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Researchers working toward automating sedation in intensive care units
Date:2/14/2011

The researchers' next step toward closed-loop control of sedation in the ICU will be to continuously collect clinical data from ICU patients in real time. Future work will involve the development of objective techniques for assessing ICU sedation using movement, facial expression and responsiveness to stimuli.

Digital imaging will be used to assess a patient's facial expression and also gross motor movement. In a study published in the June 2010 issue of the journal IEEE Transactions on Biomedical Engineering, the researchers showed that machine learning methods could be used to assess the level of pain in patients using facial expressions.

"We will explore the relationship between the data we can extract from these multiple sensors and the subjective clinical MAAS score," said Haddad. "We will then use the knowledge we have gained in developing feedback control algorithms for anesthesia dosage levels in the operating room to develop an expert system to automate drug dosage in the ICU."


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Contact: Abby Robinson
abby@innovate.gatech.edu
404-385-3364
Georgia Institute of Technology Research News
Source:Eurekalert  

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