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

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

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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...
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Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

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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...
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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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Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

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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...
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Special considerations while measuring blood pressure01:28

Special considerations while measuring blood pressure

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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.
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Measurement of Blood Pressure01:17

Measurement of Blood Pressure

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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...
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相关实验视频

Updated: Jul 11, 2025

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

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使用人类语音信号进行BP估计的基于事实查找教练的集群技术.

Vaishali Rajput1,2, Preeti Mulay2

  • 1Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

Computer methods in biomechanics and biomedical engineering
|November 6, 2023
PubMed
概括

这项研究引入了一种基于Fact Finding Instructor (FFI) 的新集群方法,用于使用语音信号准确估计血压 (BP). 与现有的方法相比,FFI算法提高了BP分类的准确性.

科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 机器学习 机器学习

背景情况:

  • 准确的血压 (BP) 监测对于心血管健康至关重要,但目前的估计方法面临准确性挑战.
  • 高血压和低血压对健康构成重大风险,需要可靠和可访问的监测技术.
  • 语音信号包含生理信息,可以被潜在地用于非侵入性血压估计.

研究的目的:

  • 利用语音信号开发一种高效准确的血压 (BP) 估计技术.
  • 引入一个新的事实查找教练 (FFI) 优化算法,与BP分类的k-means集群集成.
  • 根据现有技术对拟议的基于FFI的方法的性能进行评估.

主要方法:

  • 语音信号被收集,预处理以消除噪音,并进行特征提取以生成特征向量.
  • 采用混合集群方法,将拟议的Fact Finding Instructor (FFI) 优化算法和k-means集群结合起来.
  • 根据集群结果,血压被分为三个类别:低血压,正常和高血压.

主要成果:

  • FFI优化算法展示了快速的融合率和准确的患者血压类别从语音特征集群.
  • 结合的FFI和k-means集群方法比基于教学优化 (TLBO) 的集群技术取得了显著的性能改善.
关键词:
血压估计 血压估计集群集成是指集群集成.功能提取 功能提取优化优化 优化优化语音信号是一个语音信号.

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  • 包括Davies Bouldin,同质性,完整性,Jacquard相似性,轮和Dunn指数在内的评估指标显示改善率高达0.98.

    • 结论:

    • 拟议的基于Fact Finding Instructor (FFI) 的聚类技术提供了一种高效且准确的方法,用于使用语音信号估计血压.
    • 这种基于语音的方法为定期的血压监测和医疗保健维护提供了有希望的非侵入性替代方案.
    • 在特征提取和集群方面,FFI算法的有效性突出显示了它在各种生理信号分析应用中的潜力.