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Blana, D.

Publications and source records attributed to Blana, D..

2 recordsLinked to original sources

Musculoskeletal design of the human shoulder: implications for neuromuscular control

The shoulder complex is a unique musculoskeletal structure capable of versatile motor behaviour yet requiring delicate control. The purpose of our work was to better understand the nature of musculoskeletal redundancy at the shoulder accounting for biomechanical demands and motor control strategies. Using a biomechanical model of the shoulder, we simulated a series of static exertions. Joint moment results from inverse dynamics were combined with an iterative sampling method to survey the landscape of feasible muscle activity patterns. By repeating the sampling process across different numbers of degrees of freedom at the shoulder, we demonstrate how emergent solutions are shaped by the biomechanical demands at each of the shoulder joints. Furthermore, we observed that the degree of musculoskeletal redundancy appears to be higher among the scapulohumeral muscles than the thoracohumeral and thoracoscapular muscles. Finally, we found that many of the muscle activity patterns requiring similar effort costs as the minimal effort solution have similar activation profiles, but there can be a wide range of possibilities especially at greater task intensities. Altogether, the simulations provide insight into neuromuscular control and musculoskeletal model decision-making process for the shoulder.

neuroscience↗

Model-based control of individual finger movements for prosthetic hand function

Prosthetic devices for hand difference have advanced considerably in recent years, to the point where the mechanical dexterity of a state-of-the-art prosthetic hand approaches that of the natural hand. Control options for users, however, have not kept pace, meaning that the new devices are not used to their full potential. Promising developments in control technology reported in the literature have met with limited commercial and clinical success. We have previously described a biomechanical model of the hand that could be used for prosthesis control. In this study, we report on three key elements of the biomechanical simulations relevant to prosthesis control: we show the performance of the model in replicating recorded hand kinematics and find average correlations of 0.89 between modelled and recorded motions; we show that the computational performance of the simulations is fast enough to achieve real-time control with a robotic hand in the loop; and we describe the use of the model for controlling object gripping. Despite some limitations in accessing sufficient driving signals, the model performance shows promise as a controller for prosthetic hands when driven with recorded EMG signals. We identify areas for future work to address these limitations.

bioengineering↗