| 期刊全稱 | A Parametric Framework for Modelling of Bioelectrical Signals | | 影響因子2023 | Yar M. Mughal | | 視頻video | http://file.papertrans.cn/142/141632/141632.mp4 | | 發(fā)行地址 | Presents non-invasive electrical-based methods for the diagnosis of the heart function modelling the measure signal.Offers a framework to guide the modelling of the impedance cardiography and impedanc | | 學(xué)科分類 | Series in BioEngineering | | 圖書封面 |  | | 影響因子 | .This 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 impedanc | | Pindex | Book 2016 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-22 13:32
發(fā)表于 2025-3-21 16:22:22
