Estimation of lung volume and pressure from electrocardiogram

Gamal Eldin Fathy Amin Elsayed, Jürgen Kosel, Eugenijus Kaniušas, Stefan Traxler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Electrocardiography (ECG) is a tool measuring the electrical excitation of the heart that is extensively used for diagnosis and monitoring of heart diseases. The ECG signal reflects not only the heart activity but also many other physiological processes. The respiratory activity is a prominent process that affects the ECG signal due to the close proximity of the heart and the lungs and, on the other hand, due to neural regulatory processes. In this paper, several means for the estimation of the respiratory process from the ECG signal are presented. The results show a strong correlation of the voltage difference between the R and S peak of the ECG and the lung's volume and pressure. Correlation was also found for some features of the vector ECG, which is a two dimensional graph of two different ECG signals. The potential benefit of the multiparametric evaluation of the ECG signal is a reduction of the number of sensors connected to patients, which will increase the patients' comfort and reduce the costs associated with healthcare. In particular, it is relevant for sleep monitoring, where a reduction of the number of different sensors would facilitate a more natural sleeping environment and hence a higher sensitivity of the diagnosis. © 2011 IEEE.
Original languageEnglish (US)
Title of host publication2011 IEEE International Symposium on Medical Measurements and Applications
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781424493388
DOIs
StatePublished - May 2011

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