scholarly journals The Effect of Active Trunk Training in Sitting Position on Balance and Energy Consumption in Early Stroke Patients

2017 ◽  
Vol 12 (4) ◽  
pp. 93-103 ◽  
Author(s):  
Jong-Duk Choi ◽  
Kyeoung-Man Jung
2015 ◽  
Vol 776 ◽  
pp. 337-342 ◽  
Author(s):  
I. Made Londen Batan ◽  
Rodika ◽  
Muhamad Riva'i

Three wheel bike as a physical therapy equipment for post-stroke patients was designed with length of 1937 mm, 1010 mm in width and height of 905 mm. The bike is designd ergonomic and can be driven by rider foot or hand simultaneously. By using CATIA software the strength of material bike frame was analyst to support 100 kg of load. The design is realized into a prototype. The performance of bike prototype is tested, and the result sows that the function of bike mechanisme is fulfilled. By 10 respondents, who have a standard body mass index, the pedal test was conducted, and the result indicates that, the higher the speed of the pedal, the higher the energy consumption to pedaling. Leg tension muscles is measured by leg-dynamometer before and after pedaling, and the result shows the tension muscle is proportional to the increase of pedal speed. In order to evaluate the ergonomic aspect of bike design, the risk angle of extrem position of body during cycling are measured by goneo-set. By RULA method the risk of injury value of rider body is calculated while pedaling, and the result showed that 70% of respondents have a value of risk injury 2, while 30% had a value of 3. It means that, the bike design is ergonomic and comfortable to ride. In oder to evaluate the benefits of disigned bike, the pedal test is conducted by 4 post-stroke patients for 30 days periodical once every 3 days. The result shows that during 1 month exercise, the average number of cycling to pedal increase up to 100%. This means that the ability of post-stroke patients to pedal the bike increase significantly. That result showed that the bike design is useful as a tool for physical therapy post-stroke patients.


2018 ◽  
Vol 9 (1) ◽  
pp. 161-166 ◽  
Author(s):  
Grant C. O’Connell ◽  
Julia H.C. Chang

Abstract Growing evidence suggests that stroke alters the phenotype of the peripheral immune system; better characterization of this response could provide new insights into stroke pathophysiology. In this investigation, we employed a deconvolution approach to informatically infer the cellular composition of the circulating leukocyte pool at multiple timepoints following stroke onset based on whole blood mRNA expression. Microarray data generated from the peripheral blood of 23 cardiovascular disease controls and 23 ischemic stroke patients at 3, 5, and 24 hours post-symptom onset were obtained from a public repository. Transcriptomic deconvolution was used to estimate the relative counts of nine leukocyte populations based on the expression of cell-specific transcripts, and cell counts were compared between groups across timepoints. Inferred counts of lymphoid cell populations including B-cells, CD4+ T-cells, CD8+ T-cells, γδ T-cells, and NK-cells were significantly lower in stroke samples relative to control samples. With respect to myeloid cell populations, inferred counts of neutrophils and monocytes were significantly higher in stroke samples compared to control samples, however inferred counts of eosinophils and dendritic cells were significantly lower. These collective differences were most dramatic in samples collected at 5 and 24 hours post-symptom onset. Findings were subsequently confirmed in a second dataset generated from an independent population of 24 controls and 39 ischemic stroke patients. Collectively, these results offer a comprehensive picture of the early stroke-induced changes to the complexion of the circulating leukocyte pool, and provide some of the first evidence that stroke triggers an acute decrease in eosinophil counts.


Sign in / Sign up

Export Citation Format

Share Document