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.
Saeed Vahedi, Mareft Siah Koohian, Milad Rahati, Negar Rostami, Elaheh Fallahzadeh, Roghayeh Afrondeh,
Volume 20, Issue 23 (9-2022)
Abstract
Covid 19 disease is associated with a wide range of clinical symptoms and long-term complications. For most sports medicine professionals, it's a new challenge for people to resume their previous activities after recovering from Covid 19 after receiving the exercise prescription and care. The aim of this study was to review the appropriate physical activity for those recovering from Covid 19 infection based on the type of involvement they developed during the illness. For this study, a review study method was selected. This is done in three steps. In the first stage, physical activity in Quid, in the second stage, organ involvement in Quid, and in the third stage, sports prescriptions in organ involvement by searching for appropriate keywords in reputable scientific databases such as Pubmed, ACSM, SID. ir and Science Direct were searched, content related to the purpose of the articles were extracted and collected and analyzed for content. Examination of organs after recovery from Covid 19 infection is essential to return to physical activity. Physical activity prescriptions in those recovering from Corona varies from disease to patient, and organ to organ. Exercising in Covid conditions requires consideration. The cardiovascular, respiratory, blood, gastrointestinal, and musculoskeletal systems are affected by Covid 19 infection. Exercise, on the other hand, has different effects on the immune system depending on its severity, and the immune system undergoes changes in Covid 19 disease. The type, intensity, and duration of exercise or physical activity vary according to the patient and the symptoms or side effects left by Quid, and the readiness of the various organs for physical activity should be assessed.
