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Related Concept Videos

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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Sites for measruring blood pressure01:21

Sites for measruring blood pressure

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Blood pressure measurement is a fundamental clinical procedure, providing crucial data for assessing cardiovascular health. Among the various sites for this measurement, the brachial and popliteal arteries are predominantly utilized due to their accessibility and the reliability of their readings. This lesson delves into the anatomical significance, methodology, and considerations of measuring blood pressure at these locations.
The Brachial Artery: Primary Site for Blood Pressure Measurement
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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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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...
2.8K
Assessment of blood pressure in brachial artery(two-step method)01:23

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

1.1K
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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Special considerations while measuring blood pressure01:28

Special considerations while measuring blood pressure

928
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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Related Experiment Video

Updated: Nov 12, 2025

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
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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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Non-invasive cuff-less blood pressure machine learning algorithm using photoplethysmography and prior physiological

Sen Yang1,2, Stephen P Morgan3, Siu-Yeung Cho1

  • 1International Doctoral Innovation Centre.

Blood Pressure Monitoring
|March 20, 2021
PubMed
Summary

This study introduces a new method for estimating blood pressure (BP) using photoplethysmography and individual physiological data. Incorporating personal characteristics significantly improves the accuracy of noninvasive BP measurement.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics

Background:

  • Conventional blood pressure measurement methods are often invasive, cuff-based, or require manual operation.
  • Noninvasive, cuffless, and continuous blood pressure monitoring using photoplethysmography (PPG) is an emerging area of research.
  • The influence of individual physiological characteristics on PPG-based blood pressure estimation is not fully explored.

Purpose of the Study:

  • To develop and evaluate a novel method for estimating diastolic blood pressure (DBP) and systolic blood pressure (SBP) using PPG signals combined with prior knowledge of a subject's physiological features.
  • To compare the accuracy of machine learning models for blood pressure estimation with and without the incorporation of physiological characteristics.

Main Methods:

  • Extracted features from fingertip PPG signals.
  • Utilized subject physiological characteristics (gender, age, height, weight, BMI) as input.
  • Employed three machine learning models: artificial neural networks (ANN), support vector machine (SVM), and least absolute shrinkage and selection operator (LASSO) regression.
  • Evaluated model performance using mean absolute error (MAE) and standard deviation (SD).

Main Results:

  • The inclusion of physiological characteristics significantly improved the accuracy of blood pressure estimation across all models.
  • The artificial neural network model incorporating physiological data achieved the best performance, with MAE and SD of 4.74 ± 5.55 mm Hg for DBP and 9.18 ± 12.57 mm Hg for SBP.
  • Models without physiological data showed higher MAE and SD: 6.61 ± 8.04 mm Hg for DBP and 11.12 ± 14.20 mm Hg for SBP.

Conclusions:

  • Prior knowledge of physiological characteristics enhances the accuracy of machine learning-based blood pressure estimation from PPG signals.
  • Incorporating a greater number of physiological characteristics further improves the accuracy of noninvasive blood pressure monitoring.
  • This approach offers a promising direction for developing more accurate and personalized cuffless blood pressure monitoring devices.