Clinical decision support in physiological monitoring
by J. Mark Ansermino, Stephan K.W. Schwarz, Guy A. Dumont, Chris Brouse, Yang Ping, Joanne Lim, Dustin Dunsmuir, Jeremy Daniels
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 3, No. 3/4, 2010

Abstract: Effective use of the information produced by current and future physiological sensors can be used to improve monitoring, diagnosis, and treatment of patients. The successful introduction of intelligent monitoring and automated control promises to harness this information to enhance safety, as it has in aviation. Intelligent data analysis requires a multifaceted approach. A range of techniques that include statistical characterisation, modelling, feature extraction, and prediction augmented with expert knowledge can be used to present the salient information and combine information from multiple sources. We present a collaborative effort to embrace intelligent monitoring and automated control for physiological monitoring.

Online publication date: Tue, 13-Apr-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com