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15 - General Engineering

University of Sheffield

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Output 9 of 66 in the submission

Article title

Absolute Electrical Impedance Tomography (aEIT) Guided Ventilation Therapy in Critical Care Patients: Simulations and Future Trends

Type

D - Journal article

DOI

10.1109/TITB.2009.2036010

Title of journal

IEEE Transactions on Information Technology in Biomedicine

Article number

Volume number

Issue number

First page of article

641

ISSN of journal

10897771

Year of publication

2010

URL

Number of additional authors

Additional information

This paper presents the first clinical decision support system for critically-ill patients in ICU that combines imaging data with blood gas information in a hybrid fashion. This is an invited contribution to a special session on “new and emerging technologies in bioinformatics and bioengineering” based on ‘the best papers presented’ at an IEEE international conference. The research study exploits a Sheffield University invention relating to Electrical Impedance Tomography for 2D-imaging of patient’s lungs. The model, used to predict the patient’s state prior to suggesting ‘optimal’ therapy, was validated using real data from more than 70 patients.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract