EMG Controlled Hand Prosthesis: EMG Classification System
نویسنده
چکیده
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 step in the development of prosthetic devices. It would become possible for more advanced control of these devices with a more natural interface. This project focuses on the development of an electromyographic classification system on an embedded platform for the specific use of controlling a prosthetic device.
منابع مشابه
Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control
Although partial-hand amputees largely retain the ability to use their wrist, it is difficult to preserve wrist motion while using a myoelectric partial-hand prosthesis without severely impacting control performance. Electromyogram (EMG) pattern recognition is a well-studied control method; however, EMG from wrist motion can obscure myoelectric finger control signals. Thus, to accommodate wrist...
متن کاملEMG Control for a Robot Hand Used as a Prosthesis
Multifingered computer controlled robot hands have been built by researchers to recreate human functionality. Our research is focused on the use of the Belgrade/USC robot hand as a prototype prosthesis for below-elbow amputees. A method has been developed that combines EMG and computer signals to control the phases of prehension. Simulation work presented here, based on pilot data, uses surface...
متن کاملBrain activation during manipulation of the myoelectric prosthetic hand: a functional magnetic resonance imaging study.
Neuroimaging data, particularly functional magnetic resonance imaging (fMRI) findings, have not been reported in users of the myoelectric or electromyographic (EMG) prosthetic hand. We developed a virtual EMG prosthetic hand system to eliminate mutual signal noise interference between fMRI imaging and the EMG prosthesis. We used fMRI to localize activation in the human brain during manipulation...
متن کاملMyoelectric elbow and hand prosthesis controlled by signals
A nine year old girl with a congenital aboveelbow amputa t ion was supplied with a myoelectrically controlled arm prosthesis at the Regional Hospi ta l , O r e b r o , Sweden, in May 1978. The prosthesis was equipped with an artificial hand as well as an elbow joint. The lat ter was designed at New York University, for switch control but adapted to myoelectric control in the Depar tment of Clin...
متن کاملReal-time intelligent pattern recognition algorithm for surface EMG signals
BACKGROUND Electromyography (EMG) is the study of muscle function through the inquiry of electrical signals that the muscles emanate. EMG signals collected from the surface of the skin (Surface Electromyogram: sEMG) can be used in different applications such as recognizing musculoskeletal neural based patterns intercepted for hand prosthesis movements. Current systems designed for controlling t...
متن کامل