Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (Hardcover, 1st ed. 2018)

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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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Analog Circuits and Signal Processing

Release date

November 2017

Availability

Expected to ship within 10 - 15 working days

First published

2018

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

74

Edition

1st ed. 2018

ISBN-13

978-3-319-63972-7

Barcode

9783319639727

Categories

LSN

3-319-63972-2



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