TY - CHAP A1 - Azzedine Dliou A2 - Samir Elouaham A3 - Rachid Latif A4 - Mostafa Laaboubi ED1 - Umashankar Lakshmanadoss Y1 - 2020-02-26 PY - 2020 T1 - Combination of the CEEM Decomposition with Adaptive Noise and Periodogram Technique for ECG Signals Analysis N2 - This book provides an excellent overview of the diagnosis of abnormal electrocardiograms (ECGs) through deep learning methods. These methods include optimal techniques that can link the processing and analysis of nonstationary ECG signals, the various statistical methods of converting ECG data into variant maps, and the application of various ways of identifying premature atrial beats, ECG characteristics of right and left ventricular tachyarrhythmia, and conditions producing left ventricular hypertrophy, including hypertrophic cardiomyopathy. This book is divided into two sections, including basic and practical applications of ECGs. We hope that it will serve as a reference for the techniques used to obtain and process electrical signals for ECGs. This book will also function as an excellent reference for atrial and ventricular tachyarrhythmia. BT - Practical Applications of Electrocardiogram SP - Ch. 2 UR - https://doi.org/10.5772/intechopen.86007 DO - 10.5772/intechopen.86007 SN - 978-1-78984-078-0 PB - IntechOpen CY - Rijeka Y2 - 2021-04-21 ER -