The aim of the investigation was to off-line compare parameters of uterine EMG signals recorded during pregnancy in humans and sheep. Uterine corpus EMG recording sessions were performed in humans and in sheep. Sixty-five women underwent uterine corpus EMG recording sessions using abdominal surface skin electrodes. Six sheep underwent multiple EMG recording sessions using implanted electrodes. ...

Surface EMG (electromyography) signal is a complex nonlinear signal with low signal to noise ratio (SNR). This paper is aimed at identifying different patterns of surface EMG signals according to fractal dimension. Two patterns of surface EMG signals are respectively acquired from the right forearm flexor of 30 healthy volunteers during right forearm supination (FS) or forearm pronation (FP). A...

Background: Electromyography (EMG) signal processing and Muscle Onset Latency (MOL) are widely used in rehabilitation sciences and nerve conduction studies. The majority of existing software packages provided for estimating MOL via analyzing EMG signal are computerized, desktop based and not portable; therefore, experiments and signal analyzes using them should be completed locally. Moreover, a...

Electromyography (EMG) is the analytical study of electrical activity produced by skeletal muscles. EMG is an example of modern human computer interaction which can be used in the field of medicines and engineering. Through this paper we are going to discuss about different types of EMG-Surface EMG(SEMG)/surface scanning EMG and intramuscular/ indwelling (needle and fine-wire) EMG, the electric...

This paper introduces a novel and simple algorithm to extract the feature from Surface EMG signals recorded from the skin surface over forearm muscles. Surface EMG signal is decomposed into 16 frequency bands (FB) by wavelet packet transform (WPT), and then wavelet packet entropy (WPE) of every surface EMG signal is calculated by its relative wavelet energy in every FB. WPE is regarded as the f...

The proposed EMG signals analysis relies on the frequency domain where features of healthy EMG signal and myopathic EMG signals are analyzed and compared. Methodology described the relationship between the EMG signals and the properties of a contracting & myopathic muscle by analysing its power density spectrum. Periodogram Mean-Square Spectrum Estimate (PMSSE) of EMG Signal and the Power spect...

The electromyogram (EMG) signal contains lots of information about muscular changes related muscular disorder such as myopathy. In this paper, we present a new method for classification of EMG signals based on singular value decomposition. The EMG signal represent in the matrix form, features extracted from the singular value decomposition and singular value of EMG signal used as features for c...

Multichannel electromyography (EMG) signals are one of the common methods used in human motion pattern recognition. In exoskeleton robot control, EMG signals are measured during dynamic or isometric muscle contractions. Various types of contraction can cause EMG signals to vary, affecting recognition performance. A motion pattern recognition model using EMG signals from either dynamic or isomet...

Electromyography (EMG) is a tool routinely used for a variety of applications in a very large breadth of disciplines. However, this signal is inevitably contaminated by various artifacts originated from different sources. Electrical activity of heart muscles, electrocardiogram (ECG), is one of sources which affects the EMG signals due to the proximity of the collection sites to the heart and ma...