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Updated: Jul 11, 2026

Ultrasound-based Pulse Wave Velocity Evaluation in Mice
Published on: February 14, 2017
Pulse morphology visualization and analysis with applications in cardiovascular pressure signals
Tim Ellis1, James McNames, Mateo Aboy
1Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, 1900 SW 4th Ave., Portland, OR 97201, USA. taellis@pdx.edu
This study introduces a novel method to analyze pulse wave morphology in pressure signals, revealing clinical insights previously hidden in complex data. The technique aids in understanding relationships between pulse shape and vital metrics like heart rate.
Area of Science:
- Biomedical Engineering
- Physiological Signal Analysis
- Medical Data Visualization
Background:
- Pulse morphology in pressure signals contains valuable clinical information.
- Analyzing this morphology in the time domain is challenging without specialized tools.
- Existing methods lack effective ways to correlate pulse shape with physiological metrics.
Purpose of the Study:
- To develop and present a new analysis and visualization method for studying pulse morphology.
- To explore the functional relationship between pulse morphology and time/signal metrics.
- To demonstrate the clinical utility of the method through real-world data analysis.
Main Methods:
- Utilizes established signal processing techniques.
- Incorporates nonparametric regression for trend analysis.
- Employs an automatic beat detection algorithm for precise analysis.
- Integrates novel visualization tools for intuitive interpretation.
Main Results:
- Successfully analyzed intracranial pressure (ICP) signals from traumatic brain injury (TBI) patients.
- Identified a clear transition point in pulse morphology from three peaks (low pressure) to a single peak (high pressure).
- Demonstrated distinct relationships between pulse morphology and signal metrics across different patients.
Conclusions:
- The developed method effectively visualizes and analyzes complex pulse morphology.
- Provides novel insights into pressure signal dynamics, particularly in TBI.
- Offers a valuable tool for understanding physiological states and patient-specific variations.
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