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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

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:
Equipments Used To Measure Blood Pressure01:30

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...
Measurement of Blood Pressure01:17

Measurement of Blood Pressure

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 stethoscope.

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Related Experiment Video

Updated: May 14, 2026

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
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Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging

Published on: February 7, 2014

High resolution wireless body area network with statistically synchronized sensor data for tracking pulse wave

Kejia Li1, Steve Warren

  • 1Department of Electrical & Computer Engineering, Kansas State University, Manhattan, KS 66506, USA. kejiali@ksu.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

This study introduces a new application layer protocol for Wireless Body Area Networks (WBANs) to ensure real-time data delivery from diverse sensors. It enables accurate, time-synchronized data transmission for applications like pulse wave velocity tracking.

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Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Network Engineering

Background:

  • Wireless Body Area Networks (WBANs) are expanding to new monitoring scenarios, increasing the need for efficient data handling.
  • Existing WBAN protocols face challenges in managing high-speed, real-time communication demands from diverse sensor nodes.
  • Intermittent network operation can hinder the delivery of critical, time-sensitive data.

Purpose of the Study:

  • To present an application layer protocol designed to resolve data transmission conflicts in WBANs.
  • To facilitate the delivery of large volumes of raw sensor data in a time-synchronized manner.
  • To enhance the reliability of real-time communication for critical health monitoring applications.

Main Methods:

  • Development of a novel application layer protocol for WBANs.
  • Implementation of timeline recovery and feature extraction techniques.
  • Utilizing MATLAB for data processing and analysis, exemplified by Pulse Wave Velocity (PWV) tracking.

Main Results:

  • The proposed protocol effectively addresses competition for high-speed, real-time communication.
  • Successful time-synchronized delivery of large amounts of raw data from multiple sensor nodes.
  • High-precision estimation of Pulse Wave Velocity (PWV) demonstrated through the application example.

Conclusions:

  • The developed protocol enhances WBAN capabilities for diverse and demanding monitoring scenarios.
  • Time-synchronized data delivery is crucial for applications requiring high-precision measurements.
  • The protocol offers a robust solution for real-time data transmission in advanced WBAN systems.