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Intelligent Gait Assistive Technologies: Gait Biomechanics and Machine Learning Applications in Rehabilitation and Injury Prevention

Autor Rezaul Begg, Hanatsu Nagano
en Limba Engleză Paperback – 30 noi 2024
Intelligent Gait Assistive Technologies: Gait Biomechanics and Machine Learning Applications in Rehabilitation and Injury Prevention brings together contemporary research and applications to show how gait biomechanics combined with machine learning can be used to develop techniques to provide safer, more mechanically efficient locomotion to individuals with significant visual, musculoskeletal, or neurological deficits. Developments in gait rehabilitation and injury prevention outlined in this book will contribute to improved quality of life for individuals with gait-related impairments, with a major contribution to medical cost savings due to reduction in falls. Researchers, engineers, and students in biomedical engineering and biomechanics will find this a welcomed reference in better understanding the role of machine learning and intelligent technologies in the advancement of gait rehabilitation and injury reduction to both impaired and healthy individuals.


  • Combines gait biomechanics, assistive technologies, and machine learning to showcase applications in healthcare
  • Presents a state-of-the-art reference with exoskeletons and assistive devices and emerging techniques
  • Introduces an easy-to-understand format by engineers and health professionals
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Specificații

ISBN-13: 9780443141041
ISBN-10: 0443141045
Pagini: 300
Dimensiuni: 151 x 229 mm
Editura: ELSEVIER SCIENCE

Cuprins

Part I: Gait Biomechanics - Tripping, Slipping and Balance Loss
1. Fundamentals of Gait Biomechanics
2. Kinematics and Kinetics of Lower Limb Swing Phase Trajectory Control
3. Minimum Foot-Ground Clearance (MFC) and Tripping Probability Modelling
4. Required Coefficient of Friction (RCOF) and Slipping Prediction
5. Gait Adaptations due to Ageing, Injury and Pathologies
6. Gait Impairments Causing Tripping, Slipping and Balance Loss

Part II: Gait Assisting Techniques and Devices
7. Biofeedback-Based Gait Training Interventions
8. Passive Exoskeletons
9. Active Exoskeletons
10. Intelligent Footwear: Smart Insoles, Shoe-Mounted Sensors

Part III: Machine Learning Applications to Gait Assisting Techniques
11. Predicting Gait Kinematics from Inertial Sensors
12. Limb Trajectory Prediction (i): Critical Failure Events
13. Limb Trajectory Prediction (ii): Intelligent Assistive Device Control and Tripping Hazard Recognition

Part IV Conclusions, Emerging Techniques and Future Directions
14. Future Challenges in Rehabilitation and Injury Prevention
15. Research Directions in Gait Biomechanics and Machine Learning
16. References