Nonlinear Dynamics Approach to Robotic Capsule Endoscopy
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70 507 Ft
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Product details:
- Publisher Academic Press
- Date of Publication 28 November 2025
- ISBN 9780443288326
- Binding Paperback
- No. of pages214 pages
- Size 234x190 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Nonlinear Dynamics Approach to Robotic Capsule Endoscopy is an innovative resource that explores the development and progress of self-propelled capsule robots for medical use. This book guides readers from the initial conceptual stages to the final proof-of-concept demonstrations, with a special focus on applied dynamics principles. It introduces various mathematical modeling techniques that allow these robots to navigate and propel themselves within the human intestine. Researchers, professors, engineers, and postgraduate students alike will find this a crucial addition to their libraries.
The book's multidisciplinary approach ensures a thorough understanding of the subject, enabling the design of new driving technologies for capsule endoscopy. It combines theoretical foundations with practical insights, making it an invaluable resource for applied mathematics, robotics, and biomechanical engineering. The comprehensive coverage of this book provides guidance in designing and optimizing advanced medical devices, pushing the boundaries of current medical practices and advancing the field of capsule endoscopy.
- Provides modeling knowledge and techniques for designing and optimizing robots for intestinal applications
- Presents methods and approaches that cover a broad range of engineering applications, showcasing the practicality and versatility of the computational tools presented
- Combines robotics, applied mathematics, and engineering to address the challenges of developing medical robots for gastrointestinal endoscopic procedures and therapies, offering unique insights into the locomotion of capsule robots within the context of intestinal anatomy
Table of Contents:
1. Introduction
2. Capsule Endoscopy
3. Mathematical Modelling
4. Optimisation and Control
5. Prototype Design
6. Proof-of-Concept Validation and Ex Vivo Testing
7. Future Works
