The carpal tunnel syndrome is a common condition, localized at the hand and knuckle level, caused by a compression of the median nerve as it travels the rigid structures of the carpal tunnel. This phenomenon is, essentially, a compressive neuropathy.Aim: The purpose of our research is to comparatively analyze the treatment methods of the carpal tunnel syndrome: treatment by acupuncture, fascial manipulation, low-level laser therapy, cupping treatment, kinesiotaping, surgical treatment, orthosis method, nerve and tendon gliding exercises, and ultrasound therapy, based on the review of specialized articles relevant for the last 10 years.Methods: The research method consisted of 3 steps. First, we analyzed and selected 160 specialized articles, based on titles and key words; in the second step, we analyzed the summaries of the articles, thus, reducing the number to 50 articles. The third step consisted of selecting 7 relevant articles based on an article content review.Results: The results of treatment comparisons have proved that non-invasive therapies are superior to surgical treatments, taking into consideration symptom improvement, the maximum period up to noticeable results, relapse situations, patients’ preferences, etc.Conclusions: The results of manual, traditional and non-invasive therapies are similar to those of surgical treatments, and even better in a very large number of cases.
Introduction: Short distance running is part of the maximum intensity cycling exercises, consisting of combined efforts, each step being performed as a result of a complete impulse, characterized by covering a distance in a shorter time. Objective: This study aims to follow the development of power for the start in short distance speed trials. Material and method: A 26-year-old male athlete, who has been practicing athletics for 14 years, participated in the study, based on the 100-meter flat sprint. The pre-test was performed before the preparation period, the intermediate test after one mesocycle (one month) and the final test after the second mesocycle (after 2 months). The evaluations followed the strength with which 4 exercises were performed (deadlift, clean, power clean and squat) of 6 repetitions each. At the same time, the length of the distance covered in the first three steps from the start was followed. During the two mesocycles, the athlete participated in specific strength development training. Results: After the two-month training period, statistically significant (p<0,05) improvements were observed in 3 of the 4 exercises, with clean improving from 575 W to 626 W, with deadlift from 560 W to 670 W, and at squat from 422 W it reached 676 W. Regarding the result obtained at power clean, an improvement was observed from 556 W to 557 W, statistically insignificant (p = 0.48). At the triple step, there were improvements both when starting with both feet at the same level and when starting with one foot before. Conclusions: Following the results obtained in the three evaluations, we notice that the training program was developed efficiently and that the results improved in all the evaluation tests.
Aim and purpose : It has been widely accepted in the athletic community that altitude training can increase performance at sea level, therefore this study aims to analyze the influence of altitude training on the manifestation of muscle strength in the lower limbs and aerobic endurance in students participating at in-depth training course in a branch of sports- skiing, on the “living high-training high” model. Material : This study included 9 students from the Physical Education and Sports Faculty of Timisoara, who took the in-depth training course in a branch of sports- skiing, taking part in the program and activities specific to this course, as well as in the training carried out at altitude. Method : The batch was evaluated in two moments (T0 and T1), using the following assessment tests: Yo -Yo, Roman seat in isometry, high jump evaluated via the OPTOJUMP device, long jump test. The data was processed in Excel (v2205) and the statistical processing was performed using the Student T-test. It was considered that the results are statistically significant for values of p <0.05. Results : The progress recorded was quantified by normalizing the absolute values and was expresse d as a percentage as follows: Yo-Yo= -1% ± 0.08 STD; RS= + 168% ± 1.26STD; HJ-Squat Jump= -4% ± 0.16STD; HJ- countermovement jump= -2% ± 0.14STD; HJ- countermovement jump-free arms = + 2% ± 0.14STD; LJ= + 6% ± 0.04STD; LJ SLJ R= + 9% ± 0.08STD; LJ SLJ L= + 10% ± 0.08STD. Conclusions : From the evaluations performed at sea level, at T0 and T1, a noticeable improvement in the muscular strength of the lower limbs has resulted via the following tests: the Roman seat in isometry, long jump with bilateral support, long jump with unilateral support on either the left or right side; registering a significant statistical (p). However, there was no significant improvement noticed on the rest of the tests.
Introduction Posture detection is used in various situations such as medical care, surveillance, virtual environment, indoor monitoring, virtual reality for animations and entertainment. The concept of machine learning has experienced great progress in the last two decades, from a curiosity started in the laboratory to a widespread practical technology for commercial use. Objective The aim of this paper is to review the literature on the use of machine learning algorithms in the medical field for posture recognition. Material and method Articles were collected from the following databases: Google Scholar, Science Direct, PubMed and Research Gate. We included only articles that were written in English, those that were available for download in full text, published after 2010, the year in which the industrialization of the idea of artificial learning began. Articles that did not assess or recognize the posture deficiencies were excluded. Results A total of 55 articles were eligible for the study. Following the inclusion criteria, and after sorting, using the exclusion criteria, a number of 16 articles remained to be analyzed, presented and discussed. Conclusions After the analysis of the articles included in this study, it can be concluded that using machine learning we can obtain very good results with high accuracy for posture recognition.
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