• 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

相似文献

1
Evaluation of the Accuracy of a Triaxial Accelerometer Embedded into a Cell Phone Platform for Measuring Physical Activity.评估嵌入手机平台用于测量身体活动的三轴加速度计的准确性。
J Obes Weight Loss Ther. 2011 Dec 20;1(106). doi: 10.4172/2165-7904.1000106.
2
Comparison of Students' Physical Activity at Different Times and Establishment of a Regression Model for Smart Fitness Trackers.不同时段学生身体活动情况比较及智能健身追踪器回归模型的建立
Sensors (Basel). 2025 Mar 11;25(6):1726. doi: 10.3390/s25061726.
3
Assessment of energy expenditure for physical activity using a triaxial accelerometer.使用三轴加速度计评估身体活动的能量消耗。
Med Sci Sports Exerc. 1994 Dec;26(12):1516-23.
4
An accelerometer-based earpiece to monitor and quantify physical activity.基于加速度计的耳机,用于监测和量化身体活动。
J Phys Act Health. 2009 Nov;6(6):781-9. doi: 10.1123/jpah.6.6.781.
5
Estimation of physical activity levels using cell phone questionnaires: a comparison with accelerometry for evaluation of between-subject and within-subject variations.使用手机问卷评估身体活动水平:与加速度计在评估受试者间和受试者内差异方面的比较。
J Med Internet Res. 2011 Sep 25;13(3):e70. doi: 10.2196/jmir.1686.
6
Validation of the Tracmor triaxial accelerometer system for walking.用于步行的Tracmor三轴加速度计系统的验证
Med Sci Sports Exerc. 2001 Sep;33(9):1593-7. doi: 10.1097/00005768-200109000-00024.
7
Validity study of a triaxial accelerometer for measuring energy expenditure in stroke inpatients of a physical medicine and rehabilitation center.一种三轴加速度计测量物理医学与康复中心中风住院患者能量消耗的有效性研究。
Top Stroke Rehabil. 2023 May;30(4):402-409. doi: 10.1080/10749357.2022.2058292. Epub 2022 Apr 6.
8
Validity of the Samsung Phone S Health application for assessing steps and energy expenditure during walking and running: Does phone placement matter?三星手机S健康应用程序用于评估步行和跑步时步数及能量消耗的有效性:手机放置位置有影响吗?
Digit Health. 2016 Jun 14;2:2055207616652747. doi: 10.1177/2055207616652747. eCollection 2016 Jan-Dec.
9
Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study.腕戴式活动追踪器在慢性疼痛患者的实验室和自由生活环境中的应用:效标效度研究。
JMIR Mhealth Uhealth. 2021 Jan 12;9(1):e24806. doi: 10.2196/24806.
10
Wrist-worn triaxial accelerometry predicts the energy expenditure of non-vigorous daily physical activities.腕部佩戴的三轴加速度计可预测非剧烈日常身体活动的能量消耗。
J Sci Med Sport. 2017 Aug;20(8):761-765. doi: 10.1016/j.jsams.2017.01.233. Epub 2017 Jan 25.

引用本文的文献

1
Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study.一种减少工作时久坐行为的即时自适应干预(JITAI)的设计与评估:实验研究
JMIR Form Res. 2022 Jan 26;6(1):e34309. doi: 10.2196/34309.
2
Prediction of non-exercise activity thermogenesis (NEAT) using multiple linear regression in healthy Korean adults: a preliminary study.在健康韩国成年人中使用多元线性回归预测非运动活动产热(NEAT):一项初步研究。
Phys Act Nutr. 2021 Mar;25(1):23-29. doi: 10.20463/pan.2021.0004. Epub 2021 Mar 31.
3
Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning.基于加速度计的十种运动无需特定训练或调整即可自动计数。
J Healthc Eng. 2020 Oct 10;2020:8869134. doi: 10.1155/2020/8869134. eCollection 2020.
4
Non-exercise activity thermogenesis (NEAT): a component of total daily energy expenditure.非运动活动产热(NEAT):每日总能量消耗的一个组成部分。
J Exerc Nutrition Biochem. 2018 Jun 30;22(2):23-30. doi: 10.20463/jenb.2018.0013.
5
Validity of the Samsung Phone S Health application for assessing steps and energy expenditure during walking and running: Does phone placement matter?三星手机S健康应用程序用于评估步行和跑步时步数及能量消耗的有效性:手机放置位置有影响吗?
Digit Health. 2016 Jun 14;2:2055207616652747. doi: 10.1177/2055207616652747. eCollection 2016 Jan-Dec.
6
Mobile Jump Assessment (mJump): A Descriptive and Inferential Study.移动跳跃评估(mJump):一项描述性和推断性研究。
JMIR Rehabil Assist Technol. 2015 Aug 26;2(2):e7. doi: 10.2196/rehab.4120.
7
Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data.基于时间序列加速度计数据凸多面体的躯干姿势稳定性量化。
J Healthc Eng. 2016;2016. doi: 10.1155/2016/1621562.
8
A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies.一款用于慢性阻塞性肺疾病患者日常体力活动的手机应用程序:开发、可行性和初步研究。
JMIR Mhealth Uhealth. 2016 Jan 26;4(1):e11. doi: 10.2196/mhealth.4741.
9
Mobile Romberg test assessment (mRomberg).移动罗姆伯格试验评估(mRomberg)
BMC Res Notes. 2014 Sep 12;7:640. doi: 10.1186/1756-0500-7-640.
10
Design and evaluation of theory-informed technology to augment a wellness motivation intervention.基于理论的技术设计与评估,以增强健康促进动机干预。
Transl Behav Med. 2014 Mar;4(1):95-107. doi: 10.1007/s13142-013-0221-4.

本文引用的文献

1
Integrated electronic platforms for weight loss.用于减肥的集成电子平台。
Expert Rev Med Devices. 2010 Mar;7(2):201-7. doi: 10.1586/erd.09.73.
2
Off-the-shelf mobile handset environments for deploying accelerometer based gait and activity analysis algorithms.用于部署基于加速度计的步态和活动分析算法的现成移动手持设备环境。
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5187-90. doi: 10.1109/IEMBS.2009.5333715.
3
Influences of physical and social neighborhood environments on children's physical activity and obesity.邻里的自然环境和社会环境对儿童身体活动及肥胖的影响。
Am J Public Health. 2009 Feb;99(2):271-8. doi: 10.2105/AJPH.2007.128702. Epub 2008 Dec 4.
4
The epidemiology of obesity: the size of the problem.肥胖症流行病学:问题的规模。
J Intern Med. 2008 Apr;263(4):336-52. doi: 10.1111/j.1365-2796.2008.01922.x. Epub 2008 Feb 27.
5
The technology of accelerometry-based activity monitors: current and future.基于加速度计的活动监测技术:现状与未来。
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S490-500. doi: 10.1249/01.mss.0000185571.49104.82.
6
Physical activity for secondary prevention of disease. Systematic reviews of randomised clinical trials.
Dan Med Bull. 2005 May;52(2):90-4.
7
Accelerometry and heart rate as a measure of physical fitness: proof of concept.加速度计和心率作为身体素质的衡量指标:概念验证
Med Sci Sports Exerc. 2005 May;37(5):872-6. doi: 10.1249/01.mss.0000161805.61893.c0.
8
Interindividual variation in posture allocation: possible role in human obesity.姿势分配的个体间差异:对人类肥胖的潜在作用。
Science. 2005 Jan 28;307(5709):584-6. doi: 10.1126/science.1106561.
9
The evolution of physical activity recommendations: how much is enough?体育活动建议的演变:多少运动量才足够?
Am J Clin Nutr. 2004 May;79(5):913S-920S. doi: 10.1093/ajcn/79.5.913S.
10
Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers.使用髋部和腕部佩戴的加速度计预测体力活动的能量消耗。
Diabetes Technol Ther. 2003;5(6):1023-33. doi: 10.1089/152091503322641088.

评估嵌入手机平台用于测量身体活动的三轴加速度计的准确性。

Evaluation of the Accuracy of a Triaxial Accelerometer Embedded into a Cell Phone Platform for Measuring Physical Activity.

作者信息

Manohar C U, McCrady S K, Fujiki Y, Pavlidis I T, Levine J A

机构信息

Case School of Medicine, Case Western Reserve University, Cleveland OH 44106.

出版信息

J Obes Weight Loss Ther. 2011 Dec 20;1(106). doi: 10.4172/2165-7904.1000106.

DOI:10.4172/2165-7904.1000106
PMID:23730539
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3667221/
Abstract

BACKGROUND

Physical activity is important in health and weight management. Several cell phone platforms integrate an accelerometer onto the motherboard. Here we tested the validity of the cell phone accelerometer to assess physical activity in a controlled laboratory setting.

METHODS

31 subjects wore the cell phone on their waist along with the validated Physical Activity Monitoring System (PAMS) with different body postures and during graded walking. Energy expenditure was measured using indirect calorimetry. 11 subjects also wore the iPhone at different locations such as arm, hand, pant pocket, etc.

RESULTS

The cell phone accelerometer was accurate and precise compared to the PAMS, with an intra-class correlation coefficient (r> 0.98). The cell phone accelerometer showed excellent sequential increases with increased in walking velocity and energy expenditure (r>0.9).

CONCLUSION

An accelerometer embedded into a cell phone was accurate and reliable in measuring and quantifying physical activity in the laboratory setting. Data from free-living users shows promise for deployment of a comprehensive integrated physical activity promoting and weight loss platform using such mobile technologies.

摘要

背景

身体活动对健康和体重管理很重要。一些手机平台在主板上集成了加速度计。在此,我们在受控的实验室环境中测试了手机加速度计评估身体活动的有效性。

方法

31名受试者在腰部佩戴手机以及经过验证的身体活动监测系统(PAMS),处于不同身体姿势并进行分级步行。使用间接量热法测量能量消耗。11名受试者还在手臂、手部、裤兜等不同位置佩戴了iPhone。

结果

与PAMS相比,手机加速度计准确且精确,组内相关系数(r>0.98)。手机加速度计随着步行速度和能量消耗的增加呈现出良好的连续增加(r>0.9)。

结论

嵌入手机的加速度计在实验室环境中测量和量化身体活动方面准确且可靠。来自自由生活用户的数据显示,使用此类移动技术部署一个全面的综合身体活动促进和减肥平台具有前景。