Estimation of lung volume and pressure from electrocardiogram

Handle URI:
http://hdl.handle.net/10754/564372
Title:
Estimation of lung volume and pressure from electrocardiogram
Authors:
Elsayed, Gamal Eldin Fathy Amin; Kosel, Jürgen ( 0000-0002-8998-8275 ) ; Kaniušas, Eugenijus; Traxler, Stefan
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Sensing, Magnetism and Microsystems Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2011 IEEE International Symposium on Medical Measurements and Applications
Conference/Event name:
2011 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2011
Issue Date:
May-2011
DOI:
10.1109/MeMeA.2011.5966700
Type:
Conference Paper
ISBN:
9781424493388
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program; Sensing, Magnetism and Microsystems Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorElsayed, Gamal Eldin Fathy Aminen
dc.contributor.authorKosel, Jürgenen
dc.contributor.authorKaniušas, Eugenijusen
dc.contributor.authorTraxler, Stefanen
dc.date.accessioned2015-08-04T06:25:18Zen
dc.date.available2015-08-04T06:25:18Zen
dc.date.issued2011-05en
dc.identifier.isbn9781424493388en
dc.identifier.doi10.1109/MeMeA.2011.5966700en
dc.identifier.urihttp://hdl.handle.net/10754/564372en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectElectrocardiogramen
dc.subjectLung Pressureen
dc.subjectLung Volumeen
dc.subjectPCAen
dc.subjectRespiratory Rateen
dc.titleEstimation of lung volume and pressure from electrocardiogramen
dc.typeConference Paperen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentSensing, Magnetism and Microsystems Laben
dc.identifier.journal2011 IEEE International Symposium on Medical Measurements and Applicationsen
dc.conference.date30 May 2011 through 31 May 2011en
dc.conference.name2011 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2011en
dc.conference.locationBarien
dc.contributor.institutionInstitute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Vienna, Austriaen
kaust.authorKosel, Jürgenen
kaust.authorElsayed, Gamal Eldin Fathy Aminen
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