Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

1.8K
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:
1.8K
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

930
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
930
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

2.7K
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...
2.7K
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

69
Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
69
Assessment of radial pulse01:11

Assessment of radial pulse

1.0K
Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
1.0K
Pulse01:16

Pulse

1.4K
When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Quantitative ultrasound scatteromics for characterization of reconstructed neopharyngeal tissue: Assessment of postoperative speech outcome after total laryngopharyngectomy.

Ultrasonics·2026
Same author

Psychological distress among dialysis patients during the COVID-19 Omicron pandemic: risk and protective factors across hemodialysis and peritoneal dialysis.

Frontiers in psychiatry·2026
Same author

Machine-learning prediction of 30-day infection-related hospitalization in advanced CKD.

BMC infectious diseases·2026
Same author

Interactive active learning for literature screening: finetuning GPT with DeepSeek reasoning for cross-domain generalization.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Early Detection of Liver Fibrosis Using Scatteromics Based on Multimodal QUS Envelope Statistics Imaging.

Diagnostics (Basel, Switzerland)·2026
Same author

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Oct 19, 2025

Creating Radio-cephalic Arteriovenous Fistula in the Forearm with a Modified No-Touch Technique
07:30

Creating Radio-cephalic Arteriovenous Fistula in the Forearm with a Modified No-Touch Technique

Published on: April 1, 2022

8.0K

Arteriovenous Fistula Flow Dysfunction Surveillance: Early Detection Using Pulse Radar Sensor and Machine Learning

Cheng-Hsu Chen1,2,3,4, Teh-Ho Tao5, Yi-Hua Chou6

  • 1Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City 40705, Taiwan.

Biosensors
|September 25, 2021
PubMed
Summary

A new non-invasive Vascular Wall Motion (VWM) system accurately detects Arteriovenous Fistula (AVF) dysfunction in hemodialysis patients. This technology offers improved monitoring compared to traditional methods, potentially reducing complications and hospitalizations.

Keywords:
SVMarteriovenous fistulaharmonic ratiovascular wall motion monitor

More Related Videos

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
06:38

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats

Published on: March 11, 2016

12.2K
Author Spotlight: Establishment and Confirmation of a Postnatal Right Ventricular Volume Overload Mouse Model
06:04

Author Spotlight: Establishment and Confirmation of a Postnatal Right Ventricular Volume Overload Mouse Model

Published on: June 9, 2023

1.2K

Related Experiment Videos

Last Updated: Oct 19, 2025

Creating Radio-cephalic Arteriovenous Fistula in the Forearm with a Modified No-Touch Technique
07:30

Creating Radio-cephalic Arteriovenous Fistula in the Forearm with a Modified No-Touch Technique

Published on: April 1, 2022

8.0K
Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
06:38

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats

Published on: March 11, 2016

12.2K
Author Spotlight: Establishment and Confirmation of a Postnatal Right Ventricular Volume Overload Mouse Model
06:04

Author Spotlight: Establishment and Confirmation of a Postnatal Right Ventricular Volume Overload Mouse Model

Published on: June 9, 2023

1.2K

Area of Science:

  • Biomedical Engineering
  • Medical Devices
  • Nephrology

Background:

  • Vascular Access (VA) is critical for hemodialysis (HD) patients, with insufficient VA leading to significant morbidity and mortality.
  • Arteriovenous Fistula (AVF) is the preferred VA, but flow dysfunction remains a major complication.
  • Current monitoring methods for VA dysfunction have limitations.

Purpose of the Study:

  • To develop and evaluate a non-invasive Vascular Wall Motion (VWM) monitoring system for detecting AVF flow dysfunction.
  • To compare the efficacy of the VWM system against Ultrasound Dilution (UD) monitoring.

Main Methods:

  • A novel VWM system utilizing a pulse radar sensor and Support Vector Machine (SVM) classification algorithm was developed.
  • Fast Fourier Transform (FFT) spectrum-based signal processing was used to derive harmonic ratios as input features for the SVM classifier.
  • A pilot clinical trial was conducted to assess the system's performance.

Main Results:

  • The VWM monitor demonstrated more accurate prediction of AVF flow dysfunction compared to the UD flow monitor.
  • Receiver Operating Characteristic (ROC) curve analysis indicated high performance of the SVM algorithm.
  • The SVM classifier achieved 100% specificity at flow thresholds between 500-750 mL/min and 95.2% maximum sensitivity at 750 mL/min.

Conclusions:

  • The non-invasive VWM monitoring system shows promise for early detection of AVF flow dysfunction.
  • This technology could improve patient outcomes by enabling timely intervention and reducing HD-related complications.
  • VWM monitoring represents a potential advancement in VA surveillance for hemodialysis patients.