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dc.contributor.authorMughal, Yar Muhammaden_US
dc.date.accessioned2017-07-25T03:42:07Z
dc.date.available2017-07-25T03:42:07Z
dc.date.issued2016en_US
dc.identifier.isbn978-981-287-968-4en_US
dc.identifier.isbn978-981-287-969-1en_US
dc.identifier.otherHPU5160325en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/26225
dc.description.abstractThis book examines non-invasive, electrical-based methods for disease diagnosis and assessment of heart function. In particular, a formalized signal model is proposed since this offers several advantages over methods that rely on measured data alone. By using a formalized representation, the parameters of the signal model can be easily manipulated and/or modified, thus providing mechanisms that allow researchers to reproduce and control such signals. In addition, having such a formalized signal model makes it possible to develop computer tools that can be used for manipulating and understanding how signal changes result from various heart conditions, as well as for generating input signals for experimenting with and evaluating the performance of e.g. signal extraction methods. The work focuses on bioelectrical information, particularly electrical bio-impedance (EBI). Once the EBI has been measured, the corresponding signals have to be modelled for analysis. This requires a structured approach in order to move from real measured data to the model of the corresponding signals. This book proposes a generic framework for this procedure. It can be used as a guide for modelling impedance cardiography (ICG) and impedance respirography (IRG) signals, as well as for developing the corresponding bio-impedance signal simulator (BISS).en_US
dc.format.extent92 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectModelling of Bioelectrical Signalsen_US
dc.subjectBioelectrical Signalsen_US
dc.subjectBioEngineeringen_US
dc.titleA Parametric Framework for Modelling of Bioelectrical Signalsen_US
dc.typeBooken_US
dc.size4,044Kben_US
dc.departmentTechnologyen_US


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