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The information present in the electromyogram (EMG) signals can be used for the diagnosis of the neuro-muscular abnormalities such as: amyotrophic lateral sclerosis (ALS) and myopathy. In this paper, a technique for detection of ALS and myopathy is presented, which is based on tunable-Q wavelet transform (TQWT). For the purpose of detection of these abnormalities, motor unit action potentials (MUAPs)...
Human hand is one of the most intricate organs of the human body next to brain. Replicating human hand motions are necessary to perform routine activities. Surface Electromyography (sEMG) signals are used clinically as diagnostic tool for neurological disorders. These signals have been widely employed in applications such as prosthesis, control signal in rehabilitation and a means of diagnosis in...
Electromyography is gaining prominence in wearable electronic devices with improved design of surface electrodes and increased demand in various fields such as health monitoring, prosthetic control and assistive technology. Surface electromyogram signals have been analyzed using conventional time-domain, frequency-domain, and time-frequency domain features as well as high-order spectral analysis since...
The interaction with robotic devices by means of physiological human signals has become of great interest in the last years because of the capability of catching human intention of movement and translate it in a coherent action performed by a robotic platform. Due to the complexity of EMG signals, several studies have been carried out about models built on a single subject (subject-specific). However,...
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...
In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to determine the activity corridor that related with the...
This paper evaluates the use of Gaussian Mixture Model (GMM) trained through Electromyography (EMG) signals to online estimate the bending angle of a single human joint. The parameters involved in the evaluation are the number of Gaussian components, the channel used for model, the feature extraction method, and the size of the training set. The feature extraction is performed through Wavelet Transform...
Any movement is generated by synergistic actions of muscle groups. The analytical description of how muscles are combined into synergies to produce their coordination actions remains to be established. Here, we have introduced the wavelet-based analysis to identify common information among major leg muscles during a locomotor tasks with and without asymmetric adaptation.
Electromyography (EMG) is an experimental technique developed for the purpose of studying muscle movement. Information from raw EMG signals is extracted by application of “Wavelet Transform”. This technique holds good in handling non stationary signals which ordinary Fourier Transform and even Short Time Fourier Transform fail to handle. In this work, by applying wavelet transform, signal was first...
A method for ECG denoising based on wavelet shrinkage approach has been investigated. We have proposed a shrinkage threshold which is high for the non-informative wavelet coefficients and low for the informative coefficients. We have set up limitations for the difference between the thresholds of every two adjacent coefficients throughout the scales in order to avoid Gibbs effects.
Prosthesis hand is an artificial device which replaces missing hand because of human's hand may lost by trauma, disease or defect. From last decade, some researchers have been studying to invent and develop artificial hand. One of the most important step of bionic upper limb is developing surface electromyography (sEMG) signal analyzing methods. This pilot study is aimed to examine de-noising efficiency...
Muscle fatigue is defined as the long lasting deterioration of a performance of the human operator to create force. Walking fast can cause muscle fatigue, which is unhealthy and it is incurable when the level of fatigue is high. Muscle fatigue is a well-known research area. In order to completely comprehend the idea many research have been done on different type of muscle fatigue. There are many spectral...
Lower leg muscles are known to be activated during standing. On the other hand, standing is known to induce orthostatic stress. Our recent work presented that the posture control and cardiovascular systems are related to each other. However, the relationship of the individual muscle activation with blood pressure changes is not fully understood. The present preliminary study conducted experiments...
It is known that standing induces orthostatic stress on the cardiovascular system. Our previous works have presented that the postural control during standing and cardiovascular changes are related to each other in the health young individuals. However, it remains to be checked if such a relationship is present in the elderly individuals as well. The present study conducted experiments similar to...
In this paper, a technique to classify seven different forearm movements using surface electromyography (sEMG) data which were received from 8 able bodied subjects was proposed. A 2-channel sEMG system was used for data acquisition and recording, then this raw electromyography (EMG) signals were applied to the wavelet denoising. In the next step, time-frequency feature is extracted calculating wavelet...
In this study, we have investigated usefulness of extraction of the surface electromiyogram (sEMG) features from multi-level wavelet decomposition of the yEMG signal. The first step of this method is to analyze sEMG signal detected from the subject's right upper forearm and extract features using the mean absolute value (MAV), MAV of wavelet approximation and details coefficients, MAV of wavelet approximation...
To solve the limitations in using the conventional parametric measures to define myofascial pain, a 3-D multi-scale wavelet energy variation graph is proposed as a way to inspect the pattern of surface electromyography (SEMG) variation between the dominant and nondominant sides at different frequency scales during a muscle contraction cycle and the associated changes with the upper-back myofascial...
Cross-correlation is often used as the primary technique to compare two biological signals. Cross-correlation is an effective means to measure the synchronization of two signals assuming the relative phases of all frequencies are distributed linearly, that is, a group delay. The group delay assumption imposes an unfavorable restriction on signals with varying relative phase correlation at different...
In biomedical signal processing, many sources are often mixed as a form of measured signal. The goal is usually to extract and analyze one or several of them separately. In the multichannel measurements, several Blind Source Separation (BSS) techniques are available for decomposing the signal into its components. In this paper, a novel method is presented for the reconstruction of individual muscle...
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