منابع مشابه
EMG Controlled Hand Prosthesis: EMG Classification System
Since the 1970s, electromyographic control of a prosthetic device has been attempted in a number of different ways. It was only until recently, that the classification of electromyographic signals was possible through the use of neural networks. With the advent of more advanced techniques like support vector machines this type of control is becoming more realistic. This would initiate a great s...
متن کاملHand Transplantation Versus Hand Prosthetics: Pros and Cons
Composite tissue transplantation and new developments in the field of prosthetics have opened new frontiers in the restoration of function among upper limb amputees. It is now possible to restore hand function in affected patients; however, the indications, advantages, and limitations for either hand transplantation or prosthetic fitting must be carefully considered depending on the level and e...
متن کاملClassification of Human Hand Movements Using Surface EMG for Myoelectric Control
Surface electromyogram (sEMG) is a bioelectric signal that can be captured non-invasively by placing electrodes on the human skin. The sEMG is capable of representing the action intent of nearby muscles. The research of myoelectric control using sEMG has been primarily driven by the potential to create human-machine interfaces which respond to users intentions intuitively. However, it is one of...
متن کاملVarious Control Strategies for the Artificial Hand Using Surface Emg Sensors: First Experiments and Results
In this article short overview of existing methods of electromyography sensors placement and control strategies of the artificial prosthetic hand was made. Also the explanation of necessity for different strategies was given. The new methods and algorithms to process electromyographic signal were proposed. The experimental results for one of the described methods were shortly estimated and anal...
متن کاملTime series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm
In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based on hand manipulations via available time series of the measured data. The model for the sEMG is developed as a hidden Markov model (HMM) framework. In order to represent dynamical characteristics of sEMG when multichannel observation seq...
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ژورنال
عنوان ژورنال: Biological Cybernetics
سال: 2008
ISSN: 0340-1200,1432-0770
DOI: 10.1007/s00422-008-0278-1