A Wavelet-Based ECG Delineation and Automated Diagnosis of Myocardial Infarction in PTB Database Rachid HADDADI *, Elhassane ABDELMOUNIM*, Mustapha EL HANINE*, Abdelaziz BELAGUID** haddadirachid@hotmail.com, hassan.abdelmounim@hotmail.fr, melhanine@yahoo.fr * Laboratory of Systems Analysis and Information Processing, Faculty of Sciences and Technics, Hassan first University, Settat, Morocco. ** Laboratory of physiology, Mohammed-V University Rabat, Morocco Abstract. In this work, we present an ECG delineation and the automated diagnosis of coronary artery disease in the electrocardiogram (ECG). In preprocessing stage, the baseline wander (BLW) and 60 Hz power line interference (PLI) were removed using discrete wavelet transform (DWT). The QRS detection is carried out using Daubechies (Db4) DWT. Feature extraction and classification is done using a convolutional neural network (CNN) containing three convolutional layers, three max-pooling layers, and three fully connected layers. The standard 12 lead ECG signals of 50 healthy subjects and 50 myocardial infarction subjects (MI) of one minute are obtained from the Physikalisch- Technische Bundesanstalt (PTB) database. We achieved an accuracy of 94.83%. sensitivity of 94.75%, and specificity of 94.93% on PTB database. Keywords: Electrocardiogram, DWT, QRS complex, Convolutional neural network. 1 Introduction Cardiovascular disease is the leading cause of death in the world. According to the World Health Organization (WHO), more than 17.7 million people die each year due to cardiovascular disease, representing 31% of total global mortality [1]. This number is in permanent growth. The main risk factors are obesity, tobacco, high blood pressure, diabetes and genetic factors. Ischemic heart disease happens when coronary arteries get narrower and reduce the blood flow to the heart. This is also called coronary heart disease (CHD). This can ultimately lead to the heart attack [2]. The electrocardiogram (ECG) is the most used cardiological examination at hospitals and cardiology offices to diagnose heart disease. It is easy to set up, painless and inexpensive. As illustrated in Figure 1, an ECG is a series of waves and deflections recording the heart’s electrical activity from a certain view. Each view called a lead, monitor voltage changes between electrodes placed in different positions on the body. Leads I, II, and III are bipolar leads. Leads aVR, aVL, aVF, V1 through V6 are unipolar leads. An ECG tracing looks different in each lead because the recorded angle of electrical activity changes with each lead [3]. The ECG signal is characterized by a recurrent wave sequence of P, QRS, and T-wave associated with each beat. Each wave of the ECG represents a phase of heart functioning. Each deformation detected on the duration and the forms of these waves can be considered as an indicator of cardiac abnormalities. ICCWCS 2019, April 24-25, Kenitra, Morocco Copyright © 2019 EAI DOI 10.4108/eai.24-4-2019.2284216