Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias

Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
Cover of the book Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias by Baker Mohammad, Mohammed Ismail, Nourhan Bayasi, Hani Saleh, Springer International Publishing
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Author: Baker Mohammad, Mohammed Ismail, Nourhan Bayasi, Hani Saleh ISBN: 9783319639734
Publisher: Springer International Publishing Publication: October 20, 2017
Imprint: Springer Language: English
Author: Baker Mohammad, Mohammed Ismail, Nourhan Bayasi, Hani Saleh
ISBN: 9783319639734
Publisher: Springer International Publishing
Publication: October 20, 2017
Imprint: Springer
Language: English

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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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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