Showing 4 results for Hoseini
Mr Saeed Mollahoseini Paghale, Mr Milad Fallahzade, Dr Mohammadreza Amirseyfadini,
Volume 0, Issue 0 (11-2019)
Abstract
Introduction and objectives: In the past decades, the control of hand tremors in neurological disorders such as Parkinson's has attracted a lot of attention. The theories of closed-loop deep brain stimulation method are increasing significantly. The purpose of this article is to provide an automatic closed-loop method for the rehabilitation of Parkinson's patients with hand tremor symptoms using machine learning.
Materials and methods: In this article, a mathematical model including muscle model, basal ganglia, cerebral cortex and supplementary motor area is used to simulate tremor. Also, to control hand tremors, a non-integer proportional-derivative-integral controller (non-integer PID) has been used, as well as using the smart Proximal Policy Optimization (PPO) algorithm as a subset of reinforcement learning to adjust the coefficients.
Findings: In addition to reducing hand tremors and automatic learning for use in different levels of the disease, which has given acceptable results compared to other control methods, among the advantages of the Prihadi method is the practical implementation of this method in the real world due to the simplicity of the controller. And also the easy implementation of the intelligent algorithm is due to the automatic adjustment of the coefficients of artificial intelligence networks.
Conclusion: In addition to optimizing output symptoms such as hand tremors compared to other controllers, the proposed intelligent system can also be used for all levels of the disease due to its adaptability, causing a significant reduction in the side effects caused by continuous brain stimulation in the brain stimulation method. It opens in the form of a ring.
Morteza Hoseini, Dr Heydar Sadeghi, Dr Razieh Yousefian Molla,
Volume 0, Issue 0 (11-2019)
Abstract
Background and purpose: Determining specific abilities and skills in volleyball players depends on the amount of anthropometric, physiological, biomechanics and psychological characteristics of the players in this field and is vital for improving the performance of sports skills in them. Since by comparing these important factors in the group of teenagers and young adults, it is possible to guide teenagers towards success factors in youth and adulthood, the purpose of this research was to compare the main characteristics of elite teenage and young male volleyball players.
Methods: 30 male members of the national youth volleyball team of the Islamic Republic of Iran (15 youths and 15 teenagers) were examined in terms of their main anthropometric, biomechanics, physiological and psychological characteristics with the aim of evaluating and determining the main components and comparing them. In order to determine he main components of the evaluated indicators, first the PCA statistical method and then the independent t statistical method were used to compare the two groups(0.05≥p).
Results: Among the main indices of anthropometric, biomechanical, physiological and psychological characteristics, only the physiological index of maximum heart rate showed a significant difference between the two groups (0.05≥p).
Conclusion: It seems that the main differences of volleyball players in these two age groups are more related to experience in the game and mastery in the implementation of various skills and techniques, and all these main features can be found in the talent search process of this group of young people.
Mrs Fatemeh Malek Hoseini, Dr Mehdi Rafei Boroojeni, Dr Shahram Lenjan Nezhadian,
Volume 13, Issue 10 (10-2015)
Abstract
The aim of the study was to compare the electrical activity pattern of major muscles involved in handball
triple shooting in two groups of adolescents and adults. Ten adolescent elite handball players playing in
national club league (16.4 ± 0.69) and 10 adult handball players (23.55± 2.69) participated in this research.
They performed triple shooting و assuming in a match situation and electrical activity of the Biceps brachii,
Triceps brachii, pectorialis major muscles and three anterior, middle and posterior parts of deltoid was
recorded using surface electromyography. Parameters related to the muscular activity pattern, including
time, peak, action amplitude and contraction sequences were obtained. The results of t-student statistical
test for two independent groups (p≤ 0.05) shown that there were no significant difference between time,
peak and electrical activity amplitude variables between groups. It seems the factors such as experience in
adolescent athletes, better utilization of muscle and being close to the end of puberty makes no difference
between adolescents and adults.
Mostafa Zarei, Nazanin Dalvandpour, Alireza Hoseini,
Volume 20, Issue 23 (9-2022)
Abstract
Functional Movement Screen Test is one of the tests used to identify asymmetries and limitations in basic and fundamental movements. For time management and fast execution of this test, some researchers have suggested reducing the number of tests. The purpose of the present study was to investigate the internal consistency and correlation between components of this test. The present study was a correlational study. In this study, movement screen test was performed on 165 male and female students aged 18 to 25 years of Shahid Beheshti University using a special FMS kit. Results: The internal consistency of the test, measured by Cronbach's alpha method, was acceptable (α=0.71). The results of multivariate regression test showed that there was a low to medium correlation between the internal components of the test, but a high correlation was observed between the test components and the final FMS score. The results also showed a high correlation between the "four small movements" (Active leg raising, shoulder mobility, stability push up and rotary stability) and the total FMS score and a low correlation between the "three big movements" and the FMS score. Motor function screen test is a valid tool for evaluating motor performance. The results also show that in large communities such as students, and if there is a time limit, "four small movements" can be used instead of seven.
