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

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

Authors
Publisher Springer Nature
Year 20/10/2017
Version eBook: Fixed Page eTextbook (PDF)
Language English
ISBN 9783319639734
Categories Biomedical engineering, Engineering: general, Circuits & components, Computer architecture & logic design
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Book 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.

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

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