ECG Signal Processing, Classification and Interpretation

Electrocardiogram recordings can reveal critical clinical information, and this book explains how computational intelligence methods, whether used on their own or blended together, can extract that information in a dependable way. Readers are led through the theory, the working methods, the algorithms, and real applications, with no prior specialist knowledge assumed. More demanding topics are unpacked gradually, one step at a time.

The material falls into three sections. The first introduces the core ideas of computational intelligence alongside the basics of how ECG data is collected, what the waveform looks like, and how it supports diagnosis. The second turns to the computational intelligence techniques and models best suited to processing these signals. The final section focuses on interpreting ECG findings for diagnosis and on the architectures used to build systems that capture expert knowledge.

To reinforce the concepts, the book includes short numerical experiments, detailed diagrams, exercises, and more challenging problems.