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dc.contributor.advisorKosel, Jürgen
dc.contributor.authorAmin, Gamal El Din Fathy
dc.date.accessioned2011-06-21T08:48:29Z
dc.date.available2015-01-01T00:00:00Z
dc.date.issued2010-12
dc.identifier.citationAmin, G. E. D. F. (2010). Respiratory Information Extraction from Electrocardiogram Signals. KAUST Research Repository. https://doi.org/10.25781/KAUST-HIEE8
dc.identifier.doi10.25781/KAUST-HIEE8
dc.identifier.urihttp://hdl.handle.net/10754/133969
dc.description.abstractThe Electrocardiogram (ECG) is a tool measuring the electrical activity of the heart, and it 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. In this thesis, several methods for the extraction of respiratory process information from the ECG signal are presented. These methods allow an estimation of the lung volume and the lung pressure from the ECG signal. The potential benefit of this is to eliminate the corresponding sensors used to measure the respiration activity. A reduction of the number of sensors connected to patients will increase patients’ comfort and reduce the costs associated with healthcare. As a further result, the efficiency of diagnosing respirational disorders will increase since the respiration activity can be monitored with a common, widely available method. The developed methods can also improve the detection of respirational disorders that occur while patients are sleeping. Such disorders are commonly diagnosed in sleeping laboratories where the patients are connected to a number of different sensors. Any reduction of these sensors will result in a more natural sleeping environment for the patients and hence a higher sensitivity of the diagnosis.
dc.language.isoen
dc.subjectElectro Cardiogram (ECG) Signal
dc.subjectHeart Diseases
dc.titleRespiratory Information Extraction from Electrocardiogram Signals
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.rights.embargodate2015-01-01
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberAl-Naffouri, Tareq Y.
dc.contributor.committeememberAlouini, Mohamed-Slim
thesis.degree.disciplineElectrical Engineering
thesis.degree.nameMaster of Science
dc.rights.accessrightsAt the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis became available to the public after the expiration of the embargo on 2015-01-01.
refterms.dateFOA2015-01-01T00:00:00Z


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