• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

三种基于加速度计的设备用于估计成人和脑瘫儿童能量消耗的比较。

A comparison of three accelerometry-based devices for estimating energy expenditure in adults and children with cerebral palsy.

作者信息

Ryan Jennifer M, Walsh Michael, Gormley John

机构信息

School of Medicine, Trinity College Dublin, Dublin, Ireland.

出版信息

J Neuroeng Rehabil. 2014 Aug 5;11:116. doi: 10.1186/1743-0003-11-116.

DOI:10.1186/1743-0003-11-116
PMID:25097005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4237874/
Abstract

BACKGROUND

Advanced accelerometry-based devices have the potential to improve the measurement of everyday energy expenditure (EE) in people with cerebral palsy (CP). The aim of this study was to investigate the ability of two such devices (the Sensewear ProArmband and the Intelligent Device for Energy Expenditure and Activity) and the ability of a traditional accelerometer (the RT3) to estimate EE in adults and children with CP.

METHODS

Adults (n = 18; age 31.9 ± 9.5 yr) and children (n = 18; age 11.4 ± 3.2 yr) with CP (GMFCS levels I-III) participated in this study. Oxygen uptake, measured by the Oxycon Mobile portable indirect calorimeter, was converted into EE using Weir's equation and used as the criterion measure. Participants' EE was measured simultaneously with the indirect calorimeter and three accelerometers while they rested for 10 minutes in a supine position, walked overground at a maximal effort for 6 minutes, and completed four treadmill activities for 5 minutes each at speeds of 1.0 km.h⁻¹, 1.0 km.h⁻¹ at 5% incline, 2.0 km.h⁻¹, and 4.0 km.h⁻¹.

RESULTS

In adults the mean absolute percentage error was smallest for the IDEEA, ranging from 8.4% to 24.5% for individual activities (mean 16.3%). In children the mean absolute percentage error was smallest for the SWA, ranging from 0.9% to 23.0% for individual activities (mean 12.4%). Limits of agreement revealed that the RT3 provided the best agreement with the indirect calorimeter for adults and children. The upper and lower limits of agreement for adults were 3.18 kcal.min⁻¹ (95% CI = 2.66 to 3.70 kcal.min⁻¹) and -2.47 kcal.min⁻¹ (95% CI = -1.95 to -3.00 kcal.min⁻¹), respectively. For children, the upper and lower limits of agreement were 1.91 kcal.min⁻¹ (1.64 to 2.19 kcal.min⁻¹) and -0.92 kcal.min⁻¹ (95% CI = -1.20 to -0.64 kcal.min⁻¹) respectively. These limits of agreement represent -67.2% to 86.3% of mean EE for adults and -36.5% to 76.3% of mean EE for children, respectively.

CONCLUSIONS

Although the RT3 provided the best agreement with the indirect calorimeter the RT3 could significantly overestimate or underestimate individual estimates of EE. The development of CP-specific algorithms may improve the ability of these devices to estimate EE in this population.

摘要

背景

基于先进加速度测量技术的设备有潜力改善对脑瘫(CP)患者日常能量消耗(EE)的测量。本研究的目的是调查两种此类设备(Sensewear Pro臂带和能量消耗与活动智能设备)以及传统加速度计(RT3)估计CP成人和儿童EE的能力。

方法

患有CP(GMFCS分级I - III级)的成人(n = 18;年龄31.9±9.5岁)和儿童(n = 18;年龄11.4±3.2岁)参与了本研究。通过Oxycon Mobile便携式间接测热仪测量的摄氧量,使用韦尔方程转换为EE,并用作标准测量值。在参与者仰卧休息10分钟、以最大努力在平地上行走6分钟以及在跑步机上以1.0 km.h⁻¹、1.0 km.h⁻¹且坡度为5%、2.0 km.h⁻¹和4.0 km.h⁻¹的速度分别完成四项5分钟的活动时,同时使用间接测热仪和三种加速度计测量他们的EE。

结果

在成人中,IDEEA的平均绝对百分比误差最小,个体活动的误差范围为8.4%至24.5%(平均16.3%)。在儿童中,SWA的平均绝对百分比误差最小,个体活动的误差范围为0.9%至23.0%(平均12.4%)。一致性界限表明,RT3与成人和儿童的间接测热仪一致性最佳。成人的一致性上限和下限分别为3.18 kcal.min⁻¹(95% CI = 2.66至3.70 kcal.min⁻¹)和 -2.47 kcal.min⁻¹(95% CI = -1.95至 -3.00 kcal.min⁻¹)。对于儿童,一致性上限和下限分别为1.91 kcal.min⁻¹(1.64至2.19 kcal.min⁻¹)和 -0.92 kcal.min⁻¹(95% CI = -1.20至 -0.64 kcal.min⁻¹)。这些一致性界限分别占成人平均EE的 -67.2%至86.3%和儿童平均EE的 -36.5%至76.3%。

结论

尽管RT3与间接测热仪的一致性最佳,但RT3可能会显著高估或低估EE的个体估计值。开发针对CP的特定算法可能会提高这些设备在该人群中估计EE的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/18cf51315f83/1743-0003-11-116-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/536d46bdbc70/1743-0003-11-116-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/f1554a012ef0/1743-0003-11-116-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/18cf51315f83/1743-0003-11-116-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/536d46bdbc70/1743-0003-11-116-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/f1554a012ef0/1743-0003-11-116-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ae/4237874/18cf51315f83/1743-0003-11-116-3.jpg

相似文献

1
A comparison of three accelerometry-based devices for estimating energy expenditure in adults and children with cerebral palsy.三种基于加速度计的设备用于估计成人和脑瘫儿童能量消耗的比较。
J Neuroeng Rehabil. 2014 Aug 5;11:116. doi: 10.1186/1743-0003-11-116.
2
An evaluation of energy expenditure estimation by three activity monitors.三种活动监测器的能量消耗估计评估。
Eur J Sport Sci. 2013;13(6):681-8. doi: 10.1080/17461391.2013.776639. Epub 2013 Mar 8.
3
A comparison of energy expenditure estimation of several physical activity monitors.几种运动监测器的能量消耗估计比较。
Med Sci Sports Exerc. 2013 Nov;45(11):2105-12. doi: 10.1249/MSS.0b013e318299d2eb.
4
Validity of a multisensor armband in estimating 24-h energy expenditure in children.多传感器臂带在估算儿童24小时能量消耗中的有效性。
Med Sci Sports Exerc. 2008 Apr;40(4):699-706. doi: 10.1249/MSS.0b013e318161ea8f.
5
Accuracy of the Multisensory Wristwatch Polar Vantage's Estimation of Energy Expenditure in Various Activities: Instrument Validation Study.多传感器腕戴式 Polar Vantage 表在各种活动中估算能量消耗的准确性:仪器验证研究。
JMIR Mhealth Uhealth. 2019 Oct 2;7(10):e14534. doi: 10.2196/14534.
6
Validity of the SenseWear® Armband to predict energy expenditure in pregnant women.《SenseWear® 臂带预测孕妇能量消耗的有效性》。
Med Sci Sports Exerc. 2012 Oct;44(10):2001-8. doi: 10.1249/MSS.0b013e31825ce76f.
7
Accuracy of Consumer Monitors for Estimating Energy Expenditure and Activity Type.用于估计能量消耗和活动类型的消费级监测器的准确性。
Med Sci Sports Exerc. 2017 Feb;49(2):371-377. doi: 10.1249/MSS.0000000000001090.
8
Evaluation of the SenseWear activity monitor during exercise in cystic fibrosis and in health.在囊性纤维化患者和健康人群运动期间对SenseWear活动监测仪的评估。
Respir Med. 2009 Oct;103(10):1511-7. doi: 10.1016/j.rmed.2009.04.013. Epub 2009 May 23.
9
Measuring energy expenditure in community-dwelling older adults: are portable methods valid and acceptable?测量社区居住老年人的能量消耗:便携式方法是否有效且可接受?
J Am Diet Assoc. 2008 Mar;108(3):544-8. doi: 10.1016/j.jada.2007.12.012.
10
Validity of SenseWear® Armband v5.2 and v2.2 for estimating energy expenditure.SenseWear® 臂带v5.2和v2.2用于估计能量消耗的有效性。
J Sports Sci. 2016 Oct;34(19):1830-8. doi: 10.1080/02640414.2016.1140220. Epub 2016 Feb 8.

