Showing 2 results for Brain Stimulation
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.
Student Mina Khantan, Professor Behrouz Abdoli, Professor Alireza Farsi,
Volume 0, Issue 0 (11-2019)
Abstract
Transcranial direct current stimulation (tDCS) is one of the newest supplementary method in order to improve the athletic performance and mental preparation of professional athletes. In this study, we investigated the effects of 10-session unihemispheric concurrent dual-site anodal-tDCS (a-tDCS) of the primary motor cortex (M1) and dorsolateral prefrontal cortex (DLPFC), on swimming performance, mental toughness (MT) and perceived exertion. 20 male professional swimmers (Age: 19.00±2.86 yrs) were participated in this randomized, double-blind, and sham-controlled study. 100m free-style swimming test, the sport mental toughness questionnaire (SMTQ) and rating of perceived exertion (RPE) were evaluated as pre-tests. Then, athletes received 10-session tDCS (2mA for 20 min). 48 hrs following 10th session of tDCS, evaluations were repeated. ANCOVA was used for statistical analysis. After multi sessions of tDCS, swimming performance improved significantly (P=0.03) and total MT score increased significantly (P=0.046) and no significant change was observed in RPE. Based on the results of this study, multi-session tDCS along with routine training are recommended to improve swimmers performance and psychological aspects. Therefore, tDCS might be consider as a brain conditioning method.
