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

• Κύριοι συγγραφείς: Saleh, Hani (Συγγραφέας, 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)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Analog Circuits and Signal Processing,
• Θέματα: 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...

Πίνακας περιεχομένων:

• Introduction
• Literature Review
• System Design and Development
• Hardware Design and Implementation
• Performance and Result
• Conclusions
• Bibliography
• Index.