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

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

Author
Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail
Publisher
Springer International Publishing
Language
English
Edition
1
Year
2018
Page
XVI, 74
ISBN
978-3-319-63972-7, 978-3-319-63973-4
File Type
pdf
File Size
4.6 MiB

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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