Investigating the Effect of Mass Variation for Sliding Mode Control of Functional Electrical Stimulation Aided Sit-to-Stand in Paraplegia

Presented is an evaluation of the sliding mode controller (SMC) for regulation of Functional Electrical Stimulation (FES) induced sit-to-stand (STS) movement considering a global human mass variation. It is aimed at the elimination of the retuning issue associated with control systems for different subjects. Results show that despite the changes in mass the control system maintained the tracking error close to zero; that is close to the desired, and without any disturbance scenario, it was also achieved within the suitable specifications. Thus, it shows that the SMC system can be employed to solve the issue of universality; therefore relieving the necessity of altering the control parameters always.

[1]  A. Pedotti,et al.  The relationship between electrical stimulus and joint torque: a dynamic model. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[2]  K. Flegal,et al.  Anthropometric Reference Data for Children and Adults: United States, 2011-2014. , 2016, Vital and health statistics. Series 3, Analytical studies.

[3]  B J Andrews,et al.  Computer simulation of FES standing up in paraplegia: a self-adaptive fuzzy controller with reinforcement learning. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[4]  Nur Azah Hamzaid,et al.  Mechanomyographic Parameter Extraction Methods: An Appraisal for Clinical Applications , 2014, Sensors.

[5]  B J Andrews,et al.  Optimal control of FES-assisted standing up in paraplegia using genetic algorithms. , 1999, Medical engineering & physics.

[6]  Yasuhisa Hasegawa,et al.  Sit-to-Stand and Stand-to-Sit Transfer Support for Complete Paraplegic Patients with Robot Suit HAL , 2010, Adv. Robotics.

[7]  N. Yu,et al.  CLOSED-LOOP CONTROL OF QUADRICEPS/HAMSTRING ACTIVATION FOR FES-INDUCED STANDING-UP MOVEMENT OF PARAPLEGICS , 2001 .

[8]  Rufaida Hussain,et al.  ANFIS-PID Control FES-Supported Sit-to-Stand in Paraplegics: (Simulation Study) , 2014 .

[9]  Owen Howlett,et al.  Functional electrical stimulation improves activity after stroke: a systematic review with meta-analysis. , 2015, Archives of physical medicine and rehabilitation.

[10]  Nur Azah Hamzaid,et al.  Mechanomyography and muscle function assessment: a review of current state and prospects. , 2014, Clinical biomechanics.

[11]  Ian Roberts,et al.  The weight of nations: an estimation of adult human biomass , 2012, BMC Public Health.

[12]  J. Choi,et al.  Factors influencing BMI classifications of Korean adults , 2015, Journal of physical therapy science.

[13]  Fabio Previdi,et al.  Closed-loop control of FES supported standing up and sitting down using Virtual Reference Feedback Tuning , 2005 .

[14]  G. P. Braz,et al.  Functional Electrical Stimulation Control of Standing and Stepping After Spinal Cord Injury: A Review of Technical Characteristics , 2009, Neuromodulation : journal of the International Neuromodulation Society.

[15]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[16]  F. Towhidkhah,et al.  Application of Nonlinear Model Predictive Controller for Fes-Assisted Standing Up in Paraplegia , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[17]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[18]  Laiq Khan,et al.  Simulation of a patient driven strategy for FES supported sit-to-stand movement , 2010, 2010 International Conference on Information and Emerging Technologies.

[19]  Rasha Massoud The Influence of Control Design on Energetic Cost during FES Induced Sit-to-Stand , 2014 .

[20]  A. Mokhtarian,et al.  Design of a Semi-Active Semi-Passive Assistive Device for Sit-to-Stand Tasks , 2008 .