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motor-learning
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A Learning Method Inspired by the Human Motor Learning
, M.Sc. Thesis Sharif University of Technology ; Vosughi Vahdat, Bijan (Supervisor)
Abstract
Recently, the computational algorithms underlying in the nervous system of vertebrates have been attracting scientists and engineers. Therefore, a number of artificial learning methods are proposed for mathematical interpretation of these algorithms. In this thesis, by investigating the latest findings about the nervous system, and the motor system in particular, a novel machine learning scheme inspired by human motor learning is proposed. Basic theoretical aspects of this method in conjunction with some of state-of-theart artificial learning methods are discussed. Finally, this method is evaluated in a variety of engineering problems ranging from curve fitting and function approximation to...
Studying the Effect of Motor Learning on Muscle Synergies During Balance
, M.Sc. Thesis Sharif University of Technology ; Farahmand, Farzam (Supervisor) ; Baniasad, Mina (Co-Supervisor)
Abstract
Our body makes use of many degrees of freedom in muscle space. As a result, there are many solutions for activating muscles when performing a specific task. “how our central nervous system (CNS) controls abundant degrees of freedom?” has been a popular question for researchers in the field of motor control since Bernstein. The existence of muscle synergies is one of the proposed hypothesis, and there is experimental evidence that they are encoded in our CNS as building blocks. The aim of this study is to study the effect of training on the number, structures, and activation profiles of muscle synergies that are used for maintaining balance. For this purpose, electromyography data from 28...
Studying the Effect of Motor Learning on Joint Motion Coordination during Balance Control
, M.Sc. Thesis Sharif University of Technology ; Farahmand, Farzam (Supervisor) ; Baniasad, Mina (Co-Supervisor)
Abstract
The problem of degrees of freedom states that there are several ways to take advantage of the multiple joints of the body to perform a motor skill. This issue was first raised by Nikolai Bernstein. In previous studies on the Bernstein hypothesis, movement coordination has often been evaluated by calculating variance changes in joint movements and using statistical indicators, and synergy analysis has not been used.In this study, the effect of exercise on balance skills in healthy individuals was investigated using synergy analysis. For this purpose, movement data of 8 healthy individuals were recorded in two sessions before and after exercise while maintaining their balance on the balance...
A modified DTC for induction motor drive system fed by Indirect Matrix Converter using Active Learning Method
, Article 2011 2nd Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2011, 16 February 2011 through 17 February 2011 ; February , 2011 , Pages 356-361 ; 9781612844213 (ISBN) ; Aghasi, M ; Khaburi, D. A ; Ghorbani, M. J ; Sharif University of Technology
2011
Abstract
This paper presents a high performance Direct Torque Control (DTC) theme for the induction motor using Indirect Matrix Converter (IMC). To improve the dynamic behavior of motor, Active Learning Method (ALM) is implemented on the DTC. The ALM uses its own modeling technique called the ink drop spread (IDS) method. Functionally the IMC is very similar to the Direct Matrix Converter (DMC) but it has separate line and load bridges. In the inverter stage, the classical DTC method is employed. In the rectifier stage, in order to reduce losses caused by snubber circuit the rectifier four-step commutation method is employed. By suitably selecting switching pattern and using Active Learning Method...
Postural control learning dynamics in Parkinson's disease: Early improvement with plateau in stability, and continuous progression in flexibility and mobility
, Article BioMedical Engineering Online ; Volume 19, Issue 1 , 2020 ; Behzadipour, S ; Schouten, A. C ; Taghizadeh, G ; Firoozbakhsh, K ; Sharif University of Technology
BioMed Central Ltd
2020
Abstract
Background: Balance training improves postural control in Parkinson's disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program, are poorly understood. Objectives: We investigated the learning dynamics of the postural control in PD, during a balance-training program, in terms of the clinical, posturographic, and novel model-based measures. Methods: Twenty patients with PD participated in a balance-training program, 3 days a week, for 6 weeks. Clinical tests assessed functional balance and mobility pre-training, mid-training, and post-training....