Advances in Processing and Pattern Analysis of Biological Signals

  • Isak Gath
  • Gideon F. Inbar

Table of contents

  1. Front Matter
    Pages i-ix
  2. Processing and Pattern Analysis of Normal and Pathological EEG

    1. Front Matter
      Pages xi-xi
    2. Fernando H. Lopes da Silva, Jan-Pieter Pijn, Demetrios N. Velis
      Pages 21-31
    3. Arnon Cohen, Felix Flomen, Nir Drori
      Pages 45-55
    4. Isak Gath, Bernard Harris, Yoram Salant, Claude Feuerstein, Olaf Henriksen, Gérard Rondouin
      Pages 57-69
  3. Investigation of Psychophysiological Phenomena by Processing and Pattern Analysis of Evoked Potentials

    1. Front Matter
      Pages N1-N1
    2. Sergio Cerutti, Anna M. Bianchi, Diego Liberati
      Pages 85-102
    3. Amir B. Geva, Hillel Pratt, Yehoshua Y. Zeevi
      Pages 103-122
    4. Miram Furst, Irit Sha’aya-Segal, Hagit Messer
      Pages 137-144
  4. Processing and Pattern Analysis of Neuronal Cell Activity

    1. Front Matter
      Pages N3-N3
    2. Lance M. Optican, John W. McClurkin
      Pages 195-204
    3. Ad Aertsen, Michael Erb, Iris Haalman, Eilon Vaadia
      Pages 205-224
  5. Processing and Pattern Analysis of ECG in Health and Disease

    1. Front Matter
      Pages N5-N5
    2. Otto Rompelman, Ben J. TenVoorde
      Pages 225-234
    3. Sergio Cerutti, Maria G. Signorini
      Pages 235-249
    4. Roger G. Mark, George B. Moody
      Pages 251-272
    5. Solange Akselrod, Jacob Karin, Michael Hirsch
      Pages 297-305
  6. Processing and Pattern Analysis of EMG and Human Movement

    1. Front Matter
      Pages N7-N7
    2. Herman B. K. Boom, Willemien Wallinga
      Pages 319-338
    3. Edward A. Clancy, William R. Murray, Neville Hogan
      Pages 357-374
    4. Tamar Flash, Irina Gurevich, Ealan Henis
      Pages 391-411
    5. Ehud Bar-On, Anna Tolmacheva
      Pages 413-420
  7. Back Matter
    Pages 421-424

About this book


In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi­ cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen­ cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) and electrocardio­ grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EEG, accounts for some of the latest developments in the area of EEG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EEG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EEG, EEG recorded from psychiatric patients, and sleep EEG.


Radiologieinformationssystem behavior cell classification electrocardiogram (ECG) electroencephalography (EEG) evaluation population

Editors and affiliations

  • Isak Gath
    • 1
  • Gideon F. Inbar
    • 2
  1. 1.Department of Biomedical EngineeringTechnion-Israel Institute of TechnologyHaifaIsrael
  2. 2.Department of Electrical EngineeringTechnion-Israel Institute of TechnologyHaifaIsrael

Bibliographic information

Industry Sectors
Materials & Steel
Health & Hospitals
Consumer Packaged Goods