Functional Electrical Stimulation mediated by Iterative Learning Control and 3D robotics reduces motor impairment in chronic stroke

Background: Novel stroke rehabilitation techniques that employ electrical stimulation (ES) and robotic technologies are effective in reducing upper limb impairments. ES is most effective when it is applied to support the patients’ voluntary effort; however, current systems fail to fully exploit this connection. This study builds on previous work using advanced ES controllers, and aims to investigate the feasibility of Stimulation Assistance through Iterative Learning (SAIL), a novel upper limb stroke rehabilitation system which utilises robotic support, ES, and voluntary effort. Methods: Five hemiparetic, chronic stroke participants with impaired upper limb function attended 18, 1 hour intervention sessions. Participants completed virtual reality tracking tasks whereby they moved their impaired arm to follow a slowly moving sphere along a specified trajectory. To do this, the participants’ arm was supported by a robot. ES, mediated by advanced iterative learning control (ILC) algorithms, was applied to the triceps and anterior deltoid muscles. Each movement was repeated 6 times and ILC adjusted the amount of stimulation applied on each trial to improve accuracy and maximise voluntary effort. Participants completed clinical assessments (Fugl-Meyer, Action Research Arm Test) at baseline and post-intervention, as well as unassisted tracking tasks at the beginning and end of each intervention session. Data were analysed using t-tests and linear regression. Results: From baseline to post-intervention, Fugl-Meyer scores improved, assisted and unassisted tracking performance improved, and the amount of ES required to assist tracking reduced. Conclusions: The concept of minimising support from ES using ILC algorithms was demonstrated. The positive results are promising with respect to reducing upper limb impairments following stroke, however, a larger study is required to confirm this

Imagination for re-engagement from the margins of education

For marginalised secondary school students, mainstream education may no longer appear to be an inviting place. While proposed solutions to problems of disengagement and marginalisation appear to concentrate on finding ways to coerce students back to mainstream education through, for example, ‘learning or earning’ legislation, this article suggests that more effective solutions may be found by engaging with the students in the margins that they occupy. Following discussion of key influences on student disengagement and a theory of imaginations, a ‘students-as-researchers’ (SaR) model of working with young people is discussed to demonstrate that, through the scaffolded application of active imagination, it is possible for such students to identify and create their own connections to the mainstream. The SaR model is illustrated through reference to groups of disaffected high school students who participated in an action research project to investigate apparent low aspiration for tertiary education among their peers at schools serving low-income communities in Queensland, Australia

Phase-lead Iterative Learning Control Algorithms for Functional Electrical Stimulation based Stroke Rehabilitation

A control system for stroke rehabilitation is developed which combines electrical stimulation with a robotic support system to provide assistance to stroke patients performing 3D upper limb reaching tasks in a virtual reality environment. The electrical stimulation is applied to two muscles in the subject's arm using an iterative learning control scheme which learns from data collected over previous trials of the task in order to achieve accurate movement. The principal components of the system are described and experimental results confirm its feasibility for application to upper limb stroke rehabilitation

SAIL: A 3D rehabilitation system to improve arm function following stroke

In the April 2011 issue of Progress in Neurology and Psychiatry, an article was published describing a 3D robotic and electrical stimulation system known as SAIL (Stimulation Assistance through Iterative Learning). This system was developed at the University of Southampton for rehabilitation of arm movement post stroke

COGNITIVE AND NEUROPSYCHIATRIC STATUS IN A LARGE COHORT OF PATIENTS WITH SECONDARY PROGRESSIVE MULTIPLE SCLEROSIS The combined influence of parental education and preterm birth on school performance

Background Social background and birth characteristics are generally found to be independently associated with school achievements but the underlying mechanisms are not fully understood. This study aimed to explore how parental education and shorter gestational age jointly influence school performance in a cohort of Swedish children. Methods 10 835 children born between 1973 and 1981 were studied, the third generation of the register-based Uppsala Multigenerational Birth Cohort. Ordinal logistic regression models were fitted to estimate OR of achieving middle and high grades in Swedish language at age 16 years, relative to low grade, by parental education and own gestational age, adjusting for potential confounders. Results In children from families with lower parental education, the adjusted OR of receiving a higher grade was 0.54 (95% CI 0.41 to 0.71) for preterm (<37 completed weeks) compared with full-term births. This estimate did not change when adjusted for several potential confounders (0.59; CI 0.44 to 0.79). When different cut-points were selected to define preterm birth, the estimated OR for those with low parental education decreased linearly from 0.83 (CI 0.72 to 0.96) using less than 39 weeks as the cut-point, to 0.52 (CI 0.30 to 0.90) using less than 35 weeks. There was no evidence of significant effects of shorter gestational age for children with parents from other educational groups. Conclusions The disadvantage of shorter gestational age on the chance of achieving higher grades in Swedish language was confined to children from families in which none of the parents had higher education. This suggests that the detrimental influence of shorter gestational age on school performance in language may be avoidable