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相关概念视频

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.3K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
2.3K
Measurement of Blood Pressure01:17

Measurement of Blood Pressure

2.6K
Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a...
2.6K
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

3.0K
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
3.0K

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相关实验视频

Updated: Jan 9, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
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Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

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解码血液体积损失:非侵入性信号可以与黄金标准相匹配吗?

Naimahmed Nesaragi, Hemin Ali Qadir, Lars Oivind Hoiseth

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    对生理信号的高级波形分析可以诊断低血症. 在深度学习模型中,非侵入性光多聚体图 (PPG) 显示了与侵入性动脉血压 (ABP) 在检测血液损失的深度学习模型中相似或更高的性能.

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    Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice
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    科学领域:

    • 生理信号处理 物理信号处理
    • 医学诊断 医学诊断 医学诊断
    • 机器学习在医疗保健中的应用

    背景情况:

    • 低血压的诊断依赖于侵入性方法或临床症状.
    • 对低血压症的生理信号的高级波形分析尚未得到充分研究.
    • 深度学习 (DL) 为分析复杂的生理数据提供了潜力.

    研究的目的:

    • 为了比较侵入性 (ABP) 和非侵入性 (PPG) 信号的诊断能力,用于分类低血压水平.
    • 应用深度学习框架来分析波形数据.
    • 评估DL模型在检测轻度,中度和重度低血压症方面的性能.

    主要方法:

    • 在健康志愿者中使用下体负压 (LBNP) 模拟的低血压.
    • 获取和分析的侵入性动脉血压 (ABP) 和非侵入性光电显微镜 (PPG) 波形.
    • 开发了一个监督深度学习模型,使用时间频率表示和晚期融合来对低血压水平进行三元分类.

    主要成果:

    • 无论是PPG还是ABP信号都能检测到不同程度的低血压.
    • 非侵入性PPG信号实现了与ABP相比或优于ABP的分类性能.
    • PPG显示出高的诊断潜力,AUROC为0.8861和F1得分为0.7216.

    结论:

    • 使用深度学习的高级波形分析对于诊断低血症是有效的.
    • 摄影电磁镜 (PPG) 提供了一种有前途的非侵入性替代方法来检测低血压.
    • 这种方法具有实时临床监测和早期诊断的巨大潜力.