Add to ORKGIn this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed
The problem of classifying electromyography signals in each gesture occurs due to the use of a const...
Electromyogram (EMG) signal is generated by muscle contraction, and surface electromyography signal ...
Abstract Background Surface electromyography (sEMG) signals have been used in numerous studies for t...
In this paper, a method is proposed to differentiate patterns in one-channel surface electromyograph...
Myoelectric control of prostheses is a long-established technique, using surface electromyography (s...
The overall aim of the research reported in this thesis was to build a new multi-channel electrode a...
Surface electromyography is a technique of analyzing muscle functions through signals emanating from...
The electrical activity generated in contracting muscles is measured using electromyographic (EMG) s...
The use of a small number of Electromyography (EMG) channels for classifying the finger movement is ...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
This paper presents a new electromyography activity detection technique in which 1-D local binary pa...
Finger motion classification using surface electromyogram (EMG) signals is currently being applied t...
Some electromyogram (EMG) signals include information from limb functions and have been used to cont...
A range of signal processing techniques have been adopted and developed as a methodology which can b...
© Springer International Publishing AG 2017.Surface electromyogram (sEMG) is a bioelectric signal th...
The problem of classifying electromyography signals in each gesture occurs due to the use of a const...
Electromyogram (EMG) signal is generated by muscle contraction, and surface electromyography signal ...
Abstract Background Surface electromyography (sEMG) signals have been used in numerous studies for t...
In this paper, a method is proposed to differentiate patterns in one-channel surface electromyograph...
Myoelectric control of prostheses is a long-established technique, using surface electromyography (s...
The overall aim of the research reported in this thesis was to build a new multi-channel electrode a...
Surface electromyography is a technique of analyzing muscle functions through signals emanating from...
The electrical activity generated in contracting muscles is measured using electromyographic (EMG) s...
The use of a small number of Electromyography (EMG) channels for classifying the finger movement is ...
Electromyography (EMG) is the study of electrical signals produced by the movement of muscles in the...
This paper presents a new electromyography activity detection technique in which 1-D local binary pa...
Finger motion classification using surface electromyogram (EMG) signals is currently being applied t...
Some electromyogram (EMG) signals include information from limb functions and have been used to cont...
A range of signal processing techniques have been adopted and developed as a methodology which can b...
© Springer International Publishing AG 2017.Surface electromyogram (sEMG) is a bioelectric signal th...
The problem of classifying electromyography signals in each gesture occurs due to the use of a const...
Electromyogram (EMG) signal is generated by muscle contraction, and surface electromyography signal ...
Abstract Background Surface electromyography (sEMG) signals have been used in numerous studies for t...