Background: Exercise is safe and beneficial for people with multiple sclerosis (MS). Functional electrical stimulation (FES) cycling offers people with significant weakness and mobility challenges an option for exercise. We sought to evaluate the safety of FES cycling and its potential to improve fatigue, pain, spasticity, and quality of life in people with moderate-to-severe MS.
Methods: Sixteen participants with MS who were nonambulatory cycled for 30 minutes two to three times a week for 1 month. Outcomes assessed included MS Quality of Life Inventory (MSQLI) subscales, Modified Ashworth Scale (MAS), and manual muscle test (MMT).
Results: Fourteen participants (six women and eight men) with MS completed the training. All were able to maintain or increase their cycle time; half increased the resistance while cycling. Participants demonstrated a significant decrease in the Physical (P = .02) and Psychosocial (P < .01) subscales of the Modified Fatigue Impact Scale. There was no significant change in the other MSQLI subscale scores. There was no change in MAS and MMT scores. Type of MS and the use of antispasticity medications, disease-modifying therapies, or dalfampridine did not seem to influence response to training. There were no adverse events.
Conclusions: Functional electrical stimulation cycling may be a viable and effective exercise option for people with moderate-to-severe MS. Further study is required to examine the parameters of FES cycling that are most effective for people with different MS symptoms and to fully explore the potential benefits of optimizing function and improving health in people with MS.
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http://dx.doi.org/10.7224/1537-2073.2015-036 | DOI Listing |
ACS Nano
January 2025
School of Engineering, RMIT University, 124 La Trobe Street, Melbourne, Victoria 3001, Australia.
Modern-day applications demand onboard electricity generation that can be achieved using piezoelectric phenomena. Reducing the dimensionality of materials is a pathway to enhancing the piezoelectric properties. Transition-metal dichalcogenides have been shown to exhibit high piezoelectricity.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
February 2025
Zhejiang Weilian Technology Co., Ltd, Jiaxing, China.
Functional and esthetic results require accurate implant placement. We aimed to develop a predictive method for assessing dental implant accuracy, and to evaluate the cumulative system influence of surgical guides. A mathematical model was constructed to determine the influence of surface changes on a specific point, using Jacobian matrix expressions.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Computing, University of North Florida, 1 UNF Dr., Jacksonville, 32246, FL, USA.
The "no-show" problem in healthcare refers to the prevalent phenomenon where patients schedule appointments with healthcare providers but fail to attend them without prior cancellation or rescheduling. In addressing this issue, our study delves into a multivariate analysis over a five-year period involving 21,969 patients. Our study introduces a predictive model framework that offers a holistic approach to managing the no-show problem in healthcare, incorporating elements into the objective function that address not only the accurate prediction of no-shows but also the management of service capacity, overbooking, and idle resource allocation resulting from mispredictions.
View Article and Find Full Text PDFProtoplasma
January 2025
Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Stay-green (SG) and stem reserve mobilization (SRM) are two significant mutually exclusive traits, which contributes to grain-filling during drought and heat stress in wheat. The current research was conducted in a genome-wide association study (GWAS) panel consisting of 278 wheat genotypes of advanced breeding lines to find the markers linked with SG and SRM traits and also to screen the superior genotypes. SG and SRM traits, viz.
View Article and Find Full Text PDFLangmuir
January 2025
State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.
Realizing reliable online detection of characteristic gases (H, CH, CO, and CO) in lithium-ion batteries is crucial to maintain the safe and stable operation of power equipment and new energy storage power plants. In this study, transition metal Pt ( = 1, 3, and 4) clusters are attached to MoSe nanosheets for the first time based on density functional theory using the perfect crystalline facet modification method, and the adsorption characteristics and electronic behaviors of H, CH, CO, and CO are investigated and enhanced. The results show that Pt ( = 1, 3, and 4) is reliably chemically connected to the substrate without any significant deformation of the geometry.
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