Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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

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

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...

Errors occurring during blood pressure monitoring

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...

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

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

This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:

Pre-Procedural Guidelines for Assessing Blood Pressure

Pre-Procedural Guidelines for Assessing Blood Pressure

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 patient.

Equipments Used To Measure Blood Pressure

Equipments Used To Measure Blood Pressure

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...

Sites for measuring blood pressure

Sites for measuring blood pressure

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

High-power air-cooled SiC-clad Nd:YVO4 slab lasers.

Optics letters·2011

Same author

2,2'-(1,3,5,7-Tetra-oxo-1,2,3,5,6,7-hexa-hydro-pyrrolo[3,4-f]isoindole-2,6-di-yl)diacetic acid N,N-dimethyl-formamide disolvate.

Acta crystallographica. Section E, Structure reports online·2011

Same author

4,4'-Bipyridine-2,3,4,5,6-penta-fluoro-benzoic acid (1/2).

Acta crystallographica. Section E, Structure reports online·2011

Same author

Development of a new duplex real-time polymerase chain reaction assay for hepatitis B viral DNA detection.

Virology journal·2011

Same author

Annexin A5-conjugated polymeric micelles for dual SPECT and optical detection of apoptosis.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2011

Same author

[Preventive and therapeutic effects of quercetin on hyperuricemia and renal injury in rats].

Wei sheng yan jiu = Journal of hygiene research·2011

Same journal

Universal perceptron and DNA-like learning algorithm for binary neural networks: LSBF and PBF implementations.

IEEE transactions on neural networks·2013

Same journal

Guest editorial: special section on white box nonlinear prediction models.

IEEE transactions on neural networks·2011

Same journal

Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures.

IEEE transactions on neural networks·2011

Same journal

Guest editorial: special section on data-based control, modeling, and optimization.

IEEE transactions on neural networks·2011

Same journal

Neural network-based multiple robot simultaneous localization and mapping.

IEEE transactions on neural networks·2011

Same journal

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.

IEEE transactions on neural networks·2011

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 20, 2026

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

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

Published on: June 27, 2025

When does online BP training converge?

Zong-Ben Xu¹, Rui Zhang, Wen-Feng Jing

¹Institute for Information and System Science, Xi’an Jiaotong University, Xi’an 710049, China. zbxu@mail.xjtu.edu.cn

IEEE Transactions on Neural Networks

|August 22, 2009

Summary

This summary is machine-generated.

This study proves two theorems on backpropagation (BP) neural network training convergence. Results show that online BP training with analytic sigmoid activation functions always converges, ensuring successful BP neural network applications.

More Related Videos

Systematic Endobronchial Ultrasound - The Six Landmarks Approach

Systematic Endobronchial Ultrasound - The Six Landmarks Approach

Published on: August 11, 2023

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Related Experiment Videos

Last Updated: Jun 20, 2026

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

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

Published on: June 27, 2025

Systematic Endobronchial Ultrasound - The Six Landmarks Approach

Systematic Endobronchial Ultrasound - The Six Landmarks Approach

Published on: August 11, 2023

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Area of Science:

Artificial Intelligence
Machine Learning
Computational Neuroscience

Background:

Backpropagation (BP) neural networks are widely used in science and engineering.
The success of BP neural networks depends on the convergence of their training procedures.
Convergence analysis of online BP training is crucial for reliable applications.

Purpose of the Study:

To rigorously analyze the convergence properties of the online backpropagation training procedure.
To establish fundamental theorems guaranteeing convergence under mild conditions.
To generalize and extend existing convergence analyses for BP neural networks.

Main Methods:

Development of two fundamental theorems for online BP training convergence analysis.
Mathematical proof of weak convergence: gradient sequence converges to zero.
Mathematical proof of strong convergence: weight sequence converges to a minimum.

Main Results:

The weak convergence theorem sharpens and generalizes previous analyses.
The strong convergence theorem offers new insights into online BP training.
Demonstrated that online BP training is always convergent with analytic sigmoid activation functions.

Conclusions:

The established theorems provide a solid theoretical foundation for BP neural network training.
Guaranteed convergence ensures the reliability and success of BP neural network applications.
This work advances the understanding and application of neural network learning algorithms.