ENGLISH

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

By Mohammed Ismail , Baker Mohammad , Hani Saleh , Nourhan Bayasi

Book information

Publisher
Springer International Publishing
Year
2018
ISBN
978-3-319-63972-7, 978-3-319-63973-4
Language
english
Format
PDF
Filesize
5 MB (4800666 bytes)
Series
Analog Circuits and Signal Processing
Edition
1
Pages
XVI, 74\85
Time added
2017-11-21 00:00:00
Circuits and Systems

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. Front Matter ....Pages i-xvi Introduction (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 1-9 Literature Review (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 11-22 System Design and Development (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 23-38 Hardware Design and Implementation (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 39-49 Performance and Results (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 51-64 Conclusions (Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail)....Pages 65-65 Back Matter ....Pages 67-74

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