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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design

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Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (Hardcover, 1st ed. 2018) Loot Price: R2,886
Discovery Miles 28 860
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias (Hardcover, 1st ed. 2018): Hani Saleh, Nourhan...

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

Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail

Series: Analog Circuits and Signal Processing

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Loot Price R2,886 Discovery Miles 28 860 | Repayment Terms: R270 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Analog Circuits and Signal Processing
Release date: November 2017
First published: 2018
Authors: Hani Saleh • Nourhan Bayasi • Baker Mohammad • Mohammed Ismail
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 74
Edition: 1st ed. 2018
ISBN-13: 978-3-319-63972-7
Categories: Books > Medicine > Clinical & internal medicine > Cardiovascular medicine
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
LSN: 3-319-63972-2
Barcode: 9783319639727

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