Title :
EMG-based neuromuscular modeling with full physiological dynamics and its comparison with modified hill model
Author :
Hayashibe, Mitsuhiro ; Guiraud, David ; Poignet, Philippe
Author_Institution :
LIRMM, INRIA Sophia-Antipolis, Montpellier, France
Abstract :
EMG-based muscle model has many applications in human-machine interface and rehabilitation robotics. For the muscular force estimation, so-called Hill-type model has been used in most of the cases. It has already shown its promising performance, however it is known as a phenomenological model considering only macroscopic physiology. In this paper, we discuss EMG-force estimation with the full physiology based muscle model in voluntary contraction. In addition to Hill macroscopic representation, a microscopic physiology description as stated by Huxley and Zahalak is integrated. It has significant meaning to realize the same kind of EMG-force estimation with multiscale physiology based model not with a phenomenological Hill model, because it brings the understanding of the internal biophysical dynamics and new insights about neuromuscular activations.
Keywords :
electromyography; muscle; neurophysiology; EMG-based neuromuscular modeling; EMG-force estimation; Hill macroscopic representation; full physiological dynamics; full physiology based muscle model; internal biophysical dynamics; microscopic physiology description; modified Hill model; multiscale physiology; neuromuscular activations; voluntary contraction; Action Potentials; Algorithms; Computer Simulation; Electromyography; Humans; Isometric Contraction; Models, Neurological; Muscle, Skeletal;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333147