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

• Main Authors: Saleh, Hani (Author, http://id.loc.gov/vocabulary/relators/aut), Bayasi, Nourhan (http://id.loc.gov/vocabulary/relators/aut), Mohammad, Baker (http://id.loc.gov/vocabulary/relators/aut), Ismail, Mohammed (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Analog Circuits and Signal Processing,
• Subjects: Electronic circuits.; Microprocessors.; Biomedical engineering.; Circuits and Systems.; Processor Architectures.; Biomedical Engineering and Bioengineering.

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...