Rehabilitation with Functional Electrical Stimulation in Stroke Patients

Hara, Yukihiro

doi:10.4172/2329-9096.1000147

Cited by 37 publications

(26 citation statements)

References 40 publications

(47 reference statements)

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“…It has been shown that functional electrical stimulation (FES) has a positive effect for rehabilitation of upper limb motor functions in the stroke population. 2,3 Furthermore, it has been reported that the use of FES aids to preserve and restore muscle mass and its function after a period of reduced activity, 4 as well as to stimulate cortical reorganization after the neurological injury. 5 However, the non-physiological motor unit recruitment, the lack of muscle selectivity, and the need of a large amount of power to support the arm during reaching movements hinder the wide use of FES technologies in clinical settings.…”

mentioning

confidence: 99%

Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation

Resquín¹,

González-Vargas²,

Ibáñez³

et al. 2016

Eur J Transl Myol

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Hybrid robotic systems represent a novel research field, where functional electrical stimulation (FES) is combined with a robotic device for rehabilitation of motor impairment. Under this approach, the design of robust FES controllers still remains an open challenge. In this work, we aimed at developing a learning FES controller to assist in the performance of reaching movements in a simple hybrid robotic system setting. We implemented a Feedback Error Learning (FEL) control strategy consisting of a feedback PID controller and a feedforward controller based on a neural network. A passive exoskeleton complemented the FES controller by compensating the effects of gravity. We carried out experiments with healthy subjects to validate the performance of the system. Results show that the FEL control strategy is able to adjust the FES intensity to track the desired trajectory accurately without the need of a previous mathematical model.

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mentioning

confidence: 99%

Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation

Resquín¹,

González-Vargas²,

Ibáñez³

et al. 2016

Eur J Transl Myol

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“…The independent effectiveness of rehabilitation therapies for upper limbs based on robotic devices [109][110] and FES [111][112] has been presented in several publications. Likewise, the joint use of both technologies has shown good results in terms of motor rehabilitation after stroke [113][114].…”

Section: Rehabilitation Robotic Systemsmentioning

confidence: 99%

Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility

Hortal¹

2019

Springer Theses

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“…However, even after completing conventional therapy only 40-50% of stroke patients benefit from this intensive therapy (Schaechter 2004). In particular, stroke patients who had a unilateral paralysis rarely regain walking function to the point of effective ambulation (Hara 2013).…”

mentioning

confidence: 99%

Hybrid FES–robotic gait rehabilitation technologies: a review on mechanical design, actuation, and control strategies

Anaya

Thangavel

Huang

2018

Int J Intell Robot Appl

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Gait disorders in neurologically disabled people can be treated by various techniques available today which include passive orthoses, functional electrical stimulation (FES) and robot assisted gait training devices (RAGT). However, each system has its own drawback. For example, gait rehabilitation with orthosis is physically taxing for the patient with no significant functional improvement. FES uses muscle powers as physiological actuators to promote balance and improve gait but leads to fatigue, along with poor control of joint trajectories. RAGT devices including powered exoskeletons, gait rehabilitation systems employing programmable footplates and mobile training platforms, have shown significant advantages but the devices are not yet mature due to numerous drawbacks associated with physical and cognitive interaction, energy-management and portability issues. The combination of FES technology and RAGT devices, often named hybrid FES-robot technologies, has arisen as a promising approach to aid in gait restoration. This work reports a comprehensive review on the hybrid FES-robot technologies over the last decades, focusing on different mechanical structures, actuator designs, sensing technologies, and control approaches. The hybrid robotic structures are classified into two categories: (i) orthotic-based hybrid systems, where (a) FES is used to stimulate the muscles and produce joint torque while the robotic system acts as energy dissipating device, and (b) FES and robotic systems are both torque-generating devices; and (ii) non-orthotic based hybrid systems. The review compiles a variety of sources and illustrates the technology's most important challenges in the fields of hybrid rehabilitation robotics which may contribute towards further development of hybrid robot systems.

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Rehabilitation with Functional Electrical Stimulation in Stroke Patients

Cited by 37 publications

References 40 publications

Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation

Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation

Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility

Hybrid FES–robotic gait rehabilitation technologies: a review on mechanical design, actuation, and control strategies

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