Intelligent Cardiothoracic ICU Hemodynamic Monitoring System

Friday, August 6, 2010

Announcement!

Due to the latest activity, we will close this blog soon, please go to
http://sigcasc.blogspot.com/

Thursday, December 10, 2009

Final Project for Master Structure C

Seeing here Rahman presenting his expert system for CICU. Group members were satisfied with his project, and he will be one of our PhD candidate. Hopefully MOSTI grant our proposal to enhance the expert elements in this project.

Wednesday, May 6, 2009

Seremban Workshop.

Seen here, Dr Rabiah concentrated with her work in our first workshop in Seremban. At the end of this workshop we managed to design 5 grant proposal and our future flow of research.

Welcome to this part of our research activity

Welcome to this part of our research work which lead by Dr. Rabiah Abdul Kadir. You can contact her at rabiah@fsktm.upm.edu.my

Project Summary

Cardiothoracic Intensive Care Units (CICU) provides continuous and often invasive measurements of hemodynamic and respiratory status in acutely ill patients with cardiac problem. Most CICU have the basic capacity to monitor and record heart rate and rhythm (usually with a built-in memory and recall capability), venous pressure, pulmonary arterial pressure, and systemic arterial pressure. The CICU medical staff must reassess these patients frequently on the basis of data from clinical observations, bedside monitors, mechanical
ventilators and a wide variety of lab tests. Clinicians usually face a very large, complex and ever-changing body of data, and it is often challenging and time consuming for them to analyze such massive information loads. Improvement in the interpretation of clinical data will have the potential of increasing quality and efficiency in the CICU.

Artificial intelligence has been recognized could be use to assist in medical clinical decision and potentially to implement automatic decision making system since mid 1950s. Intelligence can be represented or replaced by pure calculation, theoretically can simulate the thinking process of human beings. Applying artificial intelligence techniques to the medical system would be some extra concerns.

For further clarification please contact rabiah@fsktm.upm.edu.my

Intelligent Cardiothoracic ICU Hemodynamic Monitoring System

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