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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: R2,873

Discovery Miles 28 730

Repayment Terms: R269 pm x 12*

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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 R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

Expected to ship within 10 - 15 working days

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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 Promotions
LSN:	3-319-63972-2
Barcode:	9783319639727