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Related Experiment Video

Updated: Aug 8, 2025

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

New Hemodynamic Parameters in Peri-Operative and Critical Care-Challenges in Translation.

Laura Bogatu^1,2, Simona Turco¹, Massimo Mischi¹

¹Biomedical Diagnostics Lab (BM/d), Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Sensors (Basel, Switzerland)

|February 28, 2023

Summary

Continuous advancements in hemodynamic monitoring offer safer, more accurate bedside measurements. New strategies are being developed to provide a more complete hemodynamic picture for critical care decisions.

Keywords:

hemodynamic monitoring hemodynamic parameter measurements minimally invasive monitoring patient monitoring

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Last Updated: Aug 8, 2025

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Area of Science:

Critical care medicine
Biomedical engineering
Cardiovascular physiology

Background:

Hemodynamic monitoring technologies are rapidly evolving, with increasing use of less invasive bedside methods like echocardiography and pulse contour analysis.
These advancements aim for safer, more accurate, and continuous physiological measurements, reducing reliance on highly invasive techniques.
Despite improvements, current hemodynamic monitoring provides limited information for comprehensive diagnosis and treatment in critical care.

Purpose of the Study:

To review and discuss emerging sensing strategies for obtaining a more complete hemodynamic status picture.
To identify key aspects, challenges, and clinical value of novel hemodynamic parameter measurement in critical care.
To explore four main research strategies: circulatory response to stimuli, microcirculation assessment, dynamic vascular mechanisms, and machine learning applications.

Main Methods:

Review of current and emerging hemodynamic monitoring technologies.
Analysis of four key research strategies: stimulus response, microcirculation, vascular dynamics, and machine learning.
Discussion of clinical value and challenges associated with novel hemodynamic parameter measurement.

Main Results:

Evolving technologies like electrical bioimpedance and pulse contour analysis are enhancing bedside hemodynamic monitoring.
New strategies focus on measuring circulatory response to stimuli, microcirculation, dynamic vascular mechanisms, and utilizing machine learning.
These approaches promise a more comprehensive understanding of patient hemodynamic status.

Conclusions:

Continuous innovation in hemodynamic monitoring is crucial for improving patient care in critical settings.
Exploring novel parameters through advanced sensing strategies and machine learning is key to overcoming current limitations.
Further research into these areas will enhance diagnostic and therapeutic capabilities in critical care medicine.