MATERIALS AND METHODS: Eighty patients for laparoscopic surgery with at least one of the determined risks (nonsmoker, female, previous PONV/motion sickness, or postoperative opioid use) were randomized into either an active or sham group. At the end of surgery, Reletex electrical acustimulation was placed at the P6 acupoint. The active group had grade 3 strength and the sham group had inactivated electrodes covered by silicone. It was worn for 24 h following surgery. PONV scores were recorded.
RESULTS: The active group had significantly shorter durations of surgery and lower PONV incidence over 24 h (35.1% versus 64.9%, P = 0.024) and this was attributed to the lower incidence of nausea (31.4% versus 68.6%, P = 0.006). The overall incidence of vomiting was not significantly different between the groups, but it was higher in the sham group of patients with PONV risk score 3 (23.9%, P = 0.049).
CONCLUSION: In patients at high risk for PONV, P6 acupoint electrical stimulation lowers the PONV incidence by reducing the nausea component. However, this reduction in nausea is not related to increasing PONV risk scores.
METHODS: Web of Science, Scopus, ScienceDirect, IEEE Xplore, and Google Scholar databases were searched for relevant studies published between January 2013 and July 2019. The quality of the included studies was objectively evaluated using the Downs and Black checklist.
RESULTS: A total of 129 articles on FES cycling were retained for analysis. A total of 51 articles related to Cybathlon were reviewed, and 14 articles were ultimately evaluated for the quality. In 2017, the year following the Cybathlon championship, Web of Science cited 23 published studies on the championship, which was almost 5-fold more than that in 2016 (n = 5). Training was most often reported as a topic of interest in these studies, which mostly (76.7%) highlighted the training parameters of interest to participating teams in their effort to maximize their FES cycling performance during the Cybathlon championship.
CONCLUSION: The present study indicates that the Cybathlon championship in 2016 contributed to the number of literature published in 2017 on FES cycling for individuals with SCI. This finding may contribute to the lessons that can be learned from participation in the Cybathlon and potentially provide additional insights into research in the field of race-based FES cycling.
METHODS: We conducted a comprehensive search of published articles in electronic databases, including PubMed, Scopus, PEDro, Medline (via Ovid), EMBASE, Cochrane Library, and Web of Science, using the following search terms: "stroke"; "upper extremity"; "Constraint-Induced Movement Therapy"; and "Neuromuscular Electrical Stimulation." The search included published studies, conferences, and presentations. The article selection, data extraction, and quality evaluation will be conducted independently by 2 reviewers. The 3rd and 4th reviewers will assist in resolving any disagreements that may arise between the 2 reviewers. The risk of bias in the included studies will be assessed using the PEDro scale and Cochrane risk of bias assessment tool. Narrative synthesis and meta-analysis will be performed based on the characteristics of the included articles, including the risk of bias (if sufficient information is available).
RESULTS: This review summarizes the available evidence and could assist therapists in choosing the best treatment for poststroke upper extremity dysfunction.
CONCLUSION: This study will provide the available evidence on the effectiveness of CIMT and NMES on upper extremity function in patients with stroke.
ETHICS AND DISSEMINATION: Ethical approval is not required because the review will be based on publicly available literature. The findings of this study will be published in a peer-reviewed journal, and updates will be made depending on whether sufficient additional evidence modifies the conclusions of the review. Any changes made to the methods throughout the review will be stated in the article.
SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023415645.
METHODS: The model was developed to estimate knee torque from experimentally derived MMG signals and other parameters related to torque production, including the knee angle and stimulation intensity, during NMES-assisted knee extension.
RESULTS: When the relationship between the actual and predicted torques was quantified using the coefficient of determination (R2), with a Gaussian support vector kernel, the R2 value indicated an estimation accuracy of 95% for the training subset and 94% for the testing subset while the polynomial support vector kernel indicated an accuracy of 92% for the training subset and 91% for the testing subset. For the Gaussian kernel, the root mean square error of the model was 6.28 for the training set and 8.19 for testing set, while the polynomial kernels for the training and testing sets were 7.99 and 9.82, respectively.
CONCLUSIONS: These results showed good predictive accuracy for SVR modelling, which can be generalized, and suggested that the MMG signals from paralyzed knee extensors are a suitable proxy for the NMES-assisted torque produced during repeated bouts of isometric knee extension tasks. This finding has potential implications for using MMG signals as torque sensors in NMES closed-loop systems and provides valuable information for implementing this method in research and clinical settings.