Motion Analysis of Biological Systems: Advanced Theoretical and Computational Concepts
Editat de Rajat Emanuel Singhen Limba Engleză Hardback – 26 apr 2024
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Specificații
ISBN-13: 9783031529764
ISBN-10: 3031529766
Ilustrații: XXIII, 181 p. 51 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.47 kg
Ediția:2024
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031529766
Ilustrații: XXIII, 181 p. 51 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.47 kg
Ediția:2024
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Biomechanical Engineering.- Techniques for the analysis of biological motion.- Statistical Analysis approach in biomechanics.- Artificial Intelligence in detecting movement patterns.- Phase plane analysis of dynamic movement.- Mechanical Models (Hill Type Model).- Neural and contractile model of motor units (Fuglevand Model).- Cellular model (Renshaw Cells Model).- Control theory and stability for postural stability, movement regulation.- Neurophysiological aspects of asymmetric gait: Study on Transfemoral amputees.- Neurophysiological aspects of restored muscle coordination: Study on Spinal Cord Injury.
Notă biografică
Rajat Emanuel Singh is an Assistant Professor of Kinesiology at Northwestern College.
Textul de pe ultima copertă
This book bridges the gap between biomechanics and engineering and presents advanced concepts and techniques for the analysis of motion in biological systems. Advanced theoretical and computational concepts applied to motion analysis of biological systems are presented, as well as how these concepts can assist in identifying strategies and developing methodologies for effective rehabilitation, and even detecting movement-related disorders. This is an ideal book for biomedical engineers, physical therapists, and researchers and students studying motion analysis of biological systems.
Caracteristici
Presents the application of engineering principles (simulation, modeling, machine learning) Presents data acquired during daily movement activities to capture the interest of readers Serves as a guide for engineers and biomechanics scholars to decode a movement