引用本文的文献

1
Physical Activity Monitoring in Patients with Neurological Disorders: A Review of Novel Body-Worn Devices.神经系统疾病患者的身体活动监测:新型可穿戴设备综述
Digit Biomark. 2017 Jun 12;1(1):14-42. doi: 10.1159/000477384. eCollection 2017 Sep-Dec.
2
Reliability and Validity of Objective Measures of Physical Activity in Youth With Cerebral Palsy Who Are Ambulatory.患有脑瘫的能行走青少年身体活动客观测量指标的信度和效度
Phys Ther. 2016 Jan;96(1):37-45. doi: 10.2522/ptj.20140201. Epub 2015 Jun 18.

本文引用的文献

1
An evaluation of energy expenditure estimation by three activity monitors.三种活动监测器的能量消耗估计评估。
Eur J Sport Sci. 2013;13(6):681-8. doi: 10.1080/17461391.2013.776639. Epub 2013 Mar 8.
2
Physical strain of walking relates to activity level in adults with cerebral palsy.成年人脑瘫患者行走的体力消耗与活动水平有关。
Arch Phys Med Rehabil. 2013 May;94(5):896-901. doi: 10.1016/j.apmr.2012.11.005. Epub 2012 Nov 10.
3
SenseWear Armband and Stroke: Validity of Energy Expenditure and Step Count Measurement during Walking.
体动感应臂带与中风:步行过程中能量消耗和步数测量的有效性
Stroke Res Treat. 2012;2012:247165. doi: 10.1155/2012/247165. Epub 2012 Oct 11.
4
Comparative validity of accelerometer-based measures of physical activity for people with multiple sclerosis.基于加速度计的身体活动测量方法在多发性硬化症患者中的比较有效性。
Arch Phys Med Rehabil. 2012 Nov;93(11):2022-8. doi: 10.1016/j.apmr.2012.05.010. Epub 2012 May 23.
5
Evaluation of energy expenditure in children with cerebral palsy using a multi-sensor accelerometer.使用多传感器加速度计评估脑瘫患儿的能量消耗。
J Sports Med Phys Fitness. 2011 Sep;51(3):506-14.
6
Assessing physical activity and its relationship to cardiovascular risk factors: NHANES 2003-2006.评估体力活动及其与心血管危险因素的关系:NHANES 2003-2006。
BMC Public Health. 2011 May 25;11:387. doi: 10.1186/1471-2458-11-387.
7
Arm swing during walking at different speeds in children with Cerebral Palsy and typically developing children.脑瘫儿童与正常发育儿童在不同步行速度下的手臂摆动。
Res Dev Disabil. 2011 Sep-Oct;32(5):1957-64. doi: 10.1016/j.ridd.2011.03.029. Epub 2011 May 4.
8
Validity of accelerometry in ambulatory children and adolescents with cerebral palsy.加速度计在脑瘫的活动儿童和青少年中的有效性。
Eur J Appl Physiol. 2011 Dec;111(12):2951-9. doi: 10.1007/s00421-011-1915-2. Epub 2011 Mar 26.
9
Measurement of habitual physical activity performance in adolescents with cerebral palsy: a systematic review.测量脑瘫青少年习惯性体力活动表现的方法:系统评价。
Dev Med Child Neurol. 2011 Jun;53(6):499-505. doi: 10.1111/j.1469-8749.2010.03910.x. Epub 2011 Mar 21.
10
Physical strain of comfortable walking in children with mild cerebral palsy.儿童轻度脑瘫患者舒适步行的体力消耗。
Disabil Rehabil. 2011;33(15-16):1351-7. doi: 10.3109/09638288.2010.531374. Epub 2010 Nov 13.