Amazon cover image
Image from Amazon.com

Bioelectrical signal processing in cardiac and neurological applications / Leif Sörnmo, Pablo Laguna.

By: Contributor(s): ©2005Description: 1 online resource (xiii, 668 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780124375529
  • 0124375529
  • 9781435608047
  • 1435608046
  • 1281033227
  • 9781281033222
Subject(s): Genre/Form: Additional physical formats: Print version:: Bioelectrical signal processing in cardiac and neurological applications.LOC classification:
  • QP376 .S698 2005eb
NLM classification:
  • 2005 J-056
  • WL 150
Online resources:
Contents:
The electroencephalogram : a brief background -- EEG signal processing -- Evoked potentials -- The electromyogram -- The electrocardiogram : a brief background -- ECG signal processing -- ECG signal processing : heart rate variability.
Summary: 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. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applicationsthe two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. 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. Solutions Manual available online at http://www.textbooks.elsevier.com 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 Comprehensive exercises and illustrations Extensive bibliography Companion web site with project descriptions and signals for download.
Item type: eBooks
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

The electroencephalogram : a brief background -- EEG signal processing -- Evoked potentials -- The electromyogram -- The electrocardiogram : a brief background -- ECG signal processing -- ECG signal processing : heart rate variability.

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. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applicationsthe two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. 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. Solutions Manual available online at http://www.textbooks.elsevier.com 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 Comprehensive exercises and illustrations Extensive bibliography Companion web site with project descriptions and signals for download.

Print version record.

Elsevier ScienceDirect All Books

Copyright © 2020 Alfaisal University Library. All Rights Reserved.
Tel: +966 11 2158948 Fax: +966 11 2157910 Email:
librarian@alfaisal.edu