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

Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

3.5K
Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
3.5K
Sites for measuring blood pressure01:21

Sites for measuring blood pressure

3.9K
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
3.9K
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

3.4K
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...
3.4K
Assessment of blood pressure in brachial artery(one-step method)01:15

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

1.4K
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
1.4K
Assessment of blood pressure in brachial artery(two-step method)01:23

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

2.1K
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...
2.1K
Measurement of Blood Pressure01:17

Measurement of Blood Pressure

4.0K
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...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Simulated study to examine shower drain splash risks in healthcare from a multi-disciplinary team perspective: time to reconsider ensuite facility redesign?

The Journal of hospital infection·2026
Same author

Transient visual evoked potential abnormalities in ADNP syndrome.

Journal of neurodevelopmental disorders·2026
Same author

Association between TMG-derived contractile muscle parameters and MRI-based muscle structure in sarcopenia.

BMC musculoskeletal disorders·2026
Same author

Clinical Characteristics Associated With Hospital Mortality and Length of Stay Among Older Adults Admitted With Delirium: Retrospective Analysis.

HCA healthcare journal of medicine·2025
Same author

How Does Anterior Vertebral Body Tethering Compare to Posterior Spinal Fusion for Thoracic Idiopathic Scoliosis? A Nonrandomized Clinical Trial.

Clinical orthopaedics and related research·2025
Same author

Super Movers: Epidemiology and Biology of a Novel Exceptional Aging Phenotype.

The journals of gerontology. Series A, Biological sciences and medical sciences·2025

Related Experiment Video

Updated: May 2, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

Measuring Multisensory Integration in Clinical Settings: Comparing an Established Laboratory Method with a Novel

Valerie Nunez1, James Gordon2, Mooyeon Oh-Park3,4

  • 1Department of Neurology, Division of Cognitive and Sensorimotor Aging, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA.

Brain Sciences
|June 26, 2025
PubMed
Summary

A new iPhone app, CatchU, reliably measures visual-somatosensory integration (VSI), a key factor in gait and balance. This digital tool offers comparable results to laboratory equipment, aiding clinical assessments.

Keywords:
CatchU®multisensory integrationreaction time (RT)simple reaction time testvisual–somatosensory integration (VSI)

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K

Related Experiment Videos

Last Updated: May 2, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.7K
An Application for Pairing with Wearable Devices to Monitor Personal Health Status
06:58

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

3.0K

Area of Science:

  • Gerontology
  • Neuroscience
  • Biomedical Engineering

Background:

  • Impaired sensory integration is linked to adverse clinical outcomes like falls and poor balance in older adults.
  • Digital health solutions are needed to assess sensory integration in clinical settings.
  • CatchU is an iPhone application designed for measuring visual-somatosensory integration.

Purpose of the Study:

  • To validate the CatchU iPhone app for measuring visual-somatosensory integration (VSI).
  • To compare the VSI measurements from CatchU against a validated laboratory apparatus (tristimulator).

Main Methods:

  • Fifty older adults (mean age 76.5 years) participated.
  • Participants completed reaction time tests using visual, somatosensory, and combined stimuli via both CatchU and a tristimulator.
  • Visual-somatosensory integration (VSI) was quantified using cumulative distribution frequency (CDF) difference functions.

Main Results:

  • CatchU successfully captured multisensory integration, showing comparable VSI magnitudes to the tristimulator.
  • No systematic bias was observed between CatchU and the laboratory apparatus.
  • CatchU demonstrated significantly lower response variability than the tristimulator.

Conclusions:

  • The CatchU app reliably measures visual-somatosensory integration (VSI).
  • CatchU provides similar inferences to established laboratory equipment, making it a viable clinical tool.
  • This digital health application can aid in assessing factors related to gait, balance, and fall risk.