@inbook{2d49a4d63c814e868a78e4eec432e8a5,
title = "System Design and Development",
abstract = "The chapter introduces an automated system for prediction and detection of cardiac arrhythmias especially VT/VF. The system is overviewed, next the ECG signal processing specifics are covered, and then the feature extraction process is explained. The chapter is concluded by explaining features of the classification system.",
keywords = "ECG signal Databases, ECG Signal Delineation, Naive Bayes Classifier, QRS Complex Detection, Short-Term ECG features, Statistical Analysis, T and P waves",
author = "Hani Saleh and Nourhan Bayasi and Baker Mohammad and Mohammed Ismail",
note = "Funding Information: The proposed system is part of a big project funded by Khalifa University of Science, Technology and Research (KUSTAR) and ATIC-SRC aiming at designing, developing, and implementing a fully integrated watch-based biomedical SoC using 65-nm GlobalFoundries fabrication facilities. Generally speaking, the proposed SoC which is shown in Fig. 3.2 is composed of the following modules. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.",
year = "2018",
doi = "10.1007/978-3-319-63973-4_3",
language = "British English",
series = "Analog Circuits and Signal Processing",
publisher = "Springer",
pages = "23--38",
booktitle = "Analog Circuits and Signal Processing",
address = "Germany",
}