ECG Analysis and Cardiac Arrhythmia Prediction Using FDST and ANNs

Zusatztext

The purpose of this book is to introduce the readers with the novel method of Automatic ECG Arrhythmia classification using Fast Discrete Stockwell Transform (FDST) and Artificial Neural Network. The book is aimed to provide readers a practical knowledge about the biomedical signal processing using FDST. The book presents the process of ECG feature extraction using FDST to improve the practical experience of readers. It also provides the information related to the ANNs and their use in classification. Overall the book is expected to be beneficial for students working in filed of biomedical signal processing biomedical system design, Artificial Neural Networks and their use in Medical applications etc.

Autorenportrait

Raghuvendra Pratap Tripathi received his B.Tech, M.Tech degree in the field of Electronics and Communication Engineering and Embedded System Technology respectively from Amity University Uttar Pradesh. His specific interests lie in the Biomedical Signal Processing, Artificial Neural Networks, Intelligent Biomedical Devices and Embedded Systems.

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