Dependence of helicopter pilots’ biodynamic feedthrough on upper limbs’ muscular activation patterns

Author(s):  
Pierangelo Masarati ◽  
Giuseppe Quaranta ◽  
Andrea Zanoni
Author(s):  
Andrea Zanoni ◽  
Giuseppe Quaranta ◽  
Pierangelo Masarati

The involuntary interaction of the pilot with a vehicle is often an undesired consequence of the biomechanical properties of the human body and its relation with the layout of the man-machine interface. This work discusses how muscular activation patterns affect the variability of the equivalent impedance of helicopter pilots. A multibody model is used to compute the joint torques associated to a prescribed pilot task, which are then transformed into corresponding ‘optimal’ muscular activation patterns. Equivalent pilot impedance is obtained by consistently linearizing the constitutive model of the muscles about the reference activation. The effect on equivalent impedance of non-optimal activation, resulting from the addition of Torque-Less Activation Modes to the optimal activation, is evaluated and discussed.


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Purpose: starting from an injury background, we assumed that the biceps brachii’s activations could have an important role in upper limbs injury. In this work we analyzed whether different activations of the biceps brachii impact on the power transfer of the punch and how boxers of different skill levels activate the biceps brachii when deliver a punch according to their skill level and efficacy. Methods: we enrolled, basing on official rankings, 23 skilled (n=6) and unskilled boxers. Subjects were instructed to perform three cross punches directed to a fixed elastic target triggered by the coach whistling, and were monitored through a surface electromyography sensor (EMG) on the biceps brachii to estimate the muscular activation during the performance, and through an accelerometer placed inside the elastic impact target to estimate the impact energy. We analyzed the oscillatory content of the EMG signal in order to assess the muscular activation between skilled and unskilled boxers, and between weak and strong punches. Results: both skilled and unskilled boxers threw strong, medium and weak strikes. Skilled boxers performed better than unskilled boxers (47% vs 25% in the “strong punch” category).The EMG analysis revealed a significant increase of lower and higher frequencies (2-4 Hz and 15-17 Hz) and a decrease on the medium frequencies (7-9 Hz) in the skilled boxers compared to the unskilled boxers in strong punches. Weak punches had a similar activation patterns in the two groups. Conclusions: our results support the hypothesis that skilled boxers adapt their activation pattern of the biceps to better stabilize the punch delivery (and thus increasing the transfer of force).


2021 ◽  
Vol 7 (15) ◽  
pp. eabf7800
Author(s):  
Jeremie Gaveau ◽  
Sidney Grospretre ◽  
Bastien Berret ◽  
Dora E. Angelaki ◽  
Charalambos Papaxanthis

Recent kinematic results, combined with model simulations, have provided support for the hypothesis that the human brain shapes motor patterns that use gravity effects to minimize muscle effort. Because many different muscular activation patterns can give rise to the same trajectory, here, we specifically investigate gravity-related movement properties by analyzing muscular activation patterns during single-degree-of-freedom arm movements in various directions. Using a well-known decomposition method of tonic and phasic electromyographic activities, we demonstrate that phasic electromyograms (EMGs) present systematic negative phases. This negativity reveals the optimal motor plan’s neural signature, where the motor system harvests the mechanical effects of gravity to accelerate downward and decelerate upward movements, thereby saving muscle effort. We compare experimental findings in humans to monkeys, generalizing the Effort-optimization strategy across species.


2010 ◽  
Vol 12 ◽  
pp. e189-e190
Author(s):  
T. Savage ◽  
C. Fantini Pagani ◽  
W. Potthast ◽  
G. Briiggemann

2021 ◽  
Author(s):  
Stefano Dalla Gasperina ◽  
Valeria Longatelli ◽  
Francesco Braghin ◽  
Alessandra Laura Giulia Pedrocchi ◽  
Marta Gandolla

Abstract Background: Appropriate training modalities for post-stroke upper-limb rehabilitation are key features for effective recovery after the acute event. This work presents a novel human-robot cooperative control framework that promotes compliant motion and renders different high-level human-robot interaction rehabilitation modalities under a unified low-level control scheme. Methods: The presented control law is based on a loadcell-based impedance controller provided with positive-feedback compensation terms for disturbances rejection and dynamics compensation. We developed an elbow flexion-extension experimental setup, and we conducted experiments to evaluate the controller performances. Seven high-level modalities, characterized by different levels of (i) impedance-based corrective assistance, (ii) weight counterbalance assistance, and (iii) resistance, have been defined and tested with 14 healthy volunteers.Results: The unified controller demonstrated suitability to promote good transparency and render compliant and high-impedance behavior at the joint. Superficial electromyography results showed different muscular activation patterns according to the rehabilitation modalities. Results suggested to avoid weight counterbalance assistance, since it could induce different motor relearning with respect to purely impedance-based corrective strategies. Conclusion: We proved that the proposed control framework could implement different physical human-robot interaction modalities and promote the assist-as-needed paradigm, helping the user to accomplish the task, while maintaining physiological muscular activation patterns. Future insights involve the extension to multiple degrees of freedom robots and the investigation of an adaptation control law that makes the controller learn and adapt in a therapist-like manner.


1999 ◽  
Vol 31 (Supplement) ◽  
pp. S284
Author(s):  
S. J. Shultz ◽  
D. H. Perrin ◽  
B. M. Gansneder ◽  
K. P. Granata ◽  
J. M. Adams ◽  
...  

Author(s):  
Francesco Scotto di Luzio ◽  
Francesca Cordella ◽  
Clemente Lauretti ◽  
Francesco Draicchio ◽  
Loredana Zollo

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