Add to ORKGThis study discussed about the measurement of muscle fatigue analysis using surface electromyography (sEMG). The analysis for feature extraction involved in this paper is time domain, frequency domain and time-frequency domain. The result based on amplitude of signal and frequency in either frequency domain or time-frequency domain shifting will be covered
The overall aim of the research reported in this thesis was to build a new multi-channel electrode a...
Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Sinc...
In this work a novel approach to realtime muscular fatigue detection is presented. Surface Electro...
The aim of this paper is to estimate muscle fatigue by using wavelet analysis method in SEMG signal ...
Features extraction is important for achievement in Electromyography (EMG) signals analysis. Hence, ...
Features extraction is important for electromyography (EMG) signal analysis. The paper’s objective i...
The aim of this study was to examine the influence of various external factors on the time-frequency...
Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Sinc...
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten subjects perform...
The developments in physiological studies have established the importance of muscle fatigue estimati...
AbstractElectromyography (EMG) measures muscle response or electrical activity in response to a nerv...
Features extraction is important for electromyography (EMG) signal analysis. The paper’s objective ...
The surface electromyogram (SEMG) is a complex, nonstationary signal. The spectrum of the SEMG is de...
Muscle fatigue is defined as a reduction in muscle’s ability to contract and produce force due to pr...
The relationship between force of muscle contraction and muscle fatigue with six different features ...
The overall aim of the research reported in this thesis was to build a new multi-channel electrode a...
Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Sinc...
In this work a novel approach to realtime muscular fatigue detection is presented. Surface Electro...
The aim of this paper is to estimate muscle fatigue by using wavelet analysis method in SEMG signal ...
Features extraction is important for achievement in Electromyography (EMG) signals analysis. Hence, ...
Features extraction is important for electromyography (EMG) signal analysis. The paper’s objective i...
The aim of this study was to examine the influence of various external factors on the time-frequency...
Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Sinc...
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from ten subjects perform...
The developments in physiological studies have established the importance of muscle fatigue estimati...
AbstractElectromyography (EMG) measures muscle response or electrical activity in response to a nerv...
Features extraction is important for electromyography (EMG) signal analysis. The paper’s objective ...
The surface electromyogram (SEMG) is a complex, nonstationary signal. The spectrum of the SEMG is de...
Muscle fatigue is defined as a reduction in muscle’s ability to contract and produce force due to pr...
The relationship between force of muscle contraction and muscle fatigue with six different features ...
The overall aim of the research reported in this thesis was to build a new multi-channel electrode a...
Electromyography (EMG) is widely used in various fields to investigate the muscular activities. Sinc...
In this work a novel approach to realtime muscular fatigue detection is presented. Surface Electro...