NEURAL-FUZZY MODELLING OF LUNG VOLUME USING ABSOLUTE ELECTRICAL IMPEDANCE TOMOGRAPHY

Suzani Mohamad Samuri, George Panoutsos, Mahdi Mahfouf, G. H. Mills, M. Denaï, B. H. Brown

Abstract

Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the Department of Medical Physics and Clinical Engineering, Hallamshire Hospital in Sheffield (UK). In particular, pulmonary measurement has been the focus of most EIT related research. One of the relatively recent advances in EIT is the development of an absolute EIT system (aEIT) which can estimate absolute values of lung resistivity and lung volumes. However, there is still active research in the area of validating and improving the accuracy and consistency of the aEIT estimation of lung volumes towards characterising the system as suitable for clinical use. In this paper we present a new approach based on Computational Intelligence (CI) modelling to model the ‘Resistivity - Lung Volume’ relationship that will allow more accurate lung volume predictions. Eight (8) healthy volunteers were measured simultaneously by the Sheffield aEIT system and a Spirometer and the recorded results were used to develop subject-specific Neural-Fuzzy models able to predict absolute values of lung volume based only on absolute lung resistivity data. The developed models show improved accuracy in the prediction of lung volumes, as compared with the original Sheffield aEIT system. However the inter-individual differences observed in the subject-specific modelling behaviour of the ‘Resistivity-Lung Volume’ curves suggest that a model extension is needed, whereby the modelling structure auto-calibrates to account for subject (or patient-specific) inter-parameter variability.

References

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Paper Citation


in Harvard Style

Mohamad Samuri S., Panoutsos G., Mahfouf M., H. Mills G., Denaï M. and H. Brown B. (2011). NEURAL-FUZZY MODELLING OF LUNG VOLUME USING ABSOLUTE ELECTRICAL IMPEDANCE TOMOGRAPHY . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 43-50. DOI: 10.5220/0003136500430050


in Bibtex Style

@conference{biosignals11,
author={Suzani Mohamad Samuri and George Panoutsos and Mahdi Mahfouf and G. H. Mills and M. Denaï and B. H. Brown},
title={NEURAL-FUZZY MODELLING OF LUNG VOLUME USING ABSOLUTE ELECTRICAL IMPEDANCE TOMOGRAPHY},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={43-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003136500430050},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - NEURAL-FUZZY MODELLING OF LUNG VOLUME USING ABSOLUTE ELECTRICAL IMPEDANCE TOMOGRAPHY
SN - 978-989-8425-35-5
AU - Mohamad Samuri S.
AU - Panoutsos G.
AU - Mahfouf M.
AU - H. Mills G.
AU - Denaï M.
AU - H. Brown B.
PY - 2011
SP - 43
EP - 50
DO - 10.5220/0003136500430050