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Nagano

Intelligent Gait Assistive Technologies

Gait Biomechanics and Machine Learning Applications in Rehabilitation and Injury Prevention

Medium: Buch
ISBN: 978-0-443-14104-1
Verlag: Elsevier Science
Erscheinungstermin: 01.03.2027
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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.

Produkteigenschaften

  • Artikelnummer: 9780443141041
  • Medium: Buch
  • ISBN: 978-0-443-14104-1
  • Verlag: Elsevier Science
  • Erscheinungstermin: 01.03.2027
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2027
  • Produktform: Kartoniert
  • Gewicht: 450 g
  • Seiten: 300
  • Format (B x H): 152 x 229 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Autoren

Hanatsu Nagano specializes in gait biomechanics with special focus on application for practical interventions. He invented the special shoe-insole that reduces tripping, falls, and improves dynamic balance, which was awarded ‘Most Innovative New Care Product in the World’ for the three consecutive years. He is experienced in working closely with industry-leading research & development projects including regenerative medical technology, management of knee osteoarthritis, wearable sensor application, artificial intelligence, exercise intervention, and active exoskeletons. His entrepreneurship and business communication skills have successfully established various international academia-industry-government collaborations. He sets his current missions in developing smart footwear for safe walking, inventing regenerative technology integrated knee orthosis, coordinating health enhancing intervention programs for government-leading initiatives, establishing further synergy effects based on research-industry linkage, and promoting Hybrid Assistive Limb (HAL) and its core philosophy, Cybernics, worldwide.

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