Muscle Modelling, Analysis And Simulation Of A Physiological Motor Control System

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dc.contributor.author Armeen Saeed, 01-244221-001
dc.date.accessioned 2024-05-02T10:23:14Z
dc.date.available 2024-05-02T10:23:14Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17296
dc.description Supervised by Dr. Nadia Imran en_US
dc.description.abstract Understanding the process of standing up from a sitting position involves complex biomechanical interactions. Traditional models in biomechanics, which focus on basic movements, often fail to capture the intricate role of muscles. This study improves on current models by concentrating on the contribution of muscles to sit-to-stand movement, specifically addressing three joints in the sagittal plane (hip, knee, and ankle). Bond graph modelling (BGM) and Hill-type muscle models are used in the study to generate a more realistic representation of the sit-to-stand action. This work emphasizes on the alternate Hill-type model that helps to achieve a more thorough knowledge of muscle mechanics. The complete bond graph model is divided into two subsystems combined with PIDcontrollers, one is the actual system which represents the physiological framework and second is the virtual system which mimics the behavior of Central Nervous System (CNS). It is observed that lower torque results are achieved by the inclusion of muscles in the system as compared to earlier studies. This advancement directs the way toward a more individualized and successful rehabilitation processes, with important applications targeting rehabilitation robotics. The research adds to the creation of better assistive devices and rehabilitation programs by giving a more realistic model of human mobility. In conclusion, this work introduces an improved method to biomechanical modelling that provides a better understanding of the sit-to-stand action. It questions existing models and suggests a more thorough technique, bringing up new options for biomechanics and rehabilitation research. en_US
dc.language.iso en en_US
dc.publisher Electrical Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries MS(EE);T-2648
dc.subject Electrical Engineering en_US
dc.subject Delving into muscular dynamics en_US
dc.subject Bond graph modelling of model-V en_US
dc.title Muscle Modelling, Analysis And Simulation Of A Physiological Motor Control System en_US
dc.type Thesis en_US


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