[2B2] Matsuoka non-linear oscillator integration for investigating Parkinsonian tremor dynamics through multi-body simulation
A Zippo and F Pellicano
University of Modena and Reggio Emilia, Italy
Parkinson’s disease (PD) stands as a relentless neurodegenerative condition marked by a cascade of motor symptoms, such as tremors, rigidity and bradykinesia. Among these manifestations, tremor emerges as a central feature, exerting a profound impact on the daily lives of those afflicted. Unravelling the complexities of Parkinsonian tremor dynamics holds importance in shaping innovative treatment modalities and interventions aimed at enhancing the well-being of individuals grappling with PD.
In recent years, computational modelling techniques have emerged as powerful tools for investigating the complex dynamics of Parkinsonian tremor. Among these techniques, multi-body simulation offers a versatile framework for analysing the biomechanical interactions within the musculoskeletal system. By incorporating realistic anatomical structures and physiological parameters, multi-body simulations enable researchers to mimic the dynamics of tremor generation and propagation in the upper limb with high fidelity.
The integration of the Matsuoka non-linear oscillator into the multi-body simulation framework presents a novel approach for investigating Parkinsonian tremor dynamics. Inspired by neural circuitry underlying rhythmic movements in biological systems, the Matsuoka oscillator captures the non-linear dynamics of neuromuscular interactions, producing oscillatory patterns closely resembling tremor characteristics observed in individuals with PD. By leveraging this integration, researchers can replicate pathological tremor phenomena and investigate the underlying mechanisms driving tremor generation.
This paper provides a comprehensive overview of the methodology employed for modelling the upper limb and implementing the Matsuoka non-linear oscillator within a multi-body simulation framework. Through the synergistic combination of multi-body simulation and the Matsuoka non-linear oscillator, this study contributes to advancing our understanding of Parkinsonian tremor dynamics and lays the foundation for developing personalised therapeutic interventions for individuals with PD.
In recent years, computational modelling techniques have emerged as powerful tools for investigating the complex dynamics of Parkinsonian tremor. Among these techniques, multi-body simulation offers a versatile framework for analysing the biomechanical interactions within the musculoskeletal system. By incorporating realistic anatomical structures and physiological parameters, multi-body simulations enable researchers to mimic the dynamics of tremor generation and propagation in the upper limb with high fidelity.
The integration of the Matsuoka non-linear oscillator into the multi-body simulation framework presents a novel approach for investigating Parkinsonian tremor dynamics. Inspired by neural circuitry underlying rhythmic movements in biological systems, the Matsuoka oscillator captures the non-linear dynamics of neuromuscular interactions, producing oscillatory patterns closely resembling tremor characteristics observed in individuals with PD. By leveraging this integration, researchers can replicate pathological tremor phenomena and investigate the underlying mechanisms driving tremor generation.
This paper provides a comprehensive overview of the methodology employed for modelling the upper limb and implementing the Matsuoka non-linear oscillator within a multi-body simulation framework. Through the synergistic combination of multi-body simulation and the Matsuoka non-linear oscillator, this study contributes to advancing our understanding of Parkinsonian tremor dynamics and lays the foundation for developing personalised therapeutic interventions for individuals with PD.
