CMOS Circuits for Biological Sensing and Processing

Srinjoy Mitra (u. a.)

ISBN 10: 3319884751 / ISBN 13: 9783319884752

Published by Springer, 2018

About this Item

CMOS Circuits for Biological Sensing and Processing | Srinjoy Mitra (u. a.) | Taschenbuch | viii | Englisch | 2018 | Springer | EAN 9783319884752 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 115379573

Bibliographic Details

• Title: CMOS Circuits for Biological Sensing and Processing
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319884751
• ISBN 13: 9783319884752
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 20D millimeters 235 millimeters width by 155 millimeters height by 20 millimeters depth
• Weight: 546 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides the most comprehensive and consistent survey of the field of IC design for Biological Sensing and Processing.  The authors describe a multitude of applications that require custom CMOS IC design and highlight the techniques in analog and mixed-signal circuit design that potentially can cross boundaries and benefit the very wide community of bio-medical engineers.

About the Author

Srinjoy Mitra is a lecturer at the University of Glasgow. He received his Ph.D. from the Institute of Neuroinformatics, ETH, Zurich in 2004. Until early 2016, he was part of the medical electronics division at IMEC, Belgium, and led multiple projects on wearable and implantable electronics. His primary research interest is in designing novel mixed-signal CMOS circuits for advancement in medical and neural electronics.

David Cumming, FRSE, FREng, FIEEE, is the Head of the School of Engineering at the University of Glasgow.  He holds a PhD in microelectronics from the University of Cambridge and leads the Microsystem Technology Group in Glasgow where he has pioneered a range of CMOS based sensor technologies including chemical sensing arrays using ion sensitive field effect transistors and the integration of nanophotonic technologies for imaging applications.