Objective To systematically evaluate the orthotic effect of functional electrical stimulation (FES) on the improvement of walking in stroke patients with foot drop. Methods The randomized controlled trials (RCTs) that investigated the orthotic effect of FES on walking in stroke patients with foot drop were electronically searched in the databases such as PubMed, Web of Science, The Cochrane Library (Issue 1, 2013), EMbase, CBM, CNKI, VIP and WanFang Data from January 2000 to January 2013, and the relevant references of included papers were also manually searched. Two reviewers independently screened the trials according to the inclusion and exclusion criteria, extracted the data, and assessed the methodology quality. The meta-analyses were performed using RevMan 5.1 software. Results A total of 8 RCTs involving 255 patients were included. The results of meta-analyses on 4 RCTs showed that, compared with the conventional rehabilitation intervention, the functional electrical stimulation could significantly improve the walking speed, with significant difference (MD=0.09, 95%CI 0.00 to 0.18, P=0.04). The other indicators were only descriptively analyzed due to the incomplete data. Conclusions Functional electrical stimulation is effective in improving walking speed, but it is uncertain of other therapeutic indicators. So it should be further proved by conducting more high quality, large sample and multi-center RCTs.
Objective To review the advances of functional electrical stimulation(FES) in treatment of peripheral nerve injuries. Methods By index of recent literature, the measures of stimulation, the mechanisms of FES and unsolved problems were evaluated and analyzed. Results Great advances have been made in the treatment of peripheral nerve injuries. It can not only enhance the regeneration of injured peripheral nerve, but also prevent muscular atrophy. Conclusion FES is an effective treatment for peripheral nerve injuries.
Tremor is an involuntary and repetitive swinging movement of limb, which can be regarded as a periodic disturbance in tremor suppression system based on functional electrical stimulation (FES). Therefore, using repetitive controller to adjust the level and timing of FES applied to the corresponding muscles, so as to generate the muscle torque opposite to the tremor motion, is a feasible means of tremor suppression. At present, most repetitive control systems based on FES assume that tremor is a fixed single frequency signal, but in fact, tremor may be a multi-frequency signal and the tremor frequency also varies with time. In this paper, the tremor data of intention tremor patients are analyzed from the perspective of frequency, and an adaptive repetitive controller with internal model switching is proposed to suppress tremor signals with different frequencies. Simulation and experimental results show that the proposed adaptive repetitive controller based on parallel multiple internal models and series high-order internal model switching can suppress tremor by up to 84.98% on average, which is a significant improvement compared to the traditional single internal model repetitive controller and filter based feedback controller. Therefore, the adaptive repetitive control method based on FES proposed in this paper can effectively address the issue of wrist intention tremor in patients, and can offer valuable technical support for the rehabilitation of patients with subsequent motor dysfunction.
Individuals with motor dysfunction caused by damage to the central nervous system are unable to transmit voluntary movement commands to their muscles, resulting in a reduced ability to control their limbs. However, traditional rehabilitation methods have problems such as long treatment cycles and high labor costs. Functional electrical stimulation (FES) based on brain-computer interface (BCI) connects the patient’s intentions with muscle contraction, and helps to promote the reconstruction of nerve function by recognizing nerve signals and stimulating the moving muscle group with electrical impulses to produce muscle convulsions or limb movements. It is an effective treatment for sequelae of neurological diseases such as stroke and spinal cord injury. This article reviewed the current research status of BCI-based FES from three aspects: BCI paradigms, FES parameters and rehabilitation efficacy, and looked forward to the future development trend of this technology, in order to improve the understanding of BCI-based FES.