The Effect of Saddle-Assistive Device on Improving the Gait Parameters of Patients with the Lower Limbs Weakness: A Pilot Study

Najafabadi, Akbar Hojjati; Amini, Saeid; Farahmand, Farzam

doi:10.1007/s42235-020-0088-2

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…It can be seen from the data that the frequency weighted training algorithm can effectively improve the recognition rate of the model, and the samples are trained through the training algorithm [13]. e training sample data is 100 shots of each of the ten serve actions.…”

Section: Badminton Athlete's Step Training Management Modelmentioning

confidence: 99%

Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks

Zhi

Zhu³

et al. 2022

Security and Communication Networks

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In view of the poor effect of badminton players’ physical fitness and response training, this paper puts forward the construction method of badminton players’ pace training model based on big data, constructs badminton players’ pace training index by combining big data technology, optimizes the pace training evaluation algorithm, and puts forward the corresponding Badminton Players’ pace training method to achieve the model design goal. Finally, experiments show that the badminton athlete’s pace training model based on big data has high practicability in the process of practical application and fully meets the research requirements.

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Section: Badminton Athlete's Step Training Management Modelmentioning

confidence: 99%

Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks

Zhi

Zhu³

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…The multiple comparison method of one-way ANOVA in SPSS for Windows version 18.0 statistical software was used for comparative analysis, and Excel software was used for data processing and chart drawing. 8…”

Section: Data Processingmentioning

confidence: 99%

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

Liu

2023

Rev Bras Med Esporte

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Introduction: Chinese martial art has a wide and deep history, and its routine passes are a particular artistic presentation. In exhibitions, choreography with jumping is highly appreciated. Empirically, it is believed that additional strengthening of the lower limbs may promote better results in the performances, but there are no reports in the scientific literature about such a statement. Objective: Verify the consequences of lower limb strength training on jumping ability in martial arts athletes. Methods: 30 first and second tier athletes from the professional women’s team of the Wushu Sports Management Center and Sports Bureau were selected as volunteers for the experimental research. The experiment lasted for three months. The characteristics of the development and change of strength of each muscle group in the knee joint of the athletes’ lower limb during the experimental training were detailed, and the commonly used means of lower limb strength training were found. Results: In strength training, the best means found were skipping steps and rapidly changing direction. The correlation coefficient between jumping and strength was 0.75. Conclusion: After the experiment, the maximum torque and the average power of the lower limb knee muscle groups of the three experimental groups increased in different ranges, which shows that the strength quality of the knee joint of the athletes increased during the suggested training. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

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The Effect of Saddle-Assistive Device on Improving the Gait Parameters of Patients with the Lower Limbs Weakness: A Pilot Study

Cited by 2 publications

References 25 publications

Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks

Research on Badminton Player’s Step Training Model Based on Big Data and IoT Networks

Consequences of Lower Limb Strength Training on Jump Performance in Athletes of Martial Arts

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