In this paper, we present a novel approach for decoding electromyographic signals from an amputee and for interfacing them with a prosthetic wrist. The model for the interface makes use of electromyographic signals from electrodes placed in agonistic and antagonistic sides of the forearm. The model decodes these signals in order to control both the position and the stiffness of the wrist
A real-time pattern recognition algorithm based on k-nearest neighbors and lazy learning was used to...
Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographi...
Electromyography (EMG) is a well known technique used for recording electrical activity produced ...
In this paper, we present a novel approach for decoding electromyographic signals from an amputee an...
We propose, implement, and evaluate a natural human-machine control interface for a variable stiffne...
Limb loss is a growing problem due to the increasing number of accidents worldwide. A cybernetic pro...
This paper proposes a novel method of using electromyographic (EMG) potentials generated by the fore...
The EMG signals which include information on not only mascle force but operator's intended motion an...
This paper describes an electrically powered prosthetic system controlled by electromyography (EMG) ...
Objectives: Robotic prosthetic limbs promise to replace mechanical function of lost biological extre...
<p> </p> <p>Use of surface electromyography (sEMG) has shown promise as a method of controlling pro...
Understanding the neurophysiological signals underlying voluntary motor control and decoding them fo...
Limb loss is a growing problem in Malaysia and the rest of the world due to the increasing number o...
This paper presents a prosthetic hand control system for trans-radial amputees based on electromyogr...
A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limit...
A real-time pattern recognition algorithm based on k-nearest neighbors and lazy learning was used to...
Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographi...
Electromyography (EMG) is a well known technique used for recording electrical activity produced ...
In this paper, we present a novel approach for decoding electromyographic signals from an amputee an...
We propose, implement, and evaluate a natural human-machine control interface for a variable stiffne...
Limb loss is a growing problem due to the increasing number of accidents worldwide. A cybernetic pro...
This paper proposes a novel method of using electromyographic (EMG) potentials generated by the fore...
The EMG signals which include information on not only mascle force but operator's intended motion an...
This paper describes an electrically powered prosthetic system controlled by electromyography (EMG) ...
Objectives: Robotic prosthetic limbs promise to replace mechanical function of lost biological extre...
<p> </p> <p>Use of surface electromyography (sEMG) has shown promise as a method of controlling pro...
Understanding the neurophysiological signals underlying voluntary motor control and decoding them fo...
Limb loss is a growing problem in Malaysia and the rest of the world due to the increasing number o...
This paper presents a prosthetic hand control system for trans-radial amputees based on electromyogr...
A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limit...
A real-time pattern recognition algorithm based on k-nearest neighbors and lazy learning was used to...
Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographi...
Electromyography (EMG) is a well known technique used for recording electrical activity produced ...