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相关概念视频

Drug Dosing: Geriatric Patients01:15

Drug Dosing: Geriatric Patients

Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...

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A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs.

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Subventricular zone microglia transcriptional networks.

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Characterization of antibodies specific for hemagglutinin and neuraminidase proteins of the 1918 and 2009 pandemic H1N1 viruses.

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Acridine orange-induced signal enhancement effect of tyrosinase-immobilized carbon-felt-based flow biosensor for highly sensitive detection of monophenolic compounds.

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Machine learning-based prediction of dataset-defined myocardial infarction risk: A retrospective computational study for precision cardiovascular risk assessment.

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Visualization of artificial intelligence applications in oral disease diagnosis: A bibliometric analysis.

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Wearable IoT health sensing beyond functional utility: Identity-expressive and hedonic determinants of user acceptance in intimate physiological monitoring devices - A sequential FA-ANP mixed-methods investigation with digital health policy implications.

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Heterogeneity of information across seven curated national or international digital health app repositories.

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Interpretable machine learning for early prediction of acute kidney injury in critically ill patients with acute pancreatitis.

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相关实验视频

Updated: Jun 10, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

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改善老年护理:高效可靠的实时摔倒检测算法

Yue Wang1, Tiantai Deng1

  • 1Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK.

Digital health
|February 22, 2024
PubMed
概括
此摘要是机器生成的。

一个新的实时落检测算法使用背景减法和人体姿势估计来进行高效和准确的落监控. 这种基于视觉的系统实现了高精度和速度,使其适合数字健康应用.

关键词:
生物力学 生物力学人类行动承认承认图像处理是图像处理的过程.机器学习是机器学习.构成估计估计的估计.智能医疗保健是一个智能医疗保健.

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Design and Analysis for Fall Detection System Simplification
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相关实验视频

Last Updated: Jun 10, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

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Published on: February 8, 2019

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Design and Analysis for Fall Detection System Simplification
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科学领域:

  • 计算机视觉 计算机视觉
  • 生物医学工程 生物医学工程
  • 人工智能的人工智能

背景情况:

  • 布是一个主要的公共卫生风险,特别是对老年人来说,需要有效的检测系统.
  • 基于视觉的跌倒检测为可穿戴传感器提供了一种非侵入性和负担得起的替代方案.
  • 当前的算法面临着计算需求的挑战,在复杂的环境中限制了设备上的速度和性能.

研究的目的:

  • 开发具有较低计算要求的实时落检测算法.
  • 解决现有系统在复杂场景中的速度和性能方面的局限性.
  • 使用随时可用的硬件创建一个高效和准确的摔倒检测解决方案.

主要方法:

  • 使用单个网络摄像头实现了实时摔倒检测算法.
  • 结合背景减法与BlazePose人类姿势估计模型,以获得最佳的精度和效率.
  • 在一个随机森林模型中使用来自BlazePose关键点的生物力学特征来进行秋季事件分类.

主要成果:

  • 在标准的跌落检测数据集上实现了89.99%的准确性和每秒29.7 (FPS).
  • 在各种场景中表现出强大的概括性和稳定性.
  • 该算法在标准笔记本电脑CPU上有效运行,表明计算需求较低.

结论:

  • 开发的算法为实时落检测提供了一个实用的解决方案.
  • 它的低计算能力使其适合集成到小型医疗监测设备中.
  • 该系统具有显著的潜力,可以增强数字健康应用和患者安全.