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作者 Saleh, Hani, author
書名 Self-powered SoC platform for analysis and prediction of cardiac arrhythmias / by Hani Saleh, Nourhan Bayasi, Baker Mohammad, Mohammed Ismail
出版項 Cham : Springer International Publishing : Imprint: Springer, 2018
國際標準書號 9783319639734 (electronic bk.)
9783319639727 (paper)
國際標準號碼 10.1007/978-3-319-63973-4 doi
book jacket
說明 1 online resource (xvi, 74 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Analog circuits and signal processing, 1872-082X
Analog circuits and signal processing
附註 Introduction -- Literature Review -- System Design and Development -- Hardware Design and Implementation -- Performance and Result -- Conclusions -- Bibliography -- Index
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. Provides a full overview of ECG signal processing basics and contemporary advances in the field; Introduces a new set of novel ECG signal features for automated ECG signal analysis; Enables readers to invent new ECG signal features and determine if they can be effective in predicting or diagnosing cardiac arrhythmias and related disorders; Demonstrates results, supported by silicon validation and real-chip tape-outs
Host Item Springer eBooks
主題 Heart rate monitoring
Cardiovascular instruments, Implanted
Patient monitoring
Cardiac pacemakers
Engineering
Circuits and Systems
Processor Architectures
Biomedical Engineering
Alt Author Bayasi, Nourhan, author
Mohammad, Baker, author
Ismail, Mohammed, author
SpringerLink (Online service)
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