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相关概念视频

Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

656
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
656
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

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This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
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相关实验视频

Updated: Jun 6, 2025

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

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在NHANES 2011-2014中比较高分辨率手腕加速度计数据的步数算法.

Lily Koffman1, Ciprian Crainiceanu, John Muschelli

  • 1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Medicine and science in sports and exercise
|November 26, 2024
PubMed
概括

步数计数算法显示类似的死亡率预测,但在步数和风险降低估计方面存在很大差异. 这影响了使用可穿戴加速度计数据的翻译研究.

科学领域:

  • 可穿戴技术和数字健康
  • 流行病学和公共卫生.
  • 生物统计学和数据分析

背景情况:

  • 在自由生活研究中,越来越多地使用手腕戴式设备的高分辨率加速计.
  • 步数算法对于分析这些数据至关重要,但它们的性能各不相同.
  • 了解算法性能对于在翻译研究中准确解释至关重要.

研究的目的:

  • 为了比较五种不同的步数算法的性能.
  • 分析来自自由生活,高分辨率手腕加速度计的数据.
  • 评估对翻译研究和死亡率预测的影响.

主要方法:

  • 将四个开源和一个专有算法应用于国家健康和营养检查调查 (NHANES) 数据 (2011-2014).
  • 利用公开可用的高分辨率手腕加速度计数据.
  • 使用相关性,预测性表现和死亡风险比率来比较平均每日步数.

主要成果:

  • 步骤估计高度相关 (中位数为0.91),与可比的死亡率预测 (中位数一致性为0.72).
  • 平均每天的步数在各个算法 (2453到12169步) 中有显著的变化.
  • 估计500步增加的死亡风险降低估计差异高达300% (HR 0.88-0.96).

更多相关视频

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
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Published on: February 21, 2025

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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

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相关实验视频

Last Updated: Jun 6, 2025

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
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Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
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Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

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Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

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结论:

  • 步数计数算法产生相关的估计和类似的死亡率预测,优于传统预测器.
  • 在算法之间,步数分布和估计的死亡风险降低存在显著差异.
  • 算法选择对人口研究中身体活动和死亡风险的解释产生了重大影响.