Model of the human arm stiffness exerted by two antagoniste muscles

Advances in Intelligent Systems and Computing

Volumn 540, Issue , 2017, Pages 285-292

  Borzelli, Daniele ^a   Pastorelli, Stefano ^a   Gastaldi, Laura ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

Ergonomics; Hill muscle; Stiffness control

Indexed keywords

ERGONOMICS; INTELLIGENT ROBOTS; MACHINE DESIGN; MUSCLE; ROBOTICS; STIFFNESS;

ELECTROMYOGRAPHIC SIGNAL; HEAVY LOADS; HUMAN ARM; INDUSTRIAL PRACTICES; NEW APPROACHES; REAL TIME; STIFFNESS CONTROL;

EXOSKELETON (ROBOTICS);

EID: 85007391578     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-49058-8_31     Document Type: Conference Paper

References (18)

1. van der Vorm, J., Nugent, R., O’Sullivan, L.: Safety and risk management in designing for the lifecycle of an exoskeleton: a novel process developed in the robo-mate project. Procedia Manuf. 3, 1410–1417 (2015)
2. Sylla, N., Bonnet, V., Colledani, F., Fraisse, P.: Ergonomic contribution of ABLE exoskeleton in automotive industry. Int. J. Ind. Ergon. 44(4), 475–481 (2014)
3. Hogan, N.: Adaptive control of mechanical impedance by coactivation of antagonist muscles. IEEE Trans. Autom. Control 29, 681–690 (1984)
4. Mussa-Ivaldi, F., Hogan, N., Bizzi, E.: Neural, mechanical, and geometric factors subserving arm posture in humans. J. Neurosci. 5, 2732–2743 (1985)
5. Ajoudani, A., Tsagarakis, N., Bicchi, A.: Tele-impedance: teleoperation with impedance regulation using a body-machine interface. Int. J. Ind., Ergon (2012)
6. Karavas, N., Ajoudani, A.: Tele-impedance based stiffness and motion augmentation for a knee exoskeleton device. In: Proceedings International Conference on ICRA. IEEE (2013)
7. Marieb, E.N., Hoehn, K.: Human Anatomy & Physiology. Pearson Benjamin Cummings, San Francisco (2007)
8. Buhrmann, T., Di Paolo, E.A.: Spinal circuits can accommodate interaction torques during multijoint limb movements. Front. Comput. Neurosci. 8, 144 (2014)
9. Hill, A.V.: The mechanics of active muscle. Proc. R. Soc. B Biol. Sci. 141(902), 104–117 (1953)
10. Kistemaker, D.A., Wong, J.D., Gribble, P.L.: The central nervous system does not minimize energy cost in arm movements. J. Neurophysiol. 104(6), 2985–2994 (2010)
11. Osu, R., Gomi, H.: Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals. J. Neurophysiol. 81, 1458–1468 (1999)
12. Hu, X., Murray, W., Perreault, E.: Muscle short-range stiffness can be used to estimate the endpoint stiffness of the human arm. J. Neurophysiol. 105, 1633–1641 (2011)
13. Iannotti, J.P., Parker, R.D.: The Netter Collections of Medical Illustrations: Musculoskeletal System, part I - Upper Limb, vol. 6, 2nd edn. Saunders, Philadelphia (2013)
14. Lichtwark, G., Watson, J.: Intensity of activation and timing of deactivation modulate elastic energy storage and release in a pennate muscle and account for gait-specific initiation of limb. J. Neurophysiol. 212, 2454–2463 (2009)
15. Inouye, J.M., Valero-Cuevas, F.J.: Muscle synergies heavily influence the neural control of arm endpoint stiffness and energy consumption. PLoS Comput. Biol. 12(2), e1004737 (2016)
16. Belforte, G., Gastaldi, L., Sorli, M.: Active orthosis for rehabilitation and passive exercise. In: Proceedings of the IV International Conference on Simulations in Biomedicine, BIOMED, pp. 199–208 (1997)
17. Galetto, M., Gastaldi, L., Lisco, G., Mastrogiacomo, L., Pastorelli, S.: Accuracy evaluation of a new stereophotogrammetry-based functional method for joint kinematic analysis in biomechanics. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 228(11), 1183–1192 (2014)
18. Takeda, R., Lisco, G., Fujisawa, T., Gastaldi, L., Tohyama, H., Tadano, S.: Drift removal for improving the accuracy of gait parameters using wearable sensor systems. Sensors 14, 23230–23247 (2014)