Electrical impedance tomography for tactile imaging : a primer for experimentalists / Elisabeth Smela ; with contributions from Ayush Nankani, Carlos Cuellar.

Format:

Book

Author/Creator:

Smela, Elisabeth, author.

Nankani, Ayush, author.

Cuellar, Carlos (Engineer), author.

Contributor:

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 23.

IOP series in sensors and sensor systems

IOP ebooks. 2023 collection.

[IOP release $release]

IOP ebooks. [2023 collection]

Language:

English

Subjects (All):

Detectors.

Electrical impedance tomography.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2024]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

Elisabeth Smela is a Professor of Mechanical Engineering at the University of Maryland. She received a BS in physics from MIT and a PhD in electrical engineering from the University of Pennsylvania. Dr Smela then worked as a research scientist in Linköping, Sweden and in Risø, Denmark before becoming Vice President of Research and Development at Santa Fe Science and Technology, NM. Dr Smela's research interests have focused on polymeric and cell-based sensors and actuators. She has served as Associate Dean for Faculty and Graduate Affairs, Equity Administrator, and Diversity Officer at the University of Maryland. She spent a year as a Jefferson Science Fellow at the Department of State to stand up the US-ASEAN Smart Cities Network. She has recently been working with a group of engineering faculty to better integrate sustainability concepts throughout the undergraduate curriculum.

Summary:

Electrical impedance tomography (EIT) is a technique employed in tactile sensing to create an image of impedance changes within a continuous sensor using electrodes placed only at the perimeter. This is advantageous for soft sensing 'e-skins' being developed for applications such as robotics and human-machine interactions. EIT was originally developed for medical diagnostics and has more recently been adopted for tactile imaging, which has distinct requirements and challenges. This book explains the fundamentals of EIT at a basic level, without requiring a high level of mathematical expertise, making it an accessible text for students and newcomers to the field. It also covers applications and challenges of the method, recent developments, and practical implications. Part of IOP Series in Sensors and Sensor Systems.

Contents:

1. Tactile imaging with electronic skins

1.1. Applications and requirements for e-skin

1.2. Approaches to e-skin design

1.3. Designs, structures, and fabrication of soft tactile sensors

1.4. Tactile e-skin requirements

1.5. Challenges to realization of soft, continuous tactile e-skins

1.6. Outlook for tactile e-skins

2. Use of electrical impedance tomography for tactile imaging

2.1. Overview

2.2. Introduction to EIT

2.3. Requirements for tactile imaging in comparison with medical imaging

2.4. EIT for tactile imaging literature

2.5. Capabilities and applications of EIT for tactile imaging

2.6. EIT tactile imaging configurations, conditions, reconstructions

2.7. Conclusions

3. Simulation conditions and performance metrics

3.1. Simulation methods

3.2. Metrics

4. In Layperson's terms, how does electrical impedance tomography work?

4.1. Overview

4.2. The measurements

4.3. The forward problem, using the sensitivity matrix approach

4.5. Regularization method

the prior

4.6. Practical implications : experimental configurations and parameter selection

4.7. Summary and conclusions

5. Effects of the hyperparameter

5.1. Qualitative effects of regularization

5.2. Quantitative effects of the hyperparameter

5.3. Effects of the hyperparameter for different injection-measurement patterns

5.4. Effects of the hyperparameter for different numbers of electrodes

5.5. Effects of the hyperparameter for different sizes and numbers of targets

5.6. Summary and conclusions

6. Noise

6.1. SNR in EIT

6.2. Dependence of noise susceptibility on measurement conditions and target characteristics

6.3. Summary and conclusions

7. Experimental decisions

7.1. Considering artefacts in hyperparameter selection

7.2. Considerations regarding the injection-measurement pattern

7.3. Summary and conclusions

Appendix A. EIT for structural health monitoring

Appendix B. Eigen-images

Appendix C. Sensitivity maps of J for all I-M, first seven measurement positions

Appendix D. Supplementary information related to chapter 4

Appendix E. Supplementary information related to chapter 5

Appendix F. Supplementary information related to chapter 6

Appendix G. Supplementary information related to chapter 7.

Notes:

"Version: 20240201"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on March 4, 2024).

Other Format:

Print version:

ISBN:

9780750354028

9780750354011

OCLC:

1424965843

Access Restriction:

Restricted for use by site license.