Applied Mathematical Modeling for Biomedical Robotics and Wearable Devices
Series: Medical Robots and Devices: New Developments and Advances;
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69 673 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 4 September 2025
- ISBN 9780443335143
- Binding Paperback
- No. of pages300 pages
- Size 276x216 mm
- Weight 450 g
- Language English 693
Categories
Long description:
Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.
The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.
Table of Contents:
1. Introduction to Biomedical Robotics and Wearable Devices in Healthcare
2. Mathematical Modelling in Healthcare Engineering
3. Mathematical Foundations and Computational Techniques for Robotic Motion: A Unified Approach
4. Advanced Bio signal Processing and Emotion Recognition Through Artificial Intelligence
5. Optimization Algorithms for Design and Control
6. Kinematics and Dynamics of Surgical Robots
7. Sensor Fusion and Data Processing for Robot Control
8. Motion Planning and Trajectory Optimization for Robots
9. Safety and Stability Analysis of Robot Systems
10. Rehabilitation Robotics: Transforming Motor Recovery and Enhancing Patient-Centered Therapies
11. Biosignal Acquisition and Processing for Wearable Sensors
12. Principal Components with Folds For Feature Extraction And Anomaly Detection in Physiological Data Using Deep Neural Network
13. AI-enabled decision-making and predictive analytics applications
14. A Novel Ensemble Learning Approach for Leukemia Prediction using Hybrid Machine Learning Techniques
15. Ethical Considerations of Biomedical Robots and Wearable Devices
