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Muscle fatigue causes numerous injuries among workers in industries involving mechanical labour each year. This study explores a new feature based on energy of detail wavelet coefficient for muscle fatigue detection in the upper limb. The muscle fatigue data was generated after isometric muscle action. 7 subjects underwent 3 trails each using 3 channels corresponding to Biceps Brachii, Extensor Digitorum...
This paper presents the use of a Wavelet Neural Network (WNN) as an efficient classifier of Electromyographic (EMG) signals. Generally, an EMG signal requires advanced methods for detection, decomposition, processing and classification. In this paper a WNN model will relate the firing frequency of motor unit action potentials (MUAPs) and three different muscle force levels, in order to improve the...
The aim of this paper is to estimate muscle fatigue by using wavelet analysis method in SEMG signal analysis. A signal acquisition system is designed and forearm muscle fatigue experiments under static and dynamic contractions are performed. The wavelet analysis method is proposed to group the wavelet coefficients of SEMG signal into high frequency-band (100Hz-350Hz) and low frequency-band (13-22Hz)...
Motor unit recruitment pattern represents the time-frequency characteristics of muscle contraction. The Continuous Wavelet Transform (CWT) is a time-frequency signal analysis but its ability to identify motor unit recruitment pattern is still unclear. The purpose of this study was to validate the CWT in identifying the differences in motor unit recruitment pattern, regarding time-space domains, between...
A prototype for a walking assistance apparatus for the elderly or motor palsy patients was developed, using a novel spatial parallel link mechanism. The flat steps of the apparatus move in parallel with the ground; the apparatus can support entire leg alignment (including soles) and assist; walking behavior at ankle, knee and hip joints simultaneously. By using a flexible link, constructed of stainless...
In this research, the artificial intelligent method based human motion pattern recognition for surface electromyographic (EMG) signal is proposed. As the EMG signal is a measurement of anatomical and physiological characteristic of the given muscle, the macroscopical movement patterns of the human body can be classified and recognized. By using the technology of wavelet packet transformation, the...
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