Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

791
Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
791
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
Assessment of blood pressure in brachial artery(two-step method)01:23

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

1.4K
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...
1.4K
Assessment of blood pressure in brachial artery(one-step method)01:15

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

1.1K
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
1.1K
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
Special considerations while measuring blood pressure01:28

Special considerations while measuring blood pressure

1.1K
When assessing blood pressure (BP), healthcare professionals must consider various factors and potential unexpected outcomes to ensure accurate readings and provide proper patient care. Adhering to these guidelines is essential to achieving the most reliable results.
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
1.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same author

SLCs in diabetic kidney disease: From pathogenic roles to therapeutic promises.

Life sciences·2026
Same author

Left atrium incisure curvature: an indicator for predicting atrial fibrillation-related cardioembolism.

BMC cardiovascular disorders·2026
Same author

Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning.

Physiological measurement·2026
Same author

Numerical analysis of the acoustic pressure inside blood vessel with exposure to high-intensity focused ultrasound.

Computer methods in biomechanics and biomedical engineering·2025
Same author

Investigating Cardiac Optical Signal Dynamics in Guinea Pigs Using Directed Information.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

930

自主监督学习与人口统计信息用于无袖手套血压估计.

Liwen Tang, Dingchang Zheng, Fei Chen

    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
    此摘要是机器生成的。

    这项研究引入了一种新的自主监督学习方法,用于使用光电显微镜 (PPG) 和人口统计数据进行无袖血压估计. 增强方法通过考虑个体差异来提高准确性,优于以前的方法.

    更多相关视频

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
    12:51

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

    Published on: June 16, 2018

    7.8K
    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
    06:16

    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

    Published on: August 9, 2024

    786

    相关实验视频

    Last Updated: Jan 9, 2026

    Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
    14:28

    Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

    Published on: June 27, 2025

    930
    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
    12:51

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

    Published on: June 16, 2018

    7.8K
    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
    06:16

    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

    Published on: August 9, 2024

    786

    科学领域:

    • 生物医学工程 生物医学工程
    • 生理监测 生理监测
    • 医疗保健中的机器学习

    背景情况:

    • 摄影电磁镜 (PPG) 通过可穿戴设备提供方便的,持续的生理监测.
    • 使用PPG估计无袖血压 (BP) 是一个关键的应用,但由于信号的复杂性和个体变异性,准确性受到挑战.
    • 现有的基于PPG的BP估计自主监督学习方法往往忽略了关键的人口因素,如年龄,性别,身高和体重.

    研究的目的:

    • 开发和评估一种新的自主监督学习框架,用于无袖式血压估计.
    • 将人口统计信息 (年龄,性别,身高,体重) 整合到基于PPG的BP估计模型中.
    • 通过考虑个体生理差异,提高血压估计的准确性.

    主要方法:

    • 提出了一种新的自我监督学习算法,用于估计血压.
    • 该方法将人口统计数据与PPG信号相结合.
    • 使用公共PulseDB数据集验证了模型性能.

    主要成果:

    • 在单独使用PPG时,拟议的方法实现了系统血压 (SBP) 的平均绝对误差 (MAE) 为5.41mmHg,腹血压 (DBP) 的平均误差为2.27mmHg.
    • 这些准确度指标表明,与最近的最先进方法相比,性能优越.
    • 人口统计信息的整合被证明是有利于提高BP估计的准确性.

    结论:

    • 开发的自我监督学习方法有效地使用PPG和人口统计数据估计血压.
    • 纳入人口统计信息显著提高了无袖血压估计的准确性.
    • 这种方法代表了对非侵入性,可穿戴血压监测的有希望的进步.