Bioelectrical Signal Processing in Cardiac and Neurological Applications, Sornmo, Leif

Автор: Yar M. Mughal
Название: A Parametric Framework for Modelling of Bioelectrical Signals
ISBN: 9812879684 ISBN-13(EAN): 9789812879684
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Автор: Bin He
Название: Modeling & Imaging of Bioelectrical Activity
ISBN: 1441934294 ISBN-13(EAN): 9781441934291
Издательство: Springer
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Цена: 204040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the past several decades, much progress has been made in understanding the mechanisms of electrical activity in biological tissues and systems, and for developing non-invasive functional imaging technologies to aid clinical diagnosis of dysfunction in the human body.

Автор: Mughal Yar M.
Название: A Parametric Framework for Modelling of Bioelectrical Signals
ISBN: 9811357358 ISBN-13(EAN): 9789811357350
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 impedance cardiography (ICG) and impedance respirography (IRG) signals, as well as for developing the corresponding bio-impedance signal simulator (BISS).

Автор: Hani Saleh; Nourhan Bayasi; Baker Mohammad; Mohamm
Название: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
ISBN: 3319876864 ISBN-13(EAN): 9783319876863
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Нет в наличии.
Описание: This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.

Автор: Hani Saleh; Nourhan Bayasi; Baker Mohammad; Mohamm
Название: Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias
ISBN: 3319639722 ISBN-13(EAN): 9783319639727
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification.