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dc.contributor.authorElsayed, Gamal Eldin Fathy Amin
dc.contributor.authorKosel, Jürgen
dc.contributor.authorKaniušas, Eugenijus
dc.contributor.authorTraxler, Stefan
dc.date.accessioned2015-08-04T06:25:18Z
dc.date.available2015-08-04T06:25:18Z
dc.date.issued2011-05
dc.identifier.isbn9781424493388
dc.identifier.doi10.1109/MeMeA.2011.5966700
dc.identifier.urihttp://hdl.handle.net/10754/564372
dc.description.abstractThe 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectElectrocardiogram
dc.subjectLung Pressure
dc.subjectLung Volume
dc.subjectPCA
dc.subjectRespiratory Rate
dc.titleEstimation of lung volume and pressure from electrocardiogram
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSensing, Magnetism and Microsystems Lab
dc.identifier.journal2011 IEEE International Symposium on Medical Measurements and Applications
dc.conference.date30 May 2011 through 31 May 2011
dc.conference.name2011 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2011
dc.conference.locationBari
dc.contributor.institutionInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austria
kaust.personKosel, Jürgen
kaust.personElsayed, Gamal Eldin Fathy Amin


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