The electrocardigram (ECG) is a recording of the electrical activity of the heart that is used to diagnose heart disorders. In recent years, new state-of-the-art approaches to ECG analysis have emerged that are now of significant interest to biomedical and electrical engineers, as well as healthcare professionals. This practical book is the first one-stop resource to offer a thorough, up-to-date treatment of the techniques and methods used in ECG data analysis, from fundamental principles to the latest tools in the field. The book places emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques. Professionals find guidance on designing, implementing, and evaluating software systems used for the analysis of ECG and related data. Moreover, this comprehensive resource offers a solid grounding in the relevant basics of physiology, data acquisition and database design, and addresses the practical issues of improving existing data analysis methods and developing new applications.

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