Bioelectrical Signal Processing in Cardiac and Neurological Applications (Biomedical Engineering)
| Author | : | |
| Rating | : | 4.71 (738 Votes) |
| Asin | : | 0124375529 |
| Format Type | : | paperback |
| Number of Pages | : | 688 Pages |
| Publish Date | : | 2018-01-01 |
| Language | : | English |
DESCRIPTION:
The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. This book takes a unique problem-driven approach to biomedical signal proc
Department of Electrical Engineering, Lund University, Sweden
Excellent text on statistical biomedical signal analysis S. Shoham I am using this book as a primary textbook in a Biomedical Engineering undergraduate course on Biomedical signal analysis. The students in this class come with a fairly good background in linear systems, stochastic processes and physiology, and the purpose of the course is to integrate this knowledge, and actually apply it to real-world statistical biomedical signals. Previous iterations of the course relied on a general statistical signals book (Bendat & Piersol), together with physiological examples provided by the inst
The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing in Cardiac and Neurological Applications is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. From the Back Cover · A problem-driven, interdisciplinary presentation of biomedical signal processing· Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG)· Covers both classical and recent signal processing techniques· Emphasis on model-based statistical signal processing· Comprehen