Biomedical Signal Processing
- ISBN: 9789381159040
- Author: N Vyas, S Khalid
- Number of Pages: 144
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Electrical Engineering By Nitin Saxena
The area of biomedical signal analysis has reached to the stage of advanced practical application of signal processing and pattern analysis techniques for efficient and improved invasive diagnosis, online monitoring of critically ill patients and rehabilitation and sensory aids for the handicapped.
In fact, Biomedical Signal Processing is a subject for undergraduate and post graduate students in electronics and biomedical engineering to touch the future trends in application of signal processing in biomedical system.
Biomedical Signal Processing is an important part of the biomedical signal analysis where students apply their knowledge to advanced practical application of signal processing and pattern analysis techniques in biomedical system for efficient and improved invasive diagnosis.
The authors present this book in a very lucid style such that even average student can understand the concepts and procedures of practical application of biomedical signal processing without much strain and is motivated to learn future trends in application of signal processing in biomedical system with more zeal and interest.
The text in this volume is divided into nine chapters.
Audience of the Book :
|This book has been written to meet the course on biomedical signal processing of Electronics and Biomedical Engineering curriculum for the undergraduate and postgraduate students.This book is primarily intended to serve as a text book in accordance with the syllabus of Biomedical Signal Processing offered by various universities in India as well as abroad.|
The detail analysis of concepts illuminated with illustrative examples is a unique feature of this book. Written in a student-friendly manner, the book is enriched with the following features:
1.Introduction to Biomedical Signals
2.Basics of Electrocardiography
3.Application of Computer in Biomedical Engineering
4.ECG QRS Detection
5.ST Segment Analyzer
6.Data Reduction Techniques