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Self-powered SoC platform for analys...

Saleh, Hani.

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Self-powered SoC platform for analysis and prediction of cardiac arrhythmias

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Self-powered SoC platform for analysis and prediction of cardiac arrhythmias/ by Hani Saleh ... [et al.].
其他作者:	Saleh, Hani.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xvi, 74 p. :ill., digital ;24 cm.
內容註:	Introduction -- Literature Review -- System Design and Development -- Hardware Design and Implementation -- Performance and Result -- Conclusions -- Bibliography -- Index.
Contained By:	Springer eBooks
標題:	Heart rate monitoring. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-63973-4
ISBN:	9783319639734

Self-powered SoC platform for analysis and prediction of cardiac arrhythmias
Self-powered SoC platform for analysis and prediction of cardiac arrhythmias[electronic resource] /by Hani Saleh ... [et al.]. - Cham :Springer International Publishing :2018. - xvi, 74 p. :ill., digital ;24 cm. - Analog circuits and signal processing,1872-082X. - Analog circuits and signal processing..

Introduction -- Literature Review -- System Design and Development -- Hardware Design and Implementation -- Performance and Result -- Conclusions -- Bibliography -- Index.

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. Provides a full overview of ECG signal processing basics and contemporary advances in the field; Introduces a new set of novel ECG signal features for automated ECG signal analysis; Enables readers to invent new ECG signal features and determine if they can be effective in predicting or diagnosing cardiac arrhythmias and related disorders; Demonstrates results, supported by silicon validation and real-chip tape-outs.

ISBN: 9783319639734

Standard No.: 10.1007/978-3-319-63973-4doiSubjects--Topical Terms:

708153
Heart rate monitoring.

LC Class. No.: RG628.3.H42

Dewey Class. No.: 618.320754

Self-powered SoC platform for analysis and prediction of cardiac arrhythmias
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505 0 $a Introduction -- Literature Review -- System Design and Development -- Hardware Design and Implementation -- Performance and Result -- Conclusions -- Bibliography -- Index.
520 $a 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. Provides a full overview of ECG signal processing basics and contemporary advances in the field; Introduces a new set of novel ECG signal features for automated ECG signal analysis; Enables readers to invent new ECG signal features and determine if they can be effective in predicting or diagnosing cardiac arrhythmias and related disorders; Demonstrates results, supported by silicon validation and real-chip tape-outs.
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