体活动,测量其强度,并预测能量消耗。

方法

实验 1:18 名受试者佩戴 PASE 并处于不同的身体姿势,同时进行分级步行。使用间接测热法测量能量消耗。实验 2:8 名受试者佩戴耳机并走已知距离。实验 3:8 名受试者佩戴耳机并以 3.5 英里/小时的速度“慢跑”。

结果

耳机正确地区分了躺着和坐着/站着,以及静止站着和行走(76/76 例)。PASE 的输出显示出与步行速度和能量消耗的优异的顺序增加(r2>.9)。PASE 对自由行走速度的预测为 2.5 +/-(SD)0.18 英里/小时,实际速度为 2.5 +/- 0.16 英里/小时。耳机成功地区分了 3.5 英里/小时的步行和相同速度的“慢跑”(P <.001)。

结论

受试者对耳机的耐受性良好,佩戴舒适。因此,PASE 可以可靠地监测自由生活中的身体活动及其相关的能量消耗。

相似文献

2
Tracmor system for measuring walking energy expenditure.用于测量步行能量消耗的Tracmor系统。
Eur J Clin Nutr. 2003 Sep;57(9):1176-80. doi: 10.1038/sj.ejcn.1601673.

本文引用的文献

1
A new 2-regression model for the Actical accelerometer.针对Actical加速度计的一种新的二元回归模型。
Br J Sports Med. 2008 Mar;42(3):217-24. doi: 10.1136/bjsm.2006.033399. Epub 2007 Aug 30.
2
Nonexercise movement in elderly compared with young people.老年人与年轻人的非运动性活动比较。
Am J Physiol Endocrinol Metab. 2007 Apr;292(4):E1207-12. doi: 10.1152/ajpendo.00509.2006.
3
Estimating energy expenditure using accelerometers.使用加速度计估算能量消耗。
Eur J Appl Physiol. 2006 Dec;98(6):601-12. doi: 10.1007/s00421-006-0307-5. Epub 2006 Oct 21.
6
Indirect calorimetry: methodology, instruments and clinical application.间接测热法:方法、仪器及临床应用
Curr Opin Clin Nutr Metab Care. 2006 May;9(3):247-56. doi: 10.1097/01.mco.0000222107.15548.f5.
7
A novel method for using accelerometer data to predict energy expenditure.一种利用加速度计数据预测能量消耗的新方法。
J Appl Physiol (1985). 2006 Apr;100(4):1324-31. doi: 10.1152/japplphysiol.00818.2005. Epub 2005 Dec 1.
9
10
Profile of physical activity levels in community-dwelling older adults.社区居住老年人身体活动水平概况。
Med Sci Sports Exerc. 2005 Oct;37(10):1774-84. doi: 10.1249/01.mss.0000181303.51937.9c.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验