Signals and Systems in Biomedical Engineering

Signal Processing and Physiological Systems Modeling

  • Suresh R. Devasahayam

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Suresh R. Devasahayam
    Pages 11-30
  3. Suresh R. Devasahayam
    Pages 31-66
  4. Suresh R. Devasahayam
    Pages 67-100
  5. Suresh R. Devasahayam
    Pages 101-138
  6. Suresh R. Devasahayam
    Pages 139-164
  7. Suresh R. Devasahayam
    Pages 165-180
  8. Suresh R. Devasahayam
    Pages 181-196
  9. Suresh R. Devasahayam
    Pages 197-208
  10. Suresh R. Devasahayam
    Pages 209-234
  11. Suresh R. Devasahayam
    Pages 235-266
  12. Suresh R. Devasahayam
    Pages 267-294
  13. Suresh R. Devasahayam
    Pages 295-308
  14. Suresh R. Devasahayam
    Pages 309-320
  15. Suresh R. Devasahayam
    Pages 321-328
  16. Back Matter
    Pages 329-337

About this book


In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.


Fourier analysis Potential Signal Software analog biomedical engineering digital signal processing filtering model modeling physiology signal processing simulation skeletal muscle system identification

Authors and affiliations

  • Suresh R. Devasahayam
    • 1
  1. 1.School of Biomedical EngineeringIndian Institute of TechnologyBombayIndia

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic/Plenum Publishers, New York 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6929-5
  • Online ISBN 978-1-4615-4299-5
  • Series Print ISSN 1568-1033
  • Buy this book on publisher's site
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