Abstract—Rehabilitation exoskeletons require a control interface for the direct transfer of mechanical power and exchange of information in order to assist the patient in his/her movements. By using co-contraction indexes (CCI), it is possible to accurately characterize human movement and joint stability. But when dealing with human movement disorders, no existing index allows to achieve neuro-motor control with bio-kinematic sensors. Thus, we propose a neuro-motor interactive method for lower-body exoskeleton control. A novel dynamic index called neuro-motor index (NMI) is introduced to estimate the relation between muscular co-contraction derived from electromyography signals (EMG) and joint angles. To estimate the correlation in the state space and enhance the precision of the NMI, we describe an estimation method relying on a two-way analysis of canonical correlation (CCA). A thorough assessment is presented, by conducting two studies on control subjects and on patients with abnormal gait in a medical environment. i) An offline study on control patients showed that NMI captures the complex variation induced by changing walking speed more accurately than CCI, ii) an online study, applied on successive gait cycles of patients with abnormal walk indicates that the existing CCI have a low accuracy related with joint angles while it is significantly higher with NMI.
Index Terms—Exoskeleton for rehabilitation, co-contraction index, neuro-motor control, bio kinematic.
Jinan Charafeddine is with Biomedical/Control of Versailles University, LISV 10-12, avenue de l'Europe- 78140 Vélizy, France (e-mail: jinan.charafeddine@lisv.uvsq.fr).
Sylvain Chevallier is with Computer Science of Versailles University LISV 10-12, Avenue de l'Europe- 78140 Vélizy, France (e-mail: sylvain.chevallier@uvsq.fr).
Samer Alfayad is with Robotics of Versailles University. LISV 10-12, avenue de l'Europe- 78140 Vélizy, France (e-mail : samer.alfayad2@uvsq.fr).
Mohamad Khalil is with Biomedical, Lebanese University, Faculty of Engineering, EDST Elmitein street, 1300 Tripoli, Lebanon (e-mail: mohamad.khalil@ul.edu.lb).
Dider Pradon is with Biomechanics of Versailles University, END ICAP.104, Bd Raymond Poincaré 92380 Garches, France (e-mail: didier.pradon@aphp.fr).
[PDF]
Cite: Jinan Charafeddine, Sylvain Chevallier, Samer Alfayad, Mohamad Khalil, and Dider Pradon, "Biokinematic Control Strategy for Rehabilitation Exoskeleton Based on User Intention," International Journal of Modeling and Optimization vol. 9, no. 6, pp. 322-328, 2019.
