Eclectic/mixed model method for upper extremity functional recovery in stroke rehabilitation: A pilot study

Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot

Rehabilitation training and movement evaluation after stroke have become a research hotspot as stroke has become a very common and harmful disease. However, traditional rehabilitation training and evaluation are mainly conducted under the guidance of rehabilitation doctors. The evaluation process is time-consuming and the evaluation results are greatly influenced by doctors. In this study, a desktop upper limb rehabilitation robot was designed and a quantitative evaluation system of upper limb motor function for stroke patients was proposed. The kinematics and dynamics data of stroke patients during active training were collected by sensors. Combined with the scores of patients' upper limb motor function by rehabilitation doctors using the Wolf Motor Function Test (WMFT) scale, three different quantitative evaluation models of upper limb motor function based on Back Propagation Neural Network (BPNN), K-Nearest Neighbors (KNN), and Support Vector Regression (SVR) algorithms were established. To verify the effectiveness of the quantitative evaluation system, 10 healthy subjects and 21 stroke patients were recruited for experiments. The experimental results show that the BPNN model has the best evaluation performance among the three quantitative evaluation models. The scoring accuracy of the BPNN model reached up to 87.1%. Moreover, there was a significant correlation between the models' scores and the doctors' scores. The proposed system can help doctors to quantitatively evaluate the upper limb motor function of stroke patients and accurately master the rehabilitation progress of patients.

A systematic review of physical rehabilitation interventions for stroke in low and lower-middle income countries

Purpose: Approximately 70% of strokes occur in low and middle income countries, yet the effectiveness of physical rehabilitation in these contexts remains undetermined. This systematic review identifies and summarises the current evidence supporting physical rehabilitation interventions post-stroke in low and lower-middle income countries.Methods: Five databases were comprehensively searched (April 2017) for randomised controlled trials, clinical controlled trials, and cohort studies testing rehabilitation interventions post-stroke in these countries. The Effective Public Health Practice Project Tool assessed quality of included studies.Results: Sixty-two studies (2115 participants) were included. Interventions addressed upper limb (n = 26), lower limb (n = 22), and other (n = 14) outcomes. Seven studies were rated as strong in quality, 16 moderate and 39 rated as weak. Overall, in addition to usual care, physical rehabilitation interventions improved outcomes for stroke survivors. Best evidence synthesis provides level I (b) evidence supporting constraint induced movement therapy and mirror therapy to improve upper limb functional outcomes. Level I (b) evidence supports multimodal interventions that include lower limb motor imagery to improve gait parameters. Level II (b) evidence supports sit-to-stand training to improve balance outcomes.Conclusions: Exercise-based and brain training interventions improved functional outcomes post-stroke in low and lower-middle income countries. Further high-quality studies including participation outcomes are required.Implications for RehabilitationLow-cost physical rehabilitation interventions requiring minimal resources can improve functional outcomes after stroke in low and lower-middle income countries.Exercise-based interventions can improve upper limb, lower limb, gait, and balance outcomes after stroke.Brain training paradigms such as mirror therapy and motor imagery, when included in therapy packages, can improve upper limb and gait outcomes.The proven efficacy for rehabilitation interventions in improving stroke outcomes in low and lower-middle income countries supports the need to strengthen the rehabilitation workforce in this context